Auto-apply to these data science jobs

This role is with Amway. Amway uses RippleMatch to find top talent. What’s special about this team: The Data, Analytics, and Insights team is responsible for helping the organization make data-informed strategic decisions and measure the outcomes of those decisions. This team partners closely with stakeholders across Sales, Marketing, and Finance, as well as market analytics teams worldwide, to better understand their business questions and help them find answers. This collaborative team provides the Enterprise with Macro Sales Forecasts, handles the development of strategic KPIs, and analyzes the impact of company strategies on sales performance. Additionally, they provide data analytics and insights on our Sales-oriented initiatives and product/Program portfolio. As an Intern on the DA&I Team, you will collaborate with partners across the organization to gather, analyze, and interpret data to generate insights that will inform decisions around investments and enterprise sales growth. How would an intern contribute to the team’s success: This position will offer the opportunity to tackle a project with a lasting impact, whether that involves analyzing key strategic initiatives and their impact on sales growth or enhancing our operational excellence as a team. An example of a typical project would be: Projects focus on using data to answer strategic business questions, enhance the accuracy of sales forecasts, or conduct impact assessments on key growth initiatives. This role would collaborate with our broader Data and Analytics team and key business partners as part of the analytical process. Exposure to analytical technologies/tools (such as Google Cloud, Tableau, and Python) will also occur. Required skills and background: Quantitative analysis skills, with the ability to research and synthesize information into meaningful interpretations. Strong written and verbal communication skills. Masters or equivalent experience Desired Major: Math, Statistics, Business, Finance Desired Class Year: Master's or PhD Desired Skills: Quantitative analysis skills, with the ability to research and synthesize information into meaningful interpretations. Ability to prioritize and manage deliverables with competing deadlines. Natural curiosity, desire to explore deeper answers to key questions. Experience working with SQL or Tableau is preferred. Amway does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Amway immigration sponsorship (e.g., H-1B, STEM OPT, TN, etc.) now or in the future.

About Sands Capital: We are an active, long-term investor in leading innovative businesses globally. Our approach combines analytical rigor and creative thinking to identify high-quality growth businesses that are creating the future. Through an integrated investment platform spanning venture capital, growth equity and public equity, we provide growth capital solutions to institutions and fund sponsors in more than 40 countries (detailed on our website www.sandscapital.com ). About the Data & Analytics Intern Role: Sands Capital is seeking a motivated Data and Analytics Intern who aspires to become a data professional and who is interested in gaining practical experience in data governance, data quality, and analytics. The person in this role will have the opportunity to explore the role of data as an enterprise asset and apply governance practices to build a business-aligned, KPI-driven data visualization along with a practical emphasis on AI readiness, governance, and ethical deployment of AI-enabled insights. Work Expectations: This is a part-time internship role expected to work in-person from Sands Capital’s office headquarters in Arlington, VA for up to 17 hours per week on Tuesdays, Wednesdays, and/or Thursdays. Position Responsibilities: Exploring the lifecycle of data from ingestion to insight within a governed framework. Building a governed Power BI visualization targeting a real Sands Capital KPI. Performing other position responsibilities, as needed; and Exhibiting behaviors consistent with Sands Capital’s Mission, Values, and culture. Position Qualifications: 2 nd , 3 rd , or 4 th year undergraduate students interested in exploring a career in data and analytics. Familiarity with core principles of data governance, data quality, and metadata. Familiarity with Microsoft Excel, Power BI, Power Automate, Atlan, Git, DBT, Snowflake, OpenAI, and Python. Required Behavioral Characteristics: The following are behavioral characteristics that the firm holds in high regard and believes are critical for high performing individuals and teams at Sands Capital: Having impeccable integrity. Exhibiting superior client service skills (both internally and externally). Exhibiting strong interpersonal skills. Demonstrating a strong work ethic in a fast-paced, professional environment. Operating with a high degree of initiative, self-discipline, and motivation. Being able to collaborate and work effectively as part of a team, while also being able to work independently with a high degree of efficiency and accuracy. Assuming the best of others. Being motivated by a job well-done. Sands Capital’s Values: The following are values that the firm holds in high regard and believes are critical for high-performing individuals and teams at Sands Capital: Integrity & Trust: Do what is right, not what is popular. Deliver on commitments. Client-Centered: Always act in the best interest of our clients. Commitment to Excellence: Strive to learn and improve. Implement best practices. Focus: Identify and concentrate on “what matters.” Long-Term Perspective: Appreciate that time allows sound decisions to demonstrate their worth. Avoid short-term thinking. Independent Thinking: Have the courage to develop and articulate your own convictions. Debate others openly and honestly. Teamwork: Collaborate to gather facts, develop perspective, build conviction, and support timely decision-making. Positive “Can-Do” Attitude: Demonstrate a willingness to tackle any task. Graciousness: Reflect kindness and courtesy at all times. Balance: Enjoy your work while balancing professional activities with interests beyond the firm. Meritocracy: Know that talent and achievement will drive your success at Sands Capital. How to Apply: To be considered, you must submit a resume that specifically outlines your qualifications for the position. If you wish to apply for this position, please do so via Sands Capital’s Careers page under “Professional Opportunities”. You may also scroll to “Hiring Process FAQs” to learn more about what you can expect before applying, to include information regarding length of process and any skills assessments that may be required. Apply here: https://www.sandscapital.com/careers-and-staff-benefits/ Salary and Benefits: Sands Capital offers competitive compensation. For this role, the hourly rate ranges from $25 - $35/hour and will be determined by the candidate’s grade level as well as relevant experience, knowledge, skills, and abilities. Sands Capital may also offer generous benefits for interns who meet the relevant eligibility criteria as determined by Sands Capital’s benefit plan documents. Sands Capital is proud to be an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and staff members. For our staff members, equal opportunity includes access to the benefits and privileges that the firm provides to staff members generally. We appreciate the value diversity brings to Sands Capital and are committed to creating an inclusive environment for all staff members. We evaluate and select qualified applicants without regard to race, color, national origin, age, religion, disability status, gender, sexual orientation, gender identity, genetic information, marital status, veteran status, or any other characteristics protected by applicable federal, state, or local laws. Discrimination of this kind is also strictly prohibited by a variety of federal, state, and local laws, including Title VII of the Civil Rights Act 1964, the Age Discrimination in Employment Act of 1967, and the Americans with Disabilities Act of 1990. Read more about equal employment opportunity on the EEOC’s website, found here . We are committed to working with and providing reasonable accommodations to pregnant individuals, individuals with disabilities, and/or individuals needing accommodation for sincerely held religious beliefs. If you need a reasonable accommodation, please send an e-mail to emiller@sandscap.com and let us know the nature of your request and your contact information.

