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Senior Data Scientist, Finance-logo
Senior Data Scientist, Finance
Brex Inc.San Francisco, CA
Why join us Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises - including DoorDash, Flexport, and Compass - use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers. What You'll Do Working closely with Finance leadership, you'll develop a financial forecasting system using advanced data science techniques. You'll analyze key business drivers to inform strategic financial decisions and enhance forecast precision. The ideal candidate has expertise in predictive modeling, causal inference, and experience collaborating with Corporate and Strategic Finance teams, particularly in forecasting within a blended revenue model that includes both recurring and consumption-based components. Where you'll work This role will be based in our San Francisco office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year. Responsibilities: Design and build a new top-line revenue and other financial forecasts using predictive modeling and other advanced data science techniques. Collaborate with Finance to integrate predictive insights into existing forecasting processes and refine key assumptions. Partner with Finance to analyze financial performance and uncover key drivers using causal inference, anomaly detection, and exploratory data analysis. Design and implement scalable data pipelines to support financial reporting and forecasting in collaboration with Data Engineering. Mentor junior data scientists and finance analysts to foster a culture of data-driven decision-making. Communicate findings and recommendations clearly to both technical and non-technical audiences. Requirements: Master's degree or Ph.D. in Finance, Statistics, Economics or a related quantitative field. 5+ years of experience in a data science or related role supporting finance teams. Expertise in predictive modeling, causal inference, and time series forecasting. Knowledge of structural finance models, financial planning and analysis (FP&A) workflows and reporting, plus experience working with key performance indicators like LTV, CAC, and ARR. Proficiency in SQL and Python (or R) for data analysis and modeling. Ability to translate complex analyses into strategic recommendations for Finance and business leadership. Familiarity with BI tools (e.g., Tableau, Looker) and financial data sources. Excellent problem-solving skills and the ability to work independently in a fast-paced environment. Strong communication skills, with the ability to work cross-functionally. Bonus Points: Experience building and maintaining financial forecasting models with a high degree of accuracy. Experience working in businesses with blended revenue models that include both recurring and consumption-based components. Compensation The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

Posted 30+ days ago

Data Lead-logo
Data Lead
Marsh & McLennan Companies, Inc.Columbia, SC
Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Data Lead at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As the Data Lead, you will be at the forefront of our data strategy, responsible for overseeing the collection, management, and analysis of data across MMA. In this role, you will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. You will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Your leadership will be crucial in guiding your team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering your team, you will foster a culture of data-driven decision-making and continuous improvement. Staying abreast of emerging technologies and industry trends, you will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Our future colleague. We'd love to meet you if your professional track record includes these skills: Leadership Experience: Proven experience leading data management and analytics teams, with a focus on delivering high-quality insights and solutions that drive business impact. Enterprise Data Understanding: High-level understanding of enterprise data needs, along with a general knowledge of data architecture to facilitate collaboration with IT. Data Governance Expertise: Strong knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and data integrity. Analytical Tools Proficiency: Experience with data analytics tools and programming languages (e.g., SQL, Python, R), as well as familiarity with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Stakeholder Collaboration: Ability to collaborate with both technical and non-technical stakeholders, effectively communicating complex data concepts and analytical findings in a clear and actionable manner. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Problem-Solving Skills: Strong problem-solving skills, with a proven track record of identifying and resolving complex data challenges to enhance operational efficiency. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. Continuous Improvement Mindset: A commitment to fostering a culture of continuous improvement and data-driven decision-making within the organization, encouraging team members to innovate and refine processes. These additional qualifications are a plus, but not required to apply: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Master's degree preferred. 15+ years of experience in data management, analytics, or a related field, with a focus on leadership roles. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: June 16, 2025

Posted 5 days ago

Sr. Systems Analyst (Data Analytics)-logo
Sr. Systems Analyst (Data Analytics)
Contact Government ServicesLincoln, NE
Sr. Systems Analyst (Data Analytics) Employment Type: Full-Time, Mid-Level /p> Department: Information Technology As a CGS Systems Analyst, you will be doing the work of setting up Oracle databases in a UNIX environment, including designing, implementing, troubleshooting, populating, maintaining, documenting, and training users on such systems. Other systems environments and specific project requirements will call for other specific sets of technical skills. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Requires broad knowledge of the Government's IT environments. Office automation networks. PC and server-based databases and applications. Qualifications: This is a senior-level technical position, often the most senior-level technical position for all work for a particular DOJ component. Must demonstrate substantial, hands-on, successful experience in doing the work on the systems being used, usually at least five years of such experience. Other systems environments will require other specific sets of skills. Requires broad knowledge of the Government's IT environments, including office automation networks, and PC and server-based databases and applications. Experience in a litigation support environment is extremely helpful. Excellent oral and written communication skills are required. The ability to lead a technical team, and to give it direction, will be essential, as will the demonstrated ability to analyze the attorneys' needs and to design and implement a whole system solution responsive to those needs. Ideally, you will also have: Undergraduate degree in the computer science or information management/technology disciplines. Supervisory experience. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $149,760 - $216,320 a year

Posted 30+ days ago

Sr. Data Analyst (Sales And Marketing Insights)-logo
Sr. Data Analyst (Sales And Marketing Insights)
Human SecurityNew York, NY
HUMAN was founded in a Brooklyn sci-fi bookstore with a hacker mindset and the lofty mission of making the internet safer by putting humans first. Today, our Human Defense Platform safeguards enterprises from sophisticated bots, fraud, and account abuse-verifying the humanity of more than 20 trillion interactions per week for the world's biggest brands and internet platforms. Being HUMAN isn't just our name - it's how we show up for customers, partners, and most of all, our team. That means competitive pay, generous benefits, and meaningful perks - all in a culture that celebrates what matters to you, whether that's marathon training, your pets, or your favorite robot (we have many). HUMAN is growing fast, and there's never been a more meaningful time to join us. If you thrive on solving complex problems and want to help shape the future of cybersecurity, join us as we build a safer, more human internet. The Data & Analytics team mission is to enable rapid, data-informed decision-making for HUMAN. We do so by curating a 360 degree view utilizing a mixture of proactive insights, self-service data sets, and supporting infrastructure. We're looking for a Senior Data Analyst to join our team to help build better data infrastructure and scale our current reporting. Sitting at the intersection of trillions of data points, coming from hundreds of industries, domains and apps, your role will be the intermediary, delivering insights and reporting to Finance, Marketing, and Operations and ensuring that we have reliable, insightful views curated to assist in data driven decision making. In particular, you will focus on improving our current reporting to be more streamlined and provide deeper analysis within both operational and product verticals. What you'll do: Lead the analysis of large and complex data sets (trillions of data points across multiple product lines) to extract meaningful insights, trends, and patterns to support business decisions around our core products Collaborate with cross-functional teams, including Marketing, Finance, Product, and Rev Ops, to provide data-driven recommendations to help scale and optimize our current business operations Develop and augment existing data models and automated data pipelines (through dbt and Looker) to improve the efficiency and accuracy of data analysis Leveraging our internal data, which includes traffic from over 2 million domains and 1 million apps, create interactive dashboards and reports using BI tools to communicate insights to stakeholders Find opportunities for process optimization and operational improvements ensuring we have data accuracy and integrity in all parts of the operational funnel Who you are: Ideal candidates will reside in Eastern time zone locations Excellent SQL skills (window functions, subqueries, CTEs, temp functions) Familiarity with Salesforce Ability to work cross-functionally with both senior technical and non-technical team-members Experience utilizing a modern data stack (Snowflake, Github, dbt) Comfortable working in an agile environment Strong attention to detail particularly as it relates to data validation 4 - 6 years of relevant experience in data analytics The base pay range for this position is $125,000- $160,000 which can include additional on-target bonus and/or incentives. The base pay offered may vary depending on location, job related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered. #LI-CW1 HUMAN prides itself on being an equal opportunity workplace. We firmly believe in putting people first regardless of who you are, where you come from, how you identify, or who your favorite robot is (we have many). We are on a mission to protect the integrity of the internet for everyone, so we welcome all individuals to come to share their unique experiences and perspectives as we fight against cybercrime together! With Humans located in all parts of the world, we've fully embraced our diversity of thought and are always looking for innovative ways to connect with one another - even in virtual reality! Although New York City is our HQ, we have teams in Tel Aviv, Israel; London, UK; Victoria, Canada; San Mateo, CA; Miami, FL; and Virginia. We trust our Humans in choosing where they work and how they work. The total rewards package we provide reflects our commitment to our Humans' personal career development, which includes annual stipends for wellbeing and learning & development. We also offer weekly in-office lunch for hybrid employees, dedicated time off, HUMAN days, and so much more. We're constantly trying to anticipate the needs of our Humans to ensure each one of us is equally prepared to do some of the best work of our life. Taking care of one another is part of the HUMAN experience and how we build true HUMAN connections. If you are an individual with a disability or special need that requires accommodation, please contact us directly.

Posted 30+ days ago

Group Product Manager (Data Orchestration And Insights)-logo
Group Product Manager (Data Orchestration And Insights)
WorkatoPalo Alto, CA
As Group Product Manager, you will define and execute the strategy to establish Workato as the enterprise leader in data orchestration. Your goal is to build a unified platform that seamlessly orchestrates data pipelines for ETL, ELT, and Reverse ETL (data activation)-eliminating the need for fragmented tools and enabling enterprises to move data efficiently across their ecosystem. What You'll Do Leadership in Enterprise Data Orchestration Develop and execute the product strategy for a unified data orchestration platform supporting ETL, ELT, and Reverse ETL (data activation) across SaaS, data warehouses, data lakes, and custom sources. Define and prioritize built-in transformation capabilities and integrations with tools like DBT and Coalesce to scale ELT pipelines efficiently. Ensure seamless data ingestion, movement, and activation across structured, semi-structured, and unstructured data formats. Build End-to-End Governance & Operations Embed data quality, lineage, governance, and operational analytics as core platform features, ensuring enterprises have built-in compliance and data integrity controls. Develop native observability and automation tools to monitor pipeline performance, detect anomalies, and proactively enforce data governance policies. Ensure the platform meets enterprise security, compliance, and scalability requirements, making Workato the go-to orchestration solution for large-scale deployments. Drive AI-Powered Innovation Leverage AI to enhance data classification, transformation recommendations, and self-healing pipelines that minimize operational overhead. Integrate predictive analytics and semantic enrichment to automate data mapping, improve pipeline efficiency, and surface actionable insights. Work with AI research teams to infuse machine learning into Workato's data services, driving continuous optimization and smarter decision-making. Advanced Data Virtualization & Analytics Architect a self-service data virtualization platform that provides a self service experience, enabling users to explore and analyze data from third-party apps, data warehouses, data lakes, Workato usage data, and custom datasets in real time. Develop interactive dashboards and AI-powered analytics that empower businesses to make data-driven decisions without deep technical expertise. Ensure seamless cross-platform data integration to unify enterprise data landscapes and drive deeper insights. Lead Cross-Functional Execution Collaborate with engineering, UX, and go-to-market teams to ensure seamless feature adoption. Act as a thought leader internally and externally, driving customer trust and enterprise adoption. Who you are Leadership & Product Management 7+ years of product management experience in SaaS or B2B environments, specializing in data management, data orchestration, or infrastructure products. Proven success in shipping and scaling complex data products with measurable business impact. Strong track record in leading cross-functional teams, influencing product strategy, and driving execution in fast-paced environments. Data Orchestration & Platform Expertise Deep expertise in ETL, ELT, Reverse ETL, and data activation pipelines. Strong understanding of modern data architecture, including data lakes, data warehouses, structured and semi-structured data processing. Experience with data transformation tools (DBT, Coalesce) and orchestration frameworks (Airflow, Dagster) to build scalable pipelines. Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery). Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies. Hands-on experience with data virtualization and analytics platforms (Denodo, Domo) to enable seamless self-service data exploration and analytics. Strong background in cloud platforms (AWS, Azure, Google Cloud) and their data ecosystems. AI & Intelligent Data Automation Experience integrating AI/ML-driven insights into data management products to enhance data quality, lineage tracking, and transformation recommendations. Strong understanding of predictive analytics, anomaly detection, and semantic data enrichment for operational intelligence. Security, Governance & Observability Deep knowledge of data security, compliance, and governance best practices for enterprise data platforms. Experience embedding data lineage tracking, data quality validation, and operational analytics as core product functionalities. Strong expertise in real-time observability, automation, and performance monitoring for data pipelines. Customer-Centric Execution Ability to deeply understand customer needs across data engineering, analytics, and business intelligence teams. Proven ability to translate complex technical concepts into intuitive, user-friendly product capabilities. Skilled at collaborating with engineering, UX, security, legal, and go-to-market teams to drive enterprise adoption. Analytical & Data-Driven Decision Making Strong ability to use customer research, data analytics, and competitive insights to inform product decisions. Experience analyzing large-scale data platforms to optimize usage trends and pipeline performance. Educational Background Bachelor's Degree in Computer Science, Engineering, Data Science, or a related field. An MBA or advanced degree is a plus but not required. Our target compensation is around $230,000 USD plus stock options, but the final package will depend on the interview process. We're open to negotiation and committed to aligning with the salary expectations (REQ ID: 1733)