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft ( https://TeamRaft.com ) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. We’re looking for a Data Engineer to support our customers and join our passionate team of high-impact problem solvers. About the role: Data Engineers on our Distributed Systems team are focused on building data platforms that make it easy for different types of user personas to access data from a central control plane. This includes building backend services, connecting OSS projects in a repeatable and performant way, and extending feature sets. Experience involving data engineering and all things data. Utilizing new tools like DuckDB, Apache Pinot, Apache Superset, and others. As the Staff Data Engineer you will be working closely with Technical SMEs on the government stakeholders to build, configure, and deploy the next generation of data platform for mission-critical needs. Required Qualifications: 2+ years of backend development experience with at least one language like Java, Go, or Python Basic understanding of or exposure to data streaming concepts (Kafka experience preferred but not required) Willingness to learn about government datasets and data transformation processes Strong problem-solving skills and ability to break down complex problems into smaller tasks Interest in staying current with data engineering trends and technologies Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) Strong communication skills and ability to work collaboratively in a team environment Highly preferred: Internship or coursework experience with data processing or ETL concepts Exposure to cloud platforms (AWS, Azure, GCP) Past use of SQL skills and understanding of database concepts Experience with version control (Git) and basic DevOps practices Previous internship or project work involving data analysis or engineering Interest in or exposure to open source technologies Clearance Requirements: Active Secret security clearance with ability to obtain and maintain TS SCI Work Type: Onsite at Hickam AFB, HI May require up to 25% travel Salary Range : $100,000 - $140,000 The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities What we will offer you: Highly competitive salary Fully covered healthcare, dental, and vision coverage 401(k) and company match Take as you need PTO + 11 paid holidays Education & training benefits Generous Referral Bonuses And More! Our Vision Statement: We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft’s core philosophy is Ubuntu: I Am, Because We are . We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Dark Wolf Solutions  is seeking a highly motivated and experienced  Data Engineer to assist with strategic planning and oversee implementation of the cloud-based data environment. The work includes engaging regularly with data scientists, analysts, and managers. This role is located in Chantilly, VA. Responsibilities: Providing comprehensive support to analysts by delivering large datasets, methodologies, and impactful data visualizations to address critical intelligence needs. Aiding in the development and maintenance of a robust cloud-based data environment for efficient data transport, storage, ETL processes, and solution dissemination. Assisting in data engineering, cloud architecture design, and application development efforts, contributing to the overall success of projects. Engaging regularly with data scientists, analysts, and managers.  Assisting with strategic planning and oversee implementation of the cloud-based data environment, to include mapping of data sources and access controls. Developing code, data models, and documentation to standards; providing systems administration and programming support for ETL processes and data infrastructure efforts; and training and conducting knowledge transfer to team members on issues and technologies related to the ETL process, on premise high capacity compute cluster, and administrative duties.  Coordinating with external data and platform providers to ensure the smooth functioning of the systems and data flows, and to accomplish any needed changes and coordinate with experts to assist with technical aspects required to acquire new datasets or data management technologies for inclusion in the environment. Supporting the cross-domain transfer and integration of data. Assisting with strategic planning and oversee implementation of the cloud-based data environment, to include mapping of data sources and access controls. Developing code, data models, and documentation to standards. Providing systems administration and programming support for ETL processes and data infrastructure efforts. Training and conducting knowledge transfer to team members on issues and technologies related to the ETL process, on premise high capacity compute cluster, and administrative duties. Coordinating with external data and platform providers to ensure the smooth functioning of the systems and data flows, and to accomplish any needed changes. Coordinating with experts to assist with technical aspects required to acquire new datasets or data management technologies for inclusion in the environment. Supporting the cross-domain transfer and integration of data, to include using on-premises cluster, cloud environment, and SQL-based systems such as PostgreSQL and Impala. Required Qualifications: Effectively facilitates communication and collaboration as a technical liaison between system engineers, data engineers, data scientists, analysts, and non-technical managers/personnel. Proficient in utilizing AWS cloud services, including long-term storage solutions and cloud-based database services like Databricks and Elastic MapReduce (EMR). Experienced in designing and implementing SQL database structures and mappings between databases. Knowledgeable in network-attached storage (NAS) systems and their implementation. Skilled in creating and maintaining automated deployment scripts for streamlined software releases. Expert in managing and executing large-scale data migration projects, ensuring data integrity and minimal disruption. Hands-on experience with large-scale data compute and processing clusters such as Hadoop, optimizing performance and scalability. Adept at test-driven development within a secure on-premise cluster, selecting and employing the most efficient languages for the task, including Apache NiFi, Java, Python, and SQL. In-depth understanding of database architecture and performance design methodologies, providing system-tuning recommendations for technologies like Hadoop Hive, Apache NiFi, and Impala. Continuously improves and maintains the ETL process through the implementation and standardization of data flows using Apache NiFi and other ETL tools. US Citizen with an active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance with polygraph. Desired Qualifications: Possesses in-depth knowledge of the data environment and on-premises compute infrastructure. Proficient in storage and backup recovery systems, ensuring data availability and integrity. Experienced with Data Quality and Data Governance concepts, implementing best practices for data management. Skilled in System Administration and Linux Administration, maintaining system stability and performance. Adept at transforming data using High Capacity Compute (HCC) techniques to derive valuable insights. Experienced in administering system rights and responsibilities for the on-premises cluster and cloud infrastructure, ensuring secure access and resource allocation. This position is located in Chantilly, VA.   The estimated salary range for this position is $170,000.00 - $210,000.00, commensurate on Clearance, technical skillset and overall experience.    We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Principal Software Engineer, Data Persistence Location:  New York, NY Are you a systems-minded engineer obsessed with consistency, availability, and durability at scale? Do you enjoy working deep in the stack to build resilient, multi-tenant infrastructure that supports real-time mission-critical workloads? Are you excited to contribute to distributed systems that are performant, reliable, and secure—especially when it matters most? If so, we invite you to be a part of our innovative team. As a Principal Software Engineer on Ridgeline’s Data Persistence team, you will design, build, and evolve the core systems that underpin our data platform—ensuring reliability, performance, and elasticity across a complex, multi-region architecture. You’ll lead major architectural decisions, optimize distributed storage systems, and ensure compliance with strict regulatory standards like SEC and SOC2. This is a high-impact role on a small, specialized team where your work directly enables critical business operations for investment managers. You’ll leverage cutting-edge technologies—including AI-powered tools like GitHub Copilot and ChatGPT—to accelerate development and drive high-quality outcomes at scale. You must be work authorized in the United States without the need for employer sponsorship.   