Posted 30+ days ago

Senior Data Engineer-logo
Senior Data Engineer
HandshakeSan Francisco, CA
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply. Want to learn more about what it's like to work at Handshake? Check out these interviews from our team members! Your impact At Handshake, we are assembling a team of dynamic engineers who are passionate about creating high-quality, impactful products. As a Senior Data Engineer, you will play a key role in driving the architecture, implementation, and evolution of our cutting-edge data platform. Your technical expertise will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources. Our primary focus is on building a robust data platform that empowers all teams to develop data-driven features while ensuring that every facet of the business has access to the right data for making informed conclusions. While this individual will work closely in collaboration with our ML teams, they will also be supporting our businesses data needs as a whole. Your role Technical leadership: Taking ownership of the data engineering function and providing technical guidance to the data engineering team. Mentoring junior data engineers, fostering a culture of learning, and promoting best practices in data engineering. Collaborating with cross-functional teams: Working closely with product managers, product engineers, and other stakeholders to define data requirements, design data solutions, and deliver high-quality, data-driven features. Data architecture and design: Designing and implementing scalable and robust data products that enable self-serve analytics for internal and external use. Staying abreast of emerging technologies and tools in the data engineering space, evaluating their potential impact on the data platform, and making strategic recommendations. Performance optimization: Identifying performance bottlenecks in data processes and implementing solutions to enhance data processing efficiency. Data quality and governance: Ensuring data integrity, reliability, and security through the implementation of data governance policies and data quality monitoring. Advancing our Generative AI strategy: Leveraging your Data Engineering knowledge to design and implement data pipelines that support our AI Initiatives for both internal development and product features, advising and working in collaboration with our ML teams. Your experience Extensive data engineering experience: A proven track record in designing and implementing large-scale, complex data pipelines, data warehousing solutions, and data products. Deep knowledge of data engineering technologies, tools, and frameworks. Software engineering excellence: Experience implementing software engineering best practices in build services for data consumption, ensuring reliability, maintainability, and scalability of data delivery systems. Cloud platform proficiency: Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and more Problem-solving abilities: Exceptional problem-solving skills, with the ability to tackle complex data engineering challenges and propose innovative solutions. Collaborative mindset: A collaborative and team-oriented approach to work, with the ability to communicate effectively with both technical and non-technical stakeholders. Bonus areas of expertise Machine learning for data enrichment: Experience in applying machine learning techniques to data engineering tasks for data enrichment and augmentation. End to end data service deployment, comfortable with product alignment of data-driven initiatives Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes. dbt: Experience with dbt as a data transformation tool for orchestrating and organizing data pipelines. Compensation range $184,000-$230,000 For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above. About us Handshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake's network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce-from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you're going, not where you've been. When it comes to our workforce strategy, we've thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week (unless noted in the specific job posting). Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin. What we offer At Handshake, we'll give you the tools to feel healthy, happy and secure. Benefits below apply to US employees in full-time positions. Equity and ownership in a fast-growing company. 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents. Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support. Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career. Financial coaching through Origin to help you through your financial journey. Monthly internet stipend and a brand new MacBook to allow you to do your best work. Monthly commuter stipend for you to expense your travel to the office (for office-based employees). Free lunch provided 3x a week across all offices. Referral bonus to reward you when you bring great talent to Handshake. 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year. All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off. Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home. Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming! Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more. Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers. Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

Posted 1 day ago

Systems Analyst (Data Analytics)-logo
Systems Analyst (Data Analytics)
Contact Government ServicesYellowstone, WY
Systems Analyst (Data Analytics) Employment Type: Full-Time, Mid-Level /p> Department: Information Technology As a CGS Systems Analyst, you will be doing the work of setting up Oracle databases in a UNIX environment, including designing, implementing, troubleshooting, populating, maintaining, documenting, and training users on such systems. Other systems environments and specific project requirements will call for other specific sets of technical skills. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Requires broad knowledge of the Government's IT environments. Office automation networks. PC and server-based databases and applications. Qualifications: This is a senior-level technical position, often the most senior-level technical position for all work for a particular DOJ component. Must demonstrate substantial, hands-on, successful experience in doing the work on the systems being used, usually at least five years of such experience. Other systems environments will require other specific sets of skills. Requires broad knowledge of the Government's IT environments, including office automation networks, and PC and server-based databases and applications. Experience in a litigation support environment is extremely helpful. Excellent oral and written communication skills are required. The ability to lead a technical team, and to give it direction, will be essential, as will the demonstrated ability to analyze the attorneys' needs and to design and implement a whole system solution responsive to those needs. Ideally, you will also have: Undergraduate degree in the computer science or information management/technology disciplines. Supervisory experience. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $116,480 - $149,760 a year

Posted 30+ days ago

Data Lead-logo
Data Lead
Marsh & McLennan Companies, Inc.Statesville, NC
Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Data Lead at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As the Data Lead, you will be at the forefront of our data strategy, responsible for overseeing the collection, management, and analysis of data across MMA. In this role, you will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. You will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Your leadership will be crucial in guiding your team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering your team, you will foster a culture of data-driven decision-making and continuous improvement. Staying abreast of emerging technologies and industry trends, you will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Our future colleague. We'd love to meet you if your professional track record includes these skills: Leadership Experience: Proven experience leading data management and analytics teams, with a focus on delivering high-quality insights and solutions that drive business impact. Enterprise Data Understanding: High-level understanding of enterprise data needs, along with a general knowledge of data architecture to facilitate collaboration with IT. Data Governance Expertise: Strong knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and data integrity. Analytical Tools Proficiency: Experience with data analytics tools and programming languages (e.g., SQL, Python, R), as well as familiarity with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Stakeholder Collaboration: Ability to collaborate with both technical and non-technical stakeholders, effectively communicating complex data concepts and analytical findings in a clear and actionable manner. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Problem-Solving Skills: Strong problem-solving skills, with a proven track record of identifying and resolving complex data challenges to enhance operational efficiency. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. Continuous Improvement Mindset: A commitment to fostering a culture of continuous improvement and data-driven decision-making within the organization, encouraging team members to innovate and refine processes. These additional qualifications are a plus, but not required to apply: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Master's degree preferred. 15+ years of experience in data management, analytics, or a related field, with a focus on leadership roles. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: June 16, 2025

Posted 5 days ago

Lead Data Engineer-logo
Lead Data Engineer
Skillz Inc.Las Vegas, NV
Join Skillz and Level Up Your Career! Are you ready to take your career to the next level? Join Skillz, the first publicly-traded mobile esports platform that hosts billions of casual mobile gaming tournaments for millions of players worldwide. Skillz is revolutionizing the gaming industry, providing the ultimate platform for competitive mobile games. By fostering social competition within games, Skillz empowers developers to create multi-million dollar franchises while connecting players through fair, enjoyable, and meaningful competition. At Skillz, we firmly believe that everyone is born with unique skills and deserves to experience an epic win. We understand the thrill of achievement and the satisfaction of overcoming challenges. That's why we passionately champion game developers and players alike, empowering them to unleash their full potential through the power of competition. Life @ Skillz Culture of Impact: Join a united team of builders, creators, innovators, and entrepreneurs driven by the desire to win. At Skillz, we create value and make a difference in the world. Comprehensive Benefits: Enjoy peace of mind with our comprehensive benefits package, which includes 100% coverage for medical, dental, and vision expenses for both you and your entire family. Additionally, take advantage of our 401K matching, equity incentives, pre-tax benefit options, and more. Wellness Support: Enhance your well-being with our array of wellness initiatives, including meditation and mental health resources, physical fitness coaching and classes, family planning assistance, health and parenting guidance, virtual therapy sessions, and more. Perks: We believe in enhancing your work experience. Enjoy daily breakfast, lunch, dinner, snacks, a full-size gym with showers, commuter benefits, insurance, and many more. We also offer competitive paid time off (PTO) & company holidays to help you recharge and pursue your passions. Why Skillz? Pioneers of Skill-Based Competition: Skillz is not just any company in the gaming industry; we are the pioneers of skill-based competition, partnered with industry titans like UFC, NFL, T-Mobile, Buzztime, Bowlero, while also hosting renowned events like the Game Developer Conference (GDC). Join us in transforming the way people play games and building the home of competition for all. Impact Beyond Gaming: Skillz harnesses the power of its platform to support nonprofit organizations such as Susan G. Komen, American Cancer Society, the NAACP, and more. By participating in Skillz tournaments, you can make a difference and contribute to causes you care about. Recognized Success: Skillz has earned recognition as one of Fast Company's Most Innovative Companies, CNBC's Disruptor 50, San Francisco Business Times' Best Places to Work, Forbes' Next Billion-Dollar Startups, and the #1 fastest-growing company in America on the Inc. 5000 list, and many more. Talent Magnet: Join a team of talented professionals who are passionate about what they do. Our team includes experts from Meta, Apple, Amazon, Google, Microsoft, Tesla, Twitter (X), Roblox, Zynga, Samsung, Lyft, EA, Riot, Nexon, Gameskraft, PlayStation, Unity, Scopely, Tinder, Intel, Deloitte, EY, Twitch, DraftKings, and more. The Future of Gaming Awaits! The gaming industry is larger than movies, music, and books combined, with over 3 billion active gamers playing monthly and over 25 million active developers worldwide. Mobile gaming, in particular, is the fastest-growing segment, projected to reach $300 billion by 2025. At Skillz, you have the opportunity to be at the forefront of this exciting industry and shape its future. Job Description: As the Lead Data Engineer - you'll report to Guillermo Barrios Zacarias - our Head of Data Engineering and spearhead the technical vision and strategy for the Data organization. 6+ years of Data engineering experience. Strong proficiency in SQL and Python for data (e.g., pandas, dataframes, data manipulation, etc.) Hands-on production experience with data warehouses (Snowflake, Redshift, or BigQuery) Experience building ETL and ELT pipelines using tools such as Debezium, DMS, StreamSets, or DBT Familiarity with job orchestration tools such as Airflow and Jenkins. Experience with data stream processing tools such as Kafka, Spark, or Flink. Availability for off-hours on-call support. Experience in mentoring engineering teams to foster their career growth and technical skills, whether as a Tech Lead (TL), Software Architect, or hands-on Engineering Manager. Able to work in-office 5 days a week in Las Vegas (relocation assistance available for brand new Vegas HQ) Bonus / Extra Credit: Experience in the Gaming Industry (ideally). Proficient in Java (Spring Boot or similar framework) or Python (Flask or similar framework) for backend development. Experience building out segmentation platforms. Supported Business Intelligence and User Acquisition functions. Machine Learning (ML) experience. Experience with recognized industry patterns, methodologies, and techniques. Total Starting Compensation including Base + Bonus + Equity: $208,000 Join Skillz and Let's Redefine the Boundaries of Gaming! Together, we'll create a world where skill, passion, and innovation thrive. Join our team and be part of the journey. We look forward to having you on board! #LI-JM1 Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance.

Posted today

Senior Data Engineering Leader - Hands On-logo
Senior Data Engineering Leader - Hands On
Voya Financial Inc.Boston, MA
Together we fight for everyone's opportunity for a better financial future. We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today. Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision. Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage- Apply Now Get to Know the Opportunity: Highest level technical resource overseeing the technical aspects of software projects to achieve the Investment Management line of business goals. Responsible for designing and writing software, and for providing guidance and oversight to multiple teams working on numerous products and/or developing various forms of technologies. Think strategically and have long-range goals in mind. The Contributions You'll Make: Lead the design and development of scalable and performant data pipelines using best-in-class tools and practices. Parse, analyze, and understand datasets with a focus on application in business use-cases. Manage data storage solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Perform data reconciliations, validations, quality checks across various data sources and systems and identify enrichment opportunities. Acts as a technical SME, prepares technical specifications and design specifications. Advocate for data quality through automation, validation frameworks, and rigorous testing both internally and externally Analyze project requirements and accordingly provide technical and functional recommendations. Leads data engineers, fostering a culture of continuous learning and improvement and providing guidance and support in their professional development. Recommend new technologies to improve system performance and reliability to senior leadership. Minimum Knowledge and Experience: Bachelor's degree in Computer Science, MIS, Engineering or a directly related field 10+ years of experience in data engineering, with a strong background in building and maintaining data pipeline and ELT processes to ingest data from external data provider. Data warehouse model experiences with financial IBOR / ABOR, transaction, market data, and/or reference data. 8+ years of experience in data engineering, with 5+ years in leadership roles, managing large, distributed teams Demonstrated leadership in managing competing priorities and delivering results in a fast-paced environment. Strong data analytical proficiency with SQL and Python Experiences with Snowflake and Snowpark. Experiences with dbt. Experiences with Data Test and Quality framework such as SODA, Great Expectation, dbt test. Experiences with orchestration tools such as Airflow, Prefect, Luigi, or Dagster. Experiences with scheduling tools such as Tidal, Control-M, or cron. Excellent communication skills with the ability to collaborate effectively with cross-functional business and technology group. Nice to have Experience: Experiences with Databricks and PySpark. Experiences with LLMs and NLP Experiences with Market Data and/or Alternative Data Experiences with PowerBI, Tableau, or Looker #LI-BP1 Compensation Pay Disclosure: Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities. The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting. Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. $145,470 - $192,590 USD Be Well. Stay Well. Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well. What We Offer Health, dental, vision and life insurance plans 401(k) Savings plan - with generous company matching contributions (up to 6%) Voya Retirement Plan - employer paid cash balance retirement plan (4%) Tuition reimbursement up to $5,250/year Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day. Paid volunteer time- 40 hours per calendar year Learn more about Voya benefits (download PDF) Critical Skills At Voya, we have identified the following critical skills which are key to success in our culture: Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations. Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution. Team Mentality: Partnering effectively to drive our culture and execute on our common goals. Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions. Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage. Learn more about Critical Skills Equal Employment Opportunity Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law. Reasonable Accommodations Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities. Misuse of Voya's name in fraud schemes

Posted 30+ days ago

Data Scientist Developer-logo
Data Scientist Developer
Miklos Systems, Inc.Fairfax, VA
Miklos Systems, Inc. is an Employee-Owned company providing software and systems engineering services to customers, primarily in the Federal Government. Our value to customers is our expertise in building, delivering, and supporting solutions using a disciplined, engineering-based agile approach. We are currently looking for a talented Data Scientist Developer. The Data Scientist Developer works on data manipulation and exploitation. Works closely with an analytics team to exploit data, assess and manipulate large amounts of data, and communicate actionable results to end users. Integrate, analyze, evaluate, and assess quantitative data to contribute to or develop IT solutions to requirements such as software tools, analytic models, or reports. Responsibilities/Required Skills include: Demonstrated experience programming in Python. Demonstrated experience analyzing questions, formulating requirements, determining suitable analytic approaches, evaluating results, and communicating findings to partners and stakeholders. Demonstrated experience working with data in a variety of structured and unstructured formats. Demonstrated experience with a variety of database types including SQL and noSQL. Demonstrated experience defining requirements and infrastructure for running large-scale graph analytics in a production environment. Demonstrated experience defining requirements and infrastructure needs for natural language processing in a production environment. Active TS/SCI clearance with polygraph is required.