What will you do? Design and evolve our distributed database architecture, including storage engines, query layers, and consistency models. Evaluate and optimize write/read paths, indexing strategies, replication mechanisms, and failover recovery techniques. Lead the strategic roadmap for how we scale our multi-tenant, microservice-based architecture while ensuring strong guarantees (consistency, availability, durability). Partner with product, SRE, and platform teams to shape the future of our persistence, observability, and data access patterns. Optimize database infrastructure for cost-efficiency, balancing performance and scalability to improve platform margins at scale. Mentor senior engineers and serve as a thought leader across the organization. Desired Skills and Experience 15+ years of experience in software engineering with a strong focus on database systems. Have authored or deeply contributed to high-performance distributed systems, databases, or storage engines. Possess deep fluency in CAP theorem tradeoffs, Raft/Paxos, LSM vs B-Tree internals, compaction strategies, and query execution plans. Have production experience scaling systems that handle TBs–PBs of data across multiple regions or data centers. Are comfortable navigating between practical tradeoffs and theoretical foundations in your technical decision-making. Can clearly articulate complex systems to diverse audiences and influence engineering direction across orgs. Strong hands-on experience with AWS cloud-native architectures, including services like Aurora Global Database, S3, Route53, and lambda. Strong experience with database observability tools like Dataddog DBM or equivalent. Proficiency in at least one programming language (Kotlin, Java, Python, TypeScript).  Nice to Have Contributions to open-source database technologies (e.g., PostgreSQL, ClickHouse, RocksDB). Experience with hybrid transactional/analytical processing (HTAP) systems or stream processing architectures. Familiarity with emerging trends like vector databases, CRDTs, or columnar storage engines. Author, speaker, or deep contributor to technical books, blogs, or conference talks.   About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded in 2017 by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to address the unique technology challenges of an industry in need of new thinking. We are building a modern platform in the public cloud, purpose-built for the investment management industry to empower business like never before.  Headquartered in Lake Tahoe with offices in Reno, Manhattan, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by LinkedIn as a “Top U.S. Startup,” and by The Software Report as a “Top 100 Software Company.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement . Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits    The typical starting salary range for new hires in this role is targeted at $255,000 - $300,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.  As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product.  In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our  Careers page for a more comprehensive overview of our perks and benefits.   #LI-Hybrid  

Staff Software Engineer, Custodian Data Location:  Reno, NV, San Ramon, CA Do you have a passion for finance & investing? Are you interested in modeling the industry’s data and making it highly available? Are you a technical leader who enjoys refining both technology performance and team collaboration?  If so, we invite you to join our innovative team. As a Ridgeline Staff Software Engineer on our Custodian Data team, you’ll have the unique opportunity to build an industry-defining, fast, scalable custodian engine with full asset class support and global market coverage. You will be relied on for your technical leadership to help the team evolve our architecture, scale to meet our growth opportunity and exemplify software engineering best practices. Our team of engineers are building with cutting-edge technologies—including AI tools like GitHub Copilot and ChatGPT- in a fast-moving, creative, progressive work environment. You’ll be encouraged to think outside the box, bringing your own vision, passion, and insights to drive advancements that impact both our team and the industry. Our team is committed to creating a lasting impact on the investment management industry, leveraging AI and leading development practices to bring transformative change. You must be work authorized in the United States without the need for employer sponsorship. What you will do? Contribute domain knowledge, design skills, and technical expertise to a team where design, product, and engineering collaborate closely Be involved in the entire software development process, from requirements and design reviews to shipping code and observing how it lands with our customers. Impact a developing tech stack based on AWS back-end services Participate in the creation and construction of developer-based automation that leads to scalable, high-quality applications customers will depend on to run their businesses Coach, mentor, and inspire teams of product engineers who are responsible for delivering high-performing, secure enterprise applications Think creatively, own problems, seek solutions, and communicate clearly along the way Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency Desired Skills and Experience 8+ years in a software engineering position with a history of architecting and designing new products and technologies Experience building cloud-native applications on AWS/Azure/Google Cloud A degree in Computer Science, Information Science, or a related discipline Extensive experience in Java or Kotlin Experience with API and Event design Background in high-availability systems Experience with L2, and L3 Support and participation in on-call rotation.  Experience with production instrumentation, observability, and performance monitoring Willingness to learn about new technologies while simultaneously developing expertise in a business domain/problem space Understand the value of automated tests at all levels  Ability to focus on short-term deliverables while maintaining a big-picture long-term perspective Serious interest in having fun at work Bonus : 3+ years of experience engineering in Data Pipeline, Reconciliation,  Market Data, or other Fintech applications Understanding of AWS services and infrastructure Experience with Docker or containerization Experience with agile development methodologies Experience with React Experience with caching Experience with data modeling Experience leading difficult technical projects that take multiple people and teams to complete Ability to handle multiple projects and prioritize effectively Excellent communication skills, both written and verbal Willingness to learn about cutting-edge technologies while cultivating expertise in a business domain/problem space An aptitude for problem-solving Ability to amplify the ideas of others Responsibility for delivering an excellent project that extends beyond coding Ability to adapt to a fast-paced and changing environment Compensation and Benefits  The typical starting salary range for new hires in this role is $174,000 - $220,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.  As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product.  In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our  Careers page for a more comprehensive overview of our perks and benefits. About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded in 2017 by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to address the unique technology challenges of an industry in need of new thinking. We are building a modern platform in the public cloud, purpose-built for the investment management industry to empower businesses like never before.  Headquartered in Lake Tahoe with offices in Reno, Manhattan, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by LinkedIn as a “Top U.S. Startup,” and by The Software Report as a “Top 100 Software Company.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement . Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions.  