Posted 30+ days ago

Celonis Data Engineer- State & Local Government-logo
Celonis Data Engineer- State & Local Government
GuidehouseAnnapolis Junction, MD
Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 50% Clearance Required: Ability to Obtain Public Trust About our Project Guidehouse is supporting a statewide ERP implementation, to include: 1) Developing a financial data strategy; 2) Assessing current financial and related data; 3) Developing a data migration plan; 4) Establishing data governance practices. This position will concentrate on supporting the data profiling and migration activities for this digital modernization effort utilizing Celonis. What You Will Do: Participate in data discovery and assessment activities to determine current data quality, data capabilities, and implications on organizational operations and data usage Execute data profiling activities and support the review and interpretation of results using Celonis and other analytical tools Support data engineering activities to map and transform data prior to ingestion into Celonis for process mining Develop custom SQL and PQL scripts in the Celonis platform to support data integration and transformation activities Assist with developing a data migration plan for the ERP system Coordinate closely with the broader data team to include the data strategy workstream What You Will Need: Ability to OBTAIN and MAINTAIN a Federal Public Trust Bachelor's degree AND Three (3+) years relevant post-graduation work experience; Or Master's degree AND One (1+) years relevant post-graduation work experience Must have post-graduation work experience using Celonis platform. Candidates who do not have Celonis experience will not qualify nor can be considered for this role Extensive experience with SQL and PQL or other approaches to query and analyze large data sets Data management experience that spans across the data lifecycle and critical functions (e.g., data profiling, data modelling, data engineering, data consumption product and services) Excellent communications and demonstrated hands on experience communicating technical topics with non-technical audiences Ability to effectively collaborate and manage the timely completion of assigned activities while working in a highly virtual team environment Ability to work onsite in a Guidehouse Office and Client Office location 2-3 times per week in the Baltimore, MD / Annapolis, MD areas What Would Be Nice To Have: Preference will be given to candidates within reasonable driving distance of a core Guidehouse Office listed on the posting only. Certified Data Management Professional (CDMP) or another comparable data management certification in addition to CELONIS. Hands on experience supporting formal data profiling and data migration initiatives in combination with Celonis experience Experience with financial data modelling, data migration, and/or data architecture development in combination with Celonis experience Experience with legacy financial management system modernization and associated data migration plan development Familiarity of financial data and understanding of key accounting and financial functions Familiarity with large enterprise applications, including enterprise resource planning (ERP) software systems Demonstrated work experience for financial services or public sector clients Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics #LI-RE1 The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Posted 30+ days ago

Data Scientist-logo
Data Scientist
ParafinSan Francisco, CA
About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us to create fair, automated, and broad access to financial services. As Parafin scales, the breadth and depth of our data grows with it, amplifying the impact we can have on customers and the trajectory of the business. Our Team Enthusiasm, skepticism, and respect for data are in our DNA - two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to detail, and craftsmanship. Our Work Our mission is to help Parafin succeed by leveraging the vast data that powers our platform. Our team partners closely with leaders across the company to drive impact. Our scope includes: Go-To-Market: We collaborate with our sales leaders to convey the value of embedded finance to prospective partners. Example projects: Identifying the impact of financial access on platform GMV using quasi-random variation Running simulations to assess the risk of offering financial products on specific platforms Portfolio Monitoring and Servicing: We develop tooling to maintain portfolio health, driving sustainable growth for Parafin, our capital markets partners, and the small businesses we serve. Example projects: Estimating survival curves to predict cohorted loss rates Deploying LLM-based models to automatically identify bankruptcy from web data Product and Growth: We drive strategic decision-making and product design at the highest levels of the company. Example projects: Designing experiments to increase offer size for low-risk merchants Building tools to instrument and diagnose user behavior in our application flow Underwriting: We build models and systems to decide which SMBs receive offers for each financial product and on what terms. Example projects: Training a quantile regression model to forecast the distribution of SMB revenues and precisely size our financing offers Applying convex optimization to generate competitive financing offers Beyond these focus areas, our team helps expand our impact by recruiting exceptional talent, improving our tools, and supporting each other through regular seminars and project reviews. About You Your Impact You will make an outsized impact on Parafin's trajectory by leading projects from end to end. You will quickly learn new methods, apply them across diverse areas of the business, and implement them robustly. You will develop expertise in specific areas of the business, but may tackle projects across domains as our priorities evolve. Your Background and Skills Bachelor's Degree (or higher) in Computer Science, Statistics, Mathematics, Data Science (or related fields). We believe the most effective data scientists bring the following skills to their work: Statistical Reasoning Approach data analysis with a critical, intellectually honest eye Design concise metrics that guide decision making Use robust causal inference methods Develop valid and predictive machine learning models Business Acumen Identify and effectively prioritize business problems Solve business problems using appropriate data science techniques Anticipate the impact of your work on our financial performance, customers, and compliance obligations Engineering Mindset Write legible, reliable, and tested code Build or source tools to boost the team's efficiency Contribute to model and data infrastructure design Leadership and Collaboration Model Parafin's values of efficiency, intellectual honesty, accountability, and empathy Build trusted relationships with stakeholders Document work, seek feedback, and share learnings proactively Focused Execution Prioritize high-impact use of your time Scope projects rigorously Act with urgency What We Offer Salary $175k-$220k + EQ Senior Level Salary $230-$290k + EQ Equity grant Medical, dental & vision insurance Unlimited PTO & work from home flexibility Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Posted 30+ days ago

Principal Enterprise Architect - Technology - Operational Data (E.G. Relational, Nosql, Cloud, Vector)-logo
Principal Enterprise Architect - Technology - Operational Data (E.G. Relational, Nosql, Cloud, Vector)
Truist Financial CorporationAtlanta, GA
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Teammate reports to the Chief Architect for Core Technology. They will focus on system architecture elements consumed enterprise-wide with a focus on the operational data elements of technical infrastructure required to accelerate hybrid cloud transformation. Leads in the development of enterprise architecture principles, patterns, standards, and practices for operational data products and their incorporation into infrastructure platforms and utilization by the application portfolio as well as adherence to those practices. Partners closely with operational data Product Line Executive in the architecture, design, and stakeholder management of CIO level cross-functional delivery teams (Tech Delivery and Operations, Business, Risk, Cyber, Data) as well as support organizations (HR, finance, etc.) to drive product innovation & optimization to ensure the delivery of secure resilient application consumable solutions to the customer. Applies advanced knowledge of banking technology and IT architecture principles to identify and evaluate alternatives across the constantly evolving landscape of operational data architectures and solutions. Leads the selection of methodologies, tools, and components for the operational data elements of total IT solutions. The successful Operational Data Enterprise Architect: Provides guidance and support for solution architects on the implementation of operational data within complex architectural patterns on a variety of multi-platform systems; Develops operational data architecture plans and reviews cost and feasibility of alternatives while ensuring the plan supports the strategic needs of the company; Interprets internal/ external business challenges and recommends best practices on selecting and adopting operational data solutions; Uses sophisticated analytical thought to exercise judgment and identify innovative solutions; Designs strategies for enterprise online transactional processing (OLTP) databases; Sets standards for database operations, programming, query processes, and security; Contributes to the model, design, and construction of large relational and non-relational databases in traditional distributed and cloud native environments; Creates and optimizes data models for performance and functionality. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Top down operational data centered infrastructure architecture roadmap development and design with focus on enabling software defined infrastructure implementation, provisioning and consumption, along with collaboration with infrastructure and application technology leaders and risk partners to refine and instantiate a hybrid cloud strategy reflecting corporate objectives/strategy and risk appetite Architect cross-cutting enterprise infrastructure solutions that span across multiple CIOs and domains and across the spectrum of operational data technologies Provide thought leadership based on hands-on experience in the development and modernization of operational data technology standards enabling modern approaches to technology resiliency Set, adapt, and instantiate strategic direction for operational data technology infrastructure in alignment with the Business Strategy and Technology standards and provide thought leadership in the development of an enterprise strategic IT plan. Maintain a high level of awareness and understanding of existing and emerging operational data technologies, as well as industry and bank issues, to effectively match them. End to end accountability to review and approve design solutions that are fit-for-purpose in meeting the business needs of the enterprise while continuing the evolution of the technology landscape Lead or "jump start" operational data centric initiatives deemed critical to and Truist's technology services Provide thought leadership in new technology innovation, incubation, introduction and implementation critical to Truist's technology and business strategy roadmaps and ongoing success Develop and document operational relational and non-relational database architectures. Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements and translate into implementable database solutions. Develop database architectural strategies at the modeling, design, and implementation stages to address business or industry requirements. Design databases to support business applications, ensuring system scalability, security, performance, and reliability. Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure. Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs. Create and enforce database development standards. Identify and evaluate industry trends in database systems. Demonstrate database technical functionality, such as performance, security, and reliability. Design load-balancing processes to eliminate down time for backup processes. Identify, evaluate, and recommend hardware or software technologies to achieve desired database performance. Identify and correct deviations from database development standards. Develop data models for applications, metadata tables, views, or related database structures. Document database schemas, using accepted notations. Develop data models describing data elements and their use. Plan and install upgrades of database management system software to enhance database performance. Test programs or databases, correct errors, and make necessary modifications. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in Computer Science, Information Technology, Business, or related field Twenty (20) years of architecture/design/delivery experience which includes fifteen (15) years of enterprise architecture experience or twenty years' solution architecture experience in technology and security, and ten years of banking/financial business domain Comprehensive experience with various architectural domains including infrastructure and complementary domains such as application, data, and integration Strong analytical and broad architectural skills Strong verbal and written communication skills Strong negotiation/facilitation skills Significant knowledge of current and emerging architecture principles, methodologies and tools Experience as negotiator with vendors for relevant products and services Demonstrated competency in strategic thinking with ability to differentiate feasible from academic solutions Demonstrated thought-leadership skills with the ability to translate high-level business planning information into application needs/solutions Demonstrated proficiency in basic computer applications, such as Microsoft Office software products Ability to travel, occasionally overnight Preferred Qualifications: Relational Database management system software- Microsoft SQL Server; PostgreSQL; IBM DB2; Oracle; AWS DynamoDB; AWS Aurora; Azure Cosmos DB; Couchbase No SQL Database- MongoDB; AWS DynamoDB Configuration management software- Terraform; Red Hat Ansible Engine Database schema automation- LiquidBase Database replication- MS SQL Server Always On; Pacemaker; Tivoli System Automation; Oracle Data Guard; Rubrik Data integration- Microsoft SQL Server Integration Services (SSIS) Business intelligence and data analysis software- Microsoft SQL Server Analysis Services (SSAS); Microsoft SQL Server Reporting Services (SSRS); Microsoft Power BI General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Posted 6 days ago

Privacy Analyst, Enterprise Data Privacy Office-logo
Privacy Analyst, Enterprise Data Privacy Office
Financial Industry Regulatory Authority, Inc.Boca Raton, FL
The Enterprise Data Privacy Office (EDPO) is responsible for ensuring that FINRA meets or exceeds its legal and ethical obligations with respect to the security and use of information it collects while executing its responsibilities, fostering the confidence of firms, regulators, staff and the investing public. The Data Privacy Analyst performs a variety of specific duties depending upon the current needs of the EDPO department under the general direction by the Senior Director and Counsel, Enterprise Data Privacy Office. This position will require a close partnership with the entire EDPO team. Essential Job Functions: As directed by senior staff within the Privacy Office: Support FINRA's efforts for implementing, maintaining and monitoring the Company's data security and privacy program. These efforts specifically include the development, creation, and dissemination of privacy program metrics and reporting of metrics to the FINRA Compliance Office and the Cyber & Information Security group, as appropriate. Assist in maintaining and approving methodologies for the review and documentation of the Company's internal controls over data collection and dissemination. Assist in developing and conducting EDPO compliance activities, including the development and implementation of new policies or solutions, managing annual training completion and tracking, conducting incident reviews and responses, and engaging with other compliance programs. Assist with Privacy Impact Assessments and other privacy governance projects. Track current EDPO initiatives and analyze the extent to which data security policies are incorporated. Make specific recommendations for improvements and document compliance and department procedures. Track and support internal and external audit and certification document production, schedules, and responses. Track mitigation and remediation efforts as needed. Review departmental data policies, compare to corporate policies, identify gaps, and make recommendations for improvement. Develop and maintain metrics that represent departmental compliance with corporate policies. Manage EDPO's technology and business contracts and ensure timely renewals and processing. Responsible for facilitating corporate and cross-departmental communications regarding the Company's data security program. Provide support to FINRA constituents that require guidance on data dissemination issues. Act as a representative of the business data user community in various forums. Demonstrates of FINRA's values. Collaborates, both in-person and virtually, in furtherance of FINRA's mission of investor protection and market integrity. Education/Experience Requirements: Bachelor's in business or other relevant field and five (5) years of compliance or privacy program experience, or equivalent combination of education and experience. Excellent written and oral communication skills with the ability to communicate at all levels of the organization. Strong interpersonal, collaboration, analytic, organizational and document management skills. Ability to work under time pressure with minimal supervision. Advanced MS Excel experience (functions, pivot tables, and charts) is a plus. Project management experience is a plus. Working Conditions: Hybrid work environment, with defined in-person presence requirements. Extended hours as needed. Travel occasionally required For work that is performed in CA, CO, HI, MN, VT, IL, Jersey City, NJ, New York City, NY, MA, WA, MD, Washington, DC, NJ State and NY State, please refer to the chart below for the salary range for the corresponding location. In addition to location, actual compensation is based on various factors, including but not limited to, the candidate's skill set, level of experience, education, and internal peer compensation comparisons. CA: Minimum Salary $94,200, Maximum Salary $176,000 CO/HI/MN/VT*: Minimum Salary $81,900, Maximum Salary $146,600 IL*: Minimum Salary $90,100, Maximum Salary $161,300 Jersey City, NJ/NYC, NY: Minimum Salary $98,300, Maximum Salary $176,000 MA/WA: Minimum Salary $81,900, Maximum Salary $168,600 MD/Washington, DC: Minimum Salary $94,200, Maximum Salary $168,600 NJ State: Minimum Salary $90,100, Maximum $176,000 NY State: Minimum Salary $81,900, Maximum Salary $176,000 Including positions performed outside the state but reporting to an office or manager in that state. Candidates can expect salary offers that range from the minimum to the mid-point of the salary range. FINRA provides full pay ranges so that the candidate can consider their growth potential while at FINRA. #LI-Hybrid To be considered for this position, please submit an application. Applications are accepted on an ongoing basis. The information provided above has been designed to indicate the general nature and level of work of the position. It is not a comprehensive inventory of all duties, responsibilities and qualifications required. Please note: If the "Apply Now" button on a job board posting does not take you directly to the FINRA Careers site, enter www.finra.org/careers into your browser to reach our site directly. FINRA strives to make our career site accessible to all users. If you need a disability-related accommodation for completing the application process, please contact FINRA's Employee Relations team at 240.386.4865 or by email at EmployeeRelations@finra.org. Please note that this process is exclusively for inquiries regarding application accommodations. Employees may be eligible for a discretionary bonus in addition to base pay. Non-exempt employees are also eligible for overtime pay in accordance with federal, state, or local law. As part of its dedication to employee wellness, FINRA provides comprehensive health, dental and vision insurance. Additional insurance includes basic life, accidental death and dismemberment, supplemental life, spouse/domestic partner and dependent life, and spouse/domestic partner and dependent accidental death and dismemberment, short- and long-term disability, long-term care, business travel accident, disability and legal. FINRA offers immediate participation and vesting in a 401(k) plan with company match and eligibility for participation in an additional FINRA-funded retirement contribution, tuition reimbursement, commuter benefits, and other benefits that support employee wellness, such as adoption assistance, backup family care, surrogacy benefits, employee assistance, and wellness programs. Time Off and Paid Leave* FINRA encourages its employees to focus on their health and wellness in many ways, including through a generous time-off program of 15 days of paid time off, 5 personal days and 9 sick days, unless otherwise required by law (all pro-rated in the first year). Additionally, we are proud to support our communities by providing two volunteer service days (based on full-time schedule). Other paid leave includes military leave, jury duty leave, bereavement leave, voting and election official leave for federal, state or local primary and general elections, care of a family member leave (available after 90 days of employment); and childbirth and parental leave (available after 90 days of employment). Full-time employees receive nine paid holidays. Based on full-time schedule Important Information FINRA's Code of Conduct imposes restrictions on employees' investments and requires financial disclosures that are uniquely related to our role as a securities regulator. FINRA employees are required to disclose to FINRA all brokerage accounts that they maintain, and those in which they control trading or have a financial interest (including any trust account of which they are a trustee or beneficiary and all accounts of a spouse, domestic partner or minor child who lives with the employee) and to authorize their broker-dealers to provide FINRA with duplicate statements for all of those accounts. All of those accounts are subject to the Code's investment and securities account restrictions, and new employees must comply with those investment restrictions-including disposing of any security issued by a company on FINRA's Prohibited Company List or obtaining a written waiver from their Executive Vice President-by the date they begin employment with FINRA. Employees may only maintain securities accounts that must be disclosed to FINRA at one or more securities firms that provide an electronic feed (e-feed) of data to FINRA, and must move securities accounts from other securities firms to a firm that provides an e-feed within three months of beginning employment. You can read more about these restrictions here. As standard practice, employees must also execute FINRA's Employee Confidentiality and Invention Assignment Agreement without qualification or modification and comply with the company's policy on nepotism. Search Firm Representatives Please be advised that FINRA is not seeking assistance or accepting unsolicited resumes from search firms for this employment opportunity. Regardless of past practice, a valid written agreement and task order must be in place before any resumes are submitted to FINRA. All resumes submitted by search firms to any employee at FINRA without a valid written agreement and task order in place will be deemed the sole property of FINRA and no fee will be paid in the event that person is hired by FINRA. FINRA strives to make our career site accessible to all users. If you need a disability-related accommodation for completing the application process, please contact FINRA's Employee Relations team at 240.386.4865 or by email at EmployeeRelations@finra.org. Please note that this process is exclusively for inquiries regarding application accommodations. All qualified applicants will receive consideration for employment without regard to age, citizenship status, color, disability, marital status, national origin, race, religion, sex, veteran status or any other classification protected by federal, state, or local laws. FINRA abides by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities. FINRA abides by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified protected veterans. 2025 FINRA. All rights reserved. FINRA is a registered trademark of the Financial Industry Regulatory Authority, Inc.