About AccuWeather AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. Billions of people around the world rely on AccuWeather’s proven Superior Accuracy™ across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW® reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast’s Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee. AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally. Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Myers, a leading creative thinker and visionary, has been called “the most accurate man in weather” by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur’s Encyclopedia of Entrepreneurs. . Position Summary In this role as a Data Engineer II , you will directly impact AccuWeather’s continued focus on innovation and generating superior weather products. You will play a critical role in building and maintaining our data infrastructure, enabling efficient data processing, analysis, and reporting. You will work closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure our data pipelines and platforms' availability, reliability, and performance. Your expertise in Databricks will be essential in optimizing data workflows, ensuring data quality, and contributing to the continuous improvement of our data engineering practices. We are open to hiring candidates to work from our global headquarters in State College, PA, USA, or remotely. Key Responsibilities Develop Data Pipelines: Design, develop, and maintain scalable and moderately complex data pipelines using Databricks, Spark, and related technologies. Data Processing Optimization: Optimize data workflows to build performant, reliable, and efficient data solutions. Collaboration Excellence: Contribute positively to a highly collaborative work environment by working closely with cross-functional teams, including data scientists, analysts, and software engineers. In this role, you’ll be responsible for understanding requirements and implementing robust solutions that meet their needs. Additionally, you’ll collaborate with other data engineers to ensure the smooth deployment and operation of data solutions. Monitoring and Troubleshooting: Monitor, troubleshoot, and resolve issues related to data pipelines and platform performance. Implement Best Practices: Implement best practices for data modeling, ETL processes, and data ingestion, and enhance data engineering practices. Stay current with industry trends and advancements in data engineering, Databricks, and related technologies. Documentation: Create and maintain detailed documentation of data solutions for knowledge sharing and future reference. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 2-4 years of experience as a Data Engineer, with a strong focus on Databricks, Spark, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Expertise in designing, developing, and optimizing complex ETL processes and data pipelines. Proficiency in programming languages like Python, Scala, or Java. Solid understanding of data modeling, data warehousing, and data integration concepts. Familiarity with DevOps practices and tools for CI/CD and infrastructure automation. Strong problem-solving skills and ability to troubleshoot and resolve complex technical issues. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams. Experience with big data technologies, real-time data processing, and machine learning pipelines is a plus. Familiarity with weather data is a plus Relevant certifications in Databricks, Spark, or cloud platforms are a strong advantage. Why Join Us Are you passionate about working with data? Are you eager to solve challenging problems and deliver innovative solutions? Do you enjoy using the latest technology in data engineering? Then, we’d love to have you join our team. We are a passionate data team that embraces tackling some of the weather industry’s most challenging problems. Our ideal candidate thrives in a deeply collaborative, innovative, and fast-paced environment where you can transform your passion for data into building meaningful solutions that contribute to our mission of saving lives, protecting property, and helping people and business prosper. Successful candidates will have opportunities to advance their careers and grow as a data engineer. Join us in our journey to shape the future of data engineering and industry innovation. AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEO is the Law poster here and its supplement here . The pay transparency policy is available here . AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.