Posted 30+ days ago

Data Verification Analyst-logo
Data Verification Analyst
CorvelDallas, TX
The Data Verification Specialist is responsible for all bill review clerical functions, including mail, prepping and scanning medical bills, data entry, data verification and assisting with various phone and email tasks to support the bill review department. This is a hybrid position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: Responsible for validation of incoming data to the Bill Review system Responsible for identifying and applying customer-specific rules and processes Requires continual and consistent communication with supervisor regarding status of Data Verification queues and workload Assist the bill review department with all clerical duties as assigned Comply with all safety rules and regulations during work hours in conjunction with the Injury and Illness Prevention Program ("IIPP") Additional duties as required KNOWLEDGE & SKILLS: Ability to work on several concurrent tasks and prioritize workload with minimal direction Ability to identify, analyze and solve problems Basic computer proficiency, including familiarity with Microsoft applications Strong interpersonal, time management and organizational skills Ability to work both independently and within a team environment EDUCATION & EXPERIENCE: High school diploma or equivalent Experience in a professional office environment preferred PAY RANGE: CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time. For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process. Pay Range: $13.08 - $22.89 per hour A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first. ABOUT CORVEL: CorVel, a certified Great Place to Work Company, is a national provider of industry-leading risk management solutions for the workers' compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!). A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off. CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable. #LI-Hybrid

Posted 30+ days ago

Data Lead-logo
Data Lead
Marsh & McLennan Companies, Inc.Houston, TX
Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Data Lead at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As the Data Lead, you will be at the forefront of our data strategy, responsible for overseeing the collection, management, and analysis of data across MMA. In this role, you will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. You will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Your leadership will be crucial in guiding your team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering your team, you will foster a culture of data-driven decision-making and continuous improvement. Staying abreast of emerging technologies and industry trends, you will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Our future colleague. We'd love to meet you if your professional track record includes these skills: Leadership Experience: Proven experience leading data management and analytics teams, with a focus on delivering high-quality insights and solutions that drive business impact. Enterprise Data Understanding: High-level understanding of enterprise data needs, along with a general knowledge of data architecture to facilitate collaboration with IT. Data Governance Expertise: Strong knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and data integrity. Analytical Tools Proficiency: Experience with data analytics tools and programming languages (e.g., SQL, Python, R), as well as familiarity with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Stakeholder Collaboration: Ability to collaborate with both technical and non-technical stakeholders, effectively communicating complex data concepts and analytical findings in a clear and actionable manner. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Problem-Solving Skills: Strong problem-solving skills, with a proven track record of identifying and resolving complex data challenges to enhance operational efficiency. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. Continuous Improvement Mindset: A commitment to fostering a culture of continuous improvement and data-driven decision-making within the organization, encouraging team members to innovate and refine processes. These additional qualifications are a plus, but not required to apply: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Master's degree preferred. 15+ years of experience in data management, analytics, or a related field, with a focus on leadership roles. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: June 16, 2025

Posted 5 days ago

Software Engineer, Data-logo
Software Engineer, Data
Mistral AIParis, TX
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers . Role Summary We are seeking passionate and skilled software engineers to join our team. In this role, you will have the unique opportunity to design, build, and maintain our data infrastructure, ensuring that our data is accurate, accessible, and secure. You will work with large volumes of data, enabling both science and business teams to access secure and reliable data quickly. Your contributions will support our science team in enhancing the quality of our state-of-the-art AI models and assist business users in making informed decisions. What you will do Product Development: design, develop, and maintain scalable data pipelines and ETL processes. System Architecture: design and implement efficient, secure, and scalable backend architectures that support our product goals. Code Quality: write clean, maintainable, and well-documented code, and participate in code reviews to uphold our high standards of quality. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions. Support our AI scientists to help them access data to improve our Large language models accuracy and performance. Contribute to the development of data governance policies and procedures. Problem-Solving: Ensure data integrity, quality, and security across all data platforms. Develop and implement data warehousing and data lake solutions. Optimize data queries and improve data processing performance. Monitor and troubleshoot data-related issues and incidents. Innovation: stay up-to-date with the latest data engineering technologies and best practices. About you 5+ years of relevant professional work experience as a Software Engineer with a strong focus on Data engineering work Master's degree in Computer Science, Engineering, or a related field. Proficient in Python, SQL and experience with big data technologies (e.g., Hadoop, Spark, Hive). Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Experience with real-time data processing and streaming platforms (e.g., Kafka, Flink). Experience with large-scale distributed systems. Knowledge of databases, caching mechanisms and messaging systems. Strong problem-solving abilities and attention to detail. Ownership and capacity to ship products end-to-end. Excellent communication skills. Low ego and team spirit mindset. Autonomous and self-starter. Hiring Process Introduction call- 45 min Hiring Manager interview- 30 min Live-coding interview (Python)- 45 min System Design interview- 45 min Culture-fit discussion- 30 min Reference checks Location We do not require you to be based in a specific location as long as it is in one of the countries listed in this job posting. However, you will be expected to be available for a monthly visit to one of our offices: If based in France, Germany or Spain: we will ask you to come to our Paris office 3 days per month If based in the UK: we will ask you to come to our London office 3 days per month We will cover 100% of inter-country travelling and 50% of intra-country travelling fees Besides, please note that we ask all new hires to come to our Paris HQ for the first month of their onboarding (accommodation and travelling covered). What we offer Competitive cash salary and equity ️ Health insurance * Transportation allowance Sport allowance Meal vouchers Private pension plan Parental : Generous parental leave policy Visa sponsorship currently not available for Germany available for France only Location We do not require you to be based in a specific location as long as it is in one of the countries listed in this job posting. However, you will be expected to be available for a monthly visit to one of our offices: If based in France, Germany or Spain: we will ask you to come to our Paris office 3 days per month If based in the UK: we will ask you to come to our London office 3 days per month We will cover 100% of inter-country travelling and 50% of intra-country travelling fees Besides, please note that we ask all new hires to come to our Paris HQ for the first month of their onboarding (accommodation and travelling covered). What we offer Competitive cash salary and equity ️ Health insurance * Transportation allowance Sport allowance Meal vouchers Private pension plan Parental : Generous parental leave policy Visa sponsorship currently not available for Germany available for France only

Posted 30+ days ago

Adjunct Instructor In Data Communication In Biotechnology (Capstone)-logo
Adjunct Instructor In Data Communication In Biotechnology (Capstone)
Brandeis UniversityWaltham, MA
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online. Course Title: Data Communication in Biotechnology (Capstone) This capstone course provides students with the skills and tools needed to effectively communicate scientific and business-related data to diverse audiences. Emphasis is placed on storytelling with data, visualizations, scientific writing, executive summaries, and presentation skills. Students will synthesize knowledge gained throughout the program to produce and present a comprehensive data communication project. The course prepares students for real-world biotech communication scenarios including investor briefings, regulatory submissions, and internal team reports. Qualifications Qualified candidates will have Subject Matter Qualifications in the following areas. Required: Current employment or recent experience in the biotechnology, pharma, or data science sector Ph.D., M.B.A. or M.S. Experience presenting scientific or technical data to internal or external stakeholders Expertise in communication strategies and data visualization techniques Preferred: Prior experience teaching, coaching, or mentoring scientific professionals Familiarity with online learning platforms and digital presentation tools General Responsibilities Guide students through a structured capstone communication project Deliver feedback that strengthens students' storytelling, structure, and visuals Lead group workshops and encourage collaboration and professional growth Maintain the course site and facilitate timely student engagement Mentor students through development of capstone communication projects tailored to industry or academic audiences. Facilitate peer review and iterative feedback to refine writing, visuals, and delivery techniques. General Skill Requirements Strong interpersonal and written communication skills Excellent organizational and mentoring capabilities Ability to teach storytelling with data and translate technical content for both scientific and non-scientific stakeholders. About the Master of Science in Applied Biotechnology & Enterprise This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications. All GPS courses are 8-weeks long and taught asynchronously online. About GPS Faculty GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training. Application Process: Interested candidates should submit: A cover letter highlighting relevant qualifications and teaching experience. A current CV or resume. Contact information for three professional references. (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation. This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class")

Posted 30+ days ago

Data Lead-logo
Data Lead
Clark InsuranceEastland, TX
Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Data Lead at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As the Data Lead, you will be at the forefront of our data strategy, responsible for overseeing the collection, management, and analysis of data across MMA. In this role, you will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. You will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Your leadership will be crucial in guiding your team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering your team, you will foster a culture of data-driven decision-making and continuous improvement. Staying abreast of emerging technologies and industry trends, you will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Our future colleague. We'd love to meet you if your professional track record includes these skills: Leadership Experience: Proven experience leading data management and analytics teams, with a focus on delivering high-quality insights and solutions that drive business impact. Enterprise Data Understanding: High-level understanding of enterprise data needs, along with a general knowledge of data architecture to facilitate collaboration with IT. Data Governance Expertise: Strong knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and data integrity. Analytical Tools Proficiency: Experience with data analytics tools and programming languages (e.g., SQL, Python, R), as well as familiarity with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Stakeholder Collaboration: Ability to collaborate with both technical and non-technical stakeholders, effectively communicating complex data concepts and analytical findings in a clear and actionable manner. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Problem-Solving Skills: Strong problem-solving skills, with a proven track record of identifying and resolving complex data challenges to enhance operational efficiency. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. Continuous Improvement Mindset: A commitment to fostering a culture of continuous improvement and data-driven decision-making within the organization, encouraging team members to innovate and refine processes. These additional qualifications are a plus, but not required to apply: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Master's degree preferred. 15+ years of experience in data management, analytics, or a related field, with a focus on leadership roles. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: June 16, 2025

Posted 3 days ago

Brex Inc. logo
Senior Data Scientist, Finance
Brex Inc.San Francisco, CA
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Job Description

Why join us

Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises - including DoorDash, Flexport, and Compass - use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You'll Do

Working closely with Finance leadership, you'll develop a financial forecasting system using advanced data science techniques. You'll analyze key business drivers to inform strategic financial decisions and enhance forecast precision. The ideal candidate has expertise in predictive modeling, causal inference, and experience collaborating with Corporate and Strategic Finance teams, particularly in forecasting within a blended revenue model that includes both recurring and consumption-based components.

Where you'll work

This role will be based in our San Francisco office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year.

Responsibilities:

  • Design and build a new top-line revenue and other financial forecasts using predictive modeling and other advanced data science techniques. 
  • Collaborate with Finance to integrate predictive insights into existing forecasting processes and refine key assumptions.
  • Partner with Finance to analyze financial performance and uncover key drivers using causal inference, anomaly detection, and exploratory data analysis.
  • Design and implement scalable data pipelines to support financial reporting and forecasting in collaboration with Data Engineering.
  • Mentor junior data scientists and finance analysts to foster a culture of data-driven decision-making.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences.

Requirements:

  • Master's degree or Ph.D. in Finance, Statistics, Economics or a related quantitative field.
  • 5+ years of experience in a data science or related role supporting finance teams.
  • Expertise in predictive modeling, causal inference, and time series forecasting.
  • Knowledge of structural finance models, financial planning and analysis (FP&A) workflows and reporting, plus experience working with key performance indicators like LTV, CAC, and ARR.
  • Proficiency in SQL and Python (or R) for data analysis and modeling.
  • Ability to translate complex analyses into strategic recommendations for Finance and business leadership.
  • Familiarity with BI tools (e.g., Tableau, Looker) and financial data sources.
  • Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
  • Strong communication skills, with the ability to work cross-functionally.

Bonus Points:

  • Experience building and maintaining financial forecasting models with a high degree of accuracy.
  • Experience working in businesses with blended revenue models that include both recurring and consumption-based components.

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.