POSITION SUMMARY The Data Analyst– Forecast Performance & Competitive Insights will play a key role in advancing AccuWeather’s leadership in forecast accuracy as well as project management. This position will support the Forecasting Operations team by comparing AccuWeather forecasts against those of other sources, identifying trends and deviations, and delivering insights that drive operational improvement and business differentiation. They will collaborate with meteorologists, data scientists, and leadership to rigorously evaluate forecast outcomes and support strategic initiatives across the organization. In addition, there will be project management responsibilities at times working toward improving our products and forecasts. This is a Part-time or Internship position. Must be willing to work on Saturday and Sunday, sometimes in the evening, to ensure needed data is captured and properly verified and reported on in a timely manner. There will be times when the candidate is asked to help during the week for vacation or sickness coverage. There is also the possibility that the position grows into opportunities for additional routine hours during the week. KEY RESPONSIBILITIES Collect, normalize, and analyze forecast data from AccuWeather and other sources across various geographies and timeframes. Develop and maintain metrics dashboards and automated reporting that reflect forecast accuracy, bias, timeliness, and reliability. Work with team members and Manager, Forecasting Technology on firm process and tools to complete tasks and report Produce actionable insights that inform continuous improvement of AccuWeather’s operational forecasts. Develop them into Proof of Performance documents that showcase AccuWeather’s Superior Accuracy™ Assist in the design and refinement of forecast evaluation tools, including visualization interfaces and comparative analytics. Support internal and external communication of AccuWeather’s forecast superiority using data-driven evidence. Working with the Sr. Director, Strategic Projects, assist with project management and specification writing on an as-needed basis. Work mainly on weekends but also asked at times to fill in during the week for vacation and sickness situations. QUALIFICATIONS Working towards or have a Bachelor’s degree in Data Science, Meteorology, Statistics, Computer Science, or related field. 2+ years of experience in data analysis, preferably involving large-scale, time-series or geospatial data a plus. Proficiency in Python, R, or SQL; experience with tools like Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Plotly, Tableau). Understanding weather data formats and forecast models is highly desirable. Strong analytical thinking and communication skills—able to translate complex data into actionable insights. Attention to detail and commitment to data integrity and accuracy. Ability to work independently and collaboratively in a fast-paced, mission-driven environment. Ability to multi-task while staying detail oriented Strong communication skills, verbally and in writing, and ability to maintain a style, format, and philosophy as set forth by AccuWeather. ABOUT ACCUWEATHER AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. Billions of people around the world rely on AccuWeather’s proven Superior Accuracy™ across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW® reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast’s Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee. AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally. Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Myers, a leading creative thinker and visionary, has been called “the most accurate man in weather” by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur’s Encyclopedia of Entrepreneurs. COMMITMENT TO DIVERSITY & INCLUSION AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.

The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. How? With a media buying platform that helps brands deliver a more insightful and relevant ad experience for consumers –– and sets a new standard for global reach, accuracy, and transparency. We are proud of the culture we have built. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. So, if you are talented, driven, creative, and eager to join a dynamic, globally-connected team, then we want to talk! What we do: The Data Partnerships team is a high-impact team that focuses on driving one of TTD’s strategic initiatives – Ecosystem partnerships. This team manages partnerships with some of the most dynamic data and technology providers and is responsible for overseeing the approval, integration, and implementation processes.  Our responsibilities are focused on driving both executional and operational excellence through establishing internal processes and external partner relationship management .   The ideal candidate must enjoy an entrepreneurial and rapidly shifting environment.  We are looking for someone who thrives on having a significant impact and supporting highly visible and strategic capabilities through partnerships and innovation.     What you'll do:   Own the end-to-end lifecycle of new ecosystem partnerships, from inquiry to approval and paperwork execution  Build a system to manage the pipeline of new vendor inquiries, synthesizing information about vendors and their use cases that can be used by internal teams.  Partner closely with technical account management to maintain a centralized directory of ecosystem vendors Establish clear processes for vetting new partnerships and rolling out updates to existing vendors  Lead the execution of third-party vendor approvals that power our extensibility ecosystem, ensuring they are aligned with our long-term platform strategy and compliance standards Serve as the primary point of contact for most vendors in the ecosystem, working with leadership to stay on top of new vendor developments  Interface with client teams to understand client demands and vendor data applications    Who you are:   Approximately 1-2 years of experience creating and building differentiated relationships with clients and/or partners   Excellent judgement & acute sense of self-awareness   Highly organized, effective time management skills, ability to prioritize and meet deadlines   Self-motivated problem-solver comfortable navigating complex technical processes and a broad range of client needs and requirements   Proven communication, questioning, and listening skills in formal and informal settings  Ability to build excellent rapport with cross-functional teams (i.e. Client Services, Legal, Technical Account Management, Finance, Product, Strategy, Business Development)   Comfortable with fast-paced, dynamic working environment with shifting priorities   Has a growth-oriented mindset  Excellent problem-solving and analytical skills with an operational mindset  Proficiency in Excel and PowerPoint  Strong verbal and written communications skills  New-York based    The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year.  Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.  The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $64,100 — $117,500 USD As an Equal Opportunity Employer, The Trade Desk is committed to making our job application process accessible to everyone and to providing reasonable accommodations for applicants with disabilities. If you have a disability or medical condition and require an accommodation for any part of the application or hiring process, please contact us at   accommodations@thetradedesk.com You can also contact us using the same email address if you have a disability and need assistance to access our Company website.   When contacting us, please provide your contact information and specify the nature of your accessibility issue.  

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will help design and oversee product experiments, and own complex analysis to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You’ll Make As a Data Scientist on the Notifications team, you will partner with Analytics Engineers to execute CP data foundation roadmaps, collaborate with our cross-functional teams to develop and execute key ecosystem roadmaps, and define/own the ways we measure success and elevate experimentation capabilities of the team. We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, design to develop and deliver metrics, analyses, solutions, and insights. Successful candidates will exhibit technical acumen, product sense and business savviness and be enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility. Your responsibilities will include: Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team Build scalable metrics and dashboards to inform product strategy Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations) Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises Build in-person relationships with team members and contribute to Nextdoor’s company culture What You’ll Bring To The Team 7+ years of data science and product analytics experience BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc. Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python Experience in designing trustworthy experimentation and analyzing complex product a/b testing results Experience identifying, designing, and delivering ergonomic tables to amplify speed + accuracy of key analysis and self-serve reports Experience developing and executing on key ecosystems, understanding roadmaps, and building new capabilities (e.g., customer segment framework) Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives and compile compelling narratives Ability to solve ambiguous business problems with structured analytics framework Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting base salary for this role for San Francisco, CA area is expected to range from $175,000 to $270,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here .

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU'LL DO We’re looking for a Product Manager to join us! This is an exciting opportunity to get in on the ground floor building an advanced ML B2B product which addresses a >$10B pain point for lifecycle marketers. This PM with focus on increasing the quality and quantity of data integrations that allow us to run our models on a variety of platforms and channels.  You will own product strategy, feature prioritization, roadmap and execution for our AI Decisioning Engine. In particular, you will: Engage with our customers directly to learn and gather feedback Develop prioritized feature product roadmaps Own cross-functional execution of the roadmap, working with various stakeholders across UI/UX, Frontend and Backend Engineering, Customer Success and Implementation teams WHO YOU ARE: Builder: you love building products that users love and obsess over the tiniest details to deliver a delightful customer experience Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes Structured and organized: you can structure a plan, align stakeholders, and see it through to execution Clear communicator: you are able to express yourself clearly and persuasively, both in writing and verbally Somewhat technical: you are familiar enough with software to be able to analyze data schema for gaps that need to be bridged Up to 10-15% availability for travel for team offsite workshops, customer meetings, and industry-related events For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $100,800 and $193,050/year with an expected On Target Earnings (OTE) between $112,700 and $214,500/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. #LI-Hybrid WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching  Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. Braze is proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. In 2025, we were recognized as one of Built In’s Best Places to Work. In 2024, we were included in U.S. News & World Report’s Best Companies to Work For (Top 10%) and recognized in Great Place to Work’s Fortune Best Medium Workplaces, Fortune Best Workplaces in Technology, Fortune Best Workplaces for Parents, and Fortune Best Workplaces for Women. Additionally, we were featured in Great Place to Work UK’s Best Workplaces, Best Workplaces in Europe, Best Workplaces for Development, Best Workplaces for Wellbeing, Best Workplaces for Women, and Best Workplaces in Technology. You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, Singapore, São Paulo, Seoul, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you . We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. As a Data Scientist on the Risk Solutions team, you'll be at the forefront of a mission that directly impacts driver and rider safety. We are a team dedicated to using data to build a safer platform for our users. You will partner with product and engineering teams to design and implement experiments, and turn data-driven insights into products that make a tangible difference. If you are passionate about applying your data science skills to solve complex, high-impact problems, this role offers a unique opportunity to directly influence the safety of our community. Responsibilities: Leverage data and analytic frameworks to identify opportunities for growth and efficiency Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action Construct and fit statistical, machine learning, or optimization models Design and analyze online experiments; communicate results and act on launch decisions Develop analytical frameworks to monitor business and product performance Establish metrics that measure the health of our products, the business, as well as the driver experience Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 3+ years of industry experience in a data science, analytics, or management consulting role. End-to-end experience with data, including querying, aggregation, analysis, and visualization Ability to manage, influence, negotiate, and inspire others in a fast-moving environment Proficiency in SQL and Python Strong oral and written communication skills, and ability to collaborate with cross-functional partners Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune and Dubai. The Role A Portfolio Data Consultant (Portfolio Performance Analyst) leads the end-to-end data validation process with clients for data conversion projects. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, outstanding communication skills, and the ability to deliver results in adherence to project deadlines while meeting high-quality standards. They are passionate about understanding our client's needs, taking a hands-on approach to solving problems, working collaboratively with internal teams, and taking ownership of our client's success. Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $80,000 - $100,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. What You’ll Do Lead the data validation process end-to-end with the client and internal projects teams Hold recurring training and working sessions with the clients throughout the data validation project until completion Support clients with researching and identifying portfolio data performance discrepancies and make recommendations on how to best fix the data issues Review, compare, and document system calculation methodologies differences Coordinate across project teams, communicating regular status updates for assigned data projects and while effectively setting expectations Raise key issues to project team members and senior leadership Prioritize and context-switch effectively to complete simultaneous projects, seeing each through to the finish line Identify and drive opportunities to improve current processes, workflows, and tools to increase efficiency and automation Who You Are B.S in Finance, Mathematics, Statistics, Business or Economics 2+ years experience working in Finance and Technology Understands financial markets and has experience with financial products and portfolio data Positive attitude, strong work ethic, proactive and a high contributing teammate Independent, adaptable, and can thrive in a fast-paced environment Excellent communication, organizational, and time-management skills Experience programming in Python language is a plus Our Values  Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value.  Champion Our Clients - Exceed client expectations. Our clients’ success is our success.  Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.  Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.  In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com .

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: As an Analyst or Data Scientist, you will be one of Enova's most valuable team members. You will develop, enhance and test our models for use in determining the appropriate lending criteria and verification procedures. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. Enova's Analytics team consists of over 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value. We are a shared service for the entire company and operate in four core Analytics workgroups. We are language agnostic, but primarily use Python, R, SQL, SAS and Mathematica. That means YOU get to pick the tool that works best for you and the analysis at hand. At Enova we have a company-wide culture that emphasizes data-driven analysis. That means you spend less time presenting and more time with the fun part, crunching data! Requirements: 3+ years of experience in Analytics or related field Advanced programming skills and the ability to write customized programs for meaningful data analysis (Python, R) Experience working with relational databases, such as SQL Knowledge of statistical/econometric modeling A Bachelor's degree in a quantitative field or equivalent experience Compensation: The budgeted annual salary range for this position is   $87,400 to $109,200 . Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . #BI-Hybrid #LI-Hybrid #BI-Hybrid #LI-Hybrd Benefits & Perks: Hybrid roles entail working in-office from Tuesday to Thursday, with the choice to work remotely on Mondays and Fridays Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.   Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here .  It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: We are seeking a talented Senior Data Scientist to join our Portfolio Analytics team. In this role, you will develop, enhance and test our models for use in determining the appropriate lending criteria and verification procedures. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the pricing and credit models that power Enova’s business. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements, and support implementation. Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business. Key responsibilities: Develop and refine proprietary models to assess customer credit profile Design and implement A/B testing frameworks to evaluate the performance of our models, analyzing outcomes to drive continuous improvement Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies Requirements : Degree in Statistics, Mathematics, Economics, Computer Science, or a related field 4+ years of experience in Data Science, Analytics or related field Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python) Experience working with relational databases, such as SQL Excellent knowledge in applied statistical methods and machine learning models Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment Experience in financial services, fintech, or a related industry preferred Compensation: The budgeted annual salary range for this position is$96,000 to $125,000 . Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . Benefits & Perks: Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here . It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

Who is Trace3 ? Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate. Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it! Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.   Ready to discover the possibilities that live in technology?   Come Join Us! Street-Smart   -  Thriving in Dynamic Times We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems. Juice -  The “Stuff” it takes to be a Needle Mover We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like. Teamwork -  Humble, Hungry and Smart We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.   JOB SUMMARY: Trace3 is seeking a highly skilled Data/Business Intelligence Solution Architect to join our Data & Analytics Solutions practice. This senior-level, client-facing role will act as a trusted advisor and technical leader, guiding clients in the design, implementation, and optimization of modern business intelligence and observability solutions. With a deep focus on platforms such as Splunk, IT Service Intelligence (ITSI), and User Experience Monitoring (UEM), you will drive the development of scalable data architectures that support advanced analytics, service performance visibility, and operational intelligence. You will collaborate closely with clients, account teams, and delivery engineers to translate business goals into data-driven solutions that enhance IT operations, digital experience, and decision-making capabilities. This role combines pre-sales expertise with post-sales architecture guidance to ensure consistent, measurable value delivery from concept through execution.   SUMMARY OF ESSENTIAL JOB FUNCTIONS: Partner with Sales and Account Management teams to identify and pursue data-focused client opportunities. Lead client discovery sessions to understand business and operational goals and translate them into data architecture and analytics solutions. Design and architect end-to-end Business Intelligence and IT observability solutions leveraging platforms such as: Splunk (Core, Enterprise Security, and ITSI) User Experience Monitoring tools (e.g., Catchpoint, AppDynamics, Dynatrace) Cloud-native observability and monitoring platforms (e.g., AWS CloudWatch, Azure Monitor, Google Cloud Operations Suite) Support pre-sales initiatives including architectural design sessions, proof-of-concepts, RFP responses, and solution demos. Architect integrations that unify logs, metrics, and traces into centralized observability dashboards and alerting frameworks. Deliver performance analytics, business insights, and data visualizations tailored for IT and business stakeholders. Provide architectural guidance on data ingestion, normalization, correlation, and enrichment strategies. Support clients in implementing KPIs, service health scores, and predictive analytics using platforms such as Splunk ITSI. Ensure alignment between data architectures and broader digital transformation, IT operations, and cloud strategies. Serve as a technical mentor and coach for junior engineers and consultants on the Data & Analytics team.   REQUIRED SKILLS AND EXPERIENCE: Bachelor’s degree from an accredited university or equivalent experience in Computer Science, Engineering, Information Systems, or related field. 8+ years of experience in data architecture, business intelligence, or IT operations analytics, including at least 3 years in a client-facing solution architecture role. Strong expertise in Splunk architecture, including ITSI and Enterprise Security modules. Experience designing observability solutions that incorporate User Experience Monitoring, synthetic testing, and real user monitoring. Strong grasp of event correlation, anomaly detection, and machine learning applications in monitoring environments. Proven ability to translate business requirements into scalable, data-driven architectures. Familiarity with cloud-native data services (AWS, Azure, GCP) and hybrid infrastructure monitoring. Strong presentation and communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Experience working with enterprise clients and navigating complex organizational environments. Excellent time management, organization, and multitasking skills in a fast-paced consulting environment. Passion for emerging technologies and continuous improvement in data observability, automation, and business insight delivery. Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary. Estimated Pay Range $160,000 — $190,000 USD The Perks Comprehensive medical, dental and vision plans for you and your dependents 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability Competitive Compensation Training and development programs Stocked kitchen with snacks and beverages Collaborative and cool culture Work-life balance and generous paid time off   Our Commitment At the core of Trace3's DNA is our people. We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership, character, and passion in all that we do. We’re committed to fostering an inclusive workplace where everyone feels respected, valued, and empowered to grow. We recognize that embracing diversity drives innovation, improves outcomes, fosters collaboration, boosts teammate satisfaction, and builds a more inclusive culture. As an equal opportunity employer, Trace3 bases all employment decisions based on individual qualifications, merit, and business requirements. We do not engage in discrimination on the basis of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or any other characteristic protected by federal, state, or local law. Any demographic information provided is strictly voluntary, kept confidential in accordance with Equal Employment Opportunity (EEO) regulations, and will not be used in employment decisions, including hiring, promotions, or mentorship programs. We are committed to providing equal employment opportunities for all. If you require a reasonable accommodation to complete the application process or participate in an interview, please email  recruiting@trace3.com .   ***To all recruitment agencies:  Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Trace3 employees or any other company location. Trace3 is not responsible for any fees related to unsolicited resumes/CVs.

About Starburst Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role We are seeking a customer-driven Senior Product Manager to lead Starburst’s data governance offerings. Your primary focus will be to deliver product functionality that empowers customers to manage data access through both native and partner solutions. You will collaborate closely with other product managers, engineering, and go-to-market teams to define the product vision, prioritize features, and guide execution. Success in this role means aligning product strategy with business goals, championing the voice of the customer, and driving customer growth by ensuring the product meets security and compliance requirements. As a Senior Product Manager at Starburst you will: Build and deliver on a roadmap that balances the needs of customers and internal teams with clear prioritization based on data driven customer insights. Collaborate with teams globally across multiple time zones and operate in an Agile development environment. Deeply empathize and understand each buyer and user personas. Own cross-functional interactions for your features. Collect and summarize usage data/dashboards for decision making and OKR tracking. Some of the things we look for: 3+ years experience as a Senior Product Manager or Technical Product Manager. Proven ability to create easy to consume user experiences for complex technical products. Deep understanding of the technical landscape and markets preferred (well versed in databases, data warehousing, data lakes, and familiarity with many of the data infrastructure products in industry). Entrepreneurial and self motivated personality with a track record for delivering results in fast-moving environments. Where could this role be based? Remote, US Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive of variable compensation, such as commission or bonus. All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering. Actual compensation packages are determined based on relevant skills, experience, education and training, and specific work location. For more information, connect with the recruiting team or Hiring Manager during the process as they can provide more detailed information about the salary range. Pay Range $197,400 — $233,100 USD Build your career at Starburst All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Remote #BI-Remote

About Starburst Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role Starburst is looking for an experienced Data Engineer to build and enhance internal usage, telemetry, and product data analytics for both Starburst Enterprise and Starburst Galaxy.  This role focuses on using our own software to better understand our customers and how they use our products.  In addition, since data engineers are one of our key target personas, you will be able to provide valuable feedback to our teams as you use the products, in terms of performance, user experience, and integration with the larger data engineering ecosystem.  You’ll work closely with our dynamic, talented, global engineers while emphasizing quality and speed to insights. As a Staff Data Engineer at Starburst you will: Build and manage a high quality data lake to support various aspects of Startburst’s business, including product management, finance, customer support, and engineering. Find innovative ways to use Trino and Starburst to solve data management challenges Collaborate with technical leads, product managers and data analysts to build robust data products and analytics Leverage AI to democratize access to datasets for users throughout Starburst. Enable dataset preparation and model evaluation for Starbursts’ AI projects Define and adapt data engineering processes and best practices to focus on execution and getting reliable answers to important business questions Work closely with leaders from other teams and departments to iterate on both data architecture and design of data solutions, focusing on high-quality results accessible at several levels Envision innovative approaches to data management and work with Starburst’s product teams to bring those innovations to market. Some of the things we look for: At least 7 years of data engineering experience, and a clear passion for data and analytics Enthusiasm for working both independently and collaboratively with strong, diverse, high-performing teams to get value and insights from data Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks. Experience managing data infrastructure in public clouds. Experience using and managing orchestration frameworks such as Apache Airflow or Dagster. Knowledge of RAG and other design patterns for AI applications Fluency in SQL Experience building API integrations for extracting data from third party sources. Excellent coding ability in Java, Python or Scala. Knowledge of data modelling techniques which are appropriate for modern data lakes Experience with a variety of AWS services such as EMR, EC2, S3, and IAM.  Multi-cloud experience (GCP/Azure) is also nice to have. Able to use Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible. Demonstrable experience in delivering value and hitting deadlines consistently Has disciplined software engineering practices, including high code quality, extensive automated testing, and rigorous code review Highly proficient in both written and verbal communication, coupled with strong organizational abilities Where could this role be based? Remote, US  Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive of variable compensation, such as commission or bonus. All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering. Actual compensation packages are determined based on relevant skills, experience, education and training, and specific work location. For more information, connect with the recruiting team or Hiring Manager during the process as they can provide more detailed information about the salary range. Pay Range $227,850 — $278,250 USD Build your career at Starburst All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry –  and the future.  Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more.  We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state  or local laws. #LI-Remote #BI-Remote

About the Position As a Data Coordinator with Curate, you will join a small but mighty team of experts responsible for the identification, verification, and organization of municipal meeting data. You will help ensure our clients stay on top of their most pressing issues at the city and county government level. You will analyze snippets of text extracted directly from agendas and minutes, make quick decisions as to their relevancy to client-oriented concepts, and become knowledgeable in a wide range of subject manners. You are a self-starter and hold yourself accountable; you can work independently alongside your coworkers to parse through a varying daily workload. You are not afraid to think critically about your work and offer suggestions for improvements that benefit the team as a whole. About the Curate Team Curate helps businesses efficiently monitor risk and find opportunities through municipal data - at scale. We scan thousands of local government websites looking for meeting minutes and agendas where decisions are made that impact our business customers. From onboarding to crafting strategic best practices to comprehensive technical support, the team strives to put the clients needs first every day. We are dynamic, hard-working and driven individuals who thrive in an open team structure where there are constant learning opportunities and room for growth. About You You are self-motivated and technically savvy. You can work independently on projects and thrive in autonomous situations. You are also a collaborative partner with other teams and thrive on finding solutions that benefit the group. You want to learn about the tech industry by truly seeing the foundations of how the product functions. The salary for this position is $40,000 - 45,000. #LI-HR1 What To Expect In This Position Review data for accuracy. Classify data according to a specific set of parameters. Work as a team, with customer input, to improve the quality of our data. Document problems in the data and our tools. Share ideas for data and process improvement with the team. Work with cross-functional teams to improve data quality. Participate in regular data audits. Continue to learn new skillsets as you grow within the team. Work mostly during standard Central Time Zone work hours with some flexibility for client needs and workload What Sets You Apart 1 year of data review related work experience is preferred but not required. Comfortable learning and adapting to new software. Excellent problem solving and time management skills. Self-motivated and resourceful. Superior communication skills, including verbal and written communication. Comfortable working as an individual and as part of a close-knit team. Excited about this role, but don't meet 100% of the expected qualifications listed above? We'd still love for you to apply! When applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team @fiscalnote.com, we'd be happy to connect! As part of FiscalNote's commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team @fiscalnote.com to let us know the nature of your request. About FiscalNote FiscalNote (NYSE: NOTE) is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn them into action. Home to CQ, FrontierView, Oxford Analytica, VoterVoice, and many other industry-leading brands, FiscalNote helps organizations stay ahead of political and business risk. At FiscalNote, we Lead with Values Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family FiscalNote is continuing to hire new talent, with all interviewing and on-boarding done virtually due to COVID-19. New team members, along with our current staff, will temporarily work remotely (unless communicated otherwise). Company Benefits FiscalNote supports our people by enabling team members with flexibility and benefits to promote well-being and balance, ensuring all FiscalNoters can bring their authentic selves to work. We start by offering competitive salaries, retirement accounts, and equity packages to ensure we’re all FN owners. Plus, our comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe. Learn more at https://careers.fiscalnote.com/benefits/ . FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer. FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify .