Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

A CAREER WITH POINT72’S MARKET INTELLIGENCE TEAM On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU’LL DO As a sector analyst, you will work with alternative data to gather industry context and business fundamentals. You will then partner with our team of data scientists and engineers to develop analyses that you deliver as synthesized insights to our investment professionals to help aid in their research processes. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. Specifically, you will: Analyze and interpret alternative data from multiple sources and develop subject-matter expertise on the key themes and KPIs that drive the industry and companies within your coverage Produce research for internal consumption by our investment professionals across a variety of mediums, including written research reports, verbal communication, and visualization tools Interact directly with our investment professionals to learn the discretionary investment process from them and help drive more informed investment decisions Collaborate with our proprietary research teams including Data Sourcing, Data Science, and Data Engineering, as well as Compliance, to source, explore, and transform new and existing data assets to produce actionable research for investment professionals WHAT’S REQUIRED   An undergraduate degree or advanced degree with demonstrated academic success One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience Comfort with analyzing novel data and explaining concepts to non-technical partners Basic proficiency with technical coding/programming (SQL, Python)Great organizational skills to handle a demanding workload, creativity, and a strong work ethic An understanding of and passion for how companies, industries, and sectors operate and function Elevated business intuition and an innate ability to structure ambiguous problems and solve them in innovative and creative ways Excellent attention to detail, organization, and project management skills Ability to operate productively in a team environment Strong verbal and written communication skills Experience leveraging data analysis as part of fundamental research process for business, public policy, finance, engineering, applied sciences, or other quantitative Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully paid health care benefits Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Non-profit matching gift program Support for employee-led affinity groups representing women, minorities and the LGBTQ community Tuition assistance A 401(k) savings program with an employer match and more About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit  www.Point72.com/about . The annual base salary range for this role is $95,000-$115,000, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.    

ROLE: Managing relationships with sell-side brokers for broker data, which includes sourcing new data/research, implementing strategic data initiatives to strengthen partnerships, and providing insights into the broker landscape for the buyside use-case Managing relationships with sell-side contributors of BIDS (Best Ideas Distribution System) Alpha Capture, which includes maintaining regular touch points with our contributors, communicating performance attribution and performance improvement guidelines, and expanding contributor partnership based on the market/industry trends and performance RESPONSIBILITIES: Managing and building relationships with the sell-side for broker data and BIDS Managing regular communications with BIDS contributors for performance feedback, attribution analysis, and performance improvement guidelines Managing and building relationships with internal stakeholders as a subject matter expert (SME) on broker data and BIDS Collaborating across all businesses (L/S, Macro, Cubist, Treasury, Risk, Compliance, Legal) to expand broker data footprint and improve the quality of BIDS program Researching broker data and alpha capture landscape and staying up-to-date on industry/market trends and providing relevant insights to the internal stakeholders Managing day-to-day requests for broker data and BIDS, including overseeing the full broker data lifecycle Contributing to building Point72’s data library with up-to-date information and research that can be used by our front office, middle office, and back office businesses REQUIREMENTS:   5+ years of relevant experience Financial industry experience required; sell-side experience is a plus Alpha capture program experience is a plus Experience working with data sourcing and management is a plus Ability to be manage, prioritize, and execute tasks in a fast-faced, multitasking environment Ability to uphold compliance framework and IP sensitivity framework Strong oral and written communication skills High level of attention to detail Intellectual curiosity and love for proactive learning   Strong interpersonal skills   Commitment to the highest ethical standards    

Role: The Broker Data Associate will play a critical role in helping the business manage and strengthen sell-side relationships through broker data and research by: Helping manage relationships with sell-side brokers for broker data and research feedsProviding insights into the sell-side data offerings and identify opportunities to expand data partnership Acting as a point of coordination between sell-side brokers and internal teams on data-related initiatives and requests Responsibilities: Help build and scale data relationships with our existing and new brokers Act as a liaison to address day-to-day requests around broker data Onboard new broker datasets through the entire lifecycle, including collaborating with Compliance, Legal, etc. Leverage sell-side insights to understand data landscape and hedge fund trends Requirements: Bachelor’s or master’s degree (with strong academic record) 3+ years of relevant experience Financial industry experience required; sell-side experience is a plus Experience working with data sourcing and management is a plusAbility to be manage, prioritize, and execute tasks in a fast-faced, multitasking environment Ability to uphold compliance framework and IP sensitivity framework Strong oral and written communication skills High level of attention to detailIntellectual curiosity and love for proactive learning Strong interpersonal skills Commitment to the highest ethical standards

Access Holdings is a next-generation alternative asset manager providing investors with access to the lower-middle market. Founded in 2013, Access Holdings has approximately $2.3 billion in assets under management. The firm implements its systematic research and data-driven operating model - The Access Edge - to partner with lower-middle market businesses in industries essential to economic growth and resilience. For more information, please visit www.accessholdings.com . ACE (Access Creating Executives) Program Overview: Access is seeking outstanding candidates for its Digital ACE (DACE) Program. This role is part of a broader Access strategy to cultivate best-in-class marketing and business development talent across the Access investment ecosystem. This is an exciting opportunity for high-potential talent to learn, implement, and continuously evolve a proven sourcing and origination strategy that has driven tremendous value for Access across a wide range of use cases. This position provides hands-on experience working hand-in-hand with deeply experienced Digital, Corporate Development, Sales and Marketing executives as well as senior investment professionals at Access. As part of the DACE program, you will sit at the epicenter of some of the most important Access Holdings Value Creation initiatives, while learning and applying a wide range of contemporary digital tools and technology. Participants will work directly with portfolio executives, digital and corporate development teams to design data dashboards and establish best practices to drive operational efficiency and inform growth strategies, such as market and competitive intelligence and customer analysis. Candidates who join the DACE Program as a member of an Access portfolio company will be working in partnership with the Access data analytics team, and the corporate executive teams to drive key business intelligence initiatives. Participants will develop a meaningful skillset and become deeply knowledgeable in data analysis processes across multiple facets. You will be working directly with the Access team and their respective deal / portco teams. Members of the program will attend and participate in onboarding and training led by Access and designed to develop a robust knowledge and skillset in our digital tools and capabilities. Participants will be well-positioned to accelerate their career towards a move into several Data Science, Business Intelligence, and Corporate Development roles across the ecosystem for the long-term. Company Detail: Company: Zeus Fire & Security Industry: Fire Life Safety (FLS) & Security Location: Paoli, PA Zeus Fire and Security was established in 2022 to build a national network of fire protection and security providers recognized for execution excellence across a variety of service lines and end markets. Zeus addresses customers’ fire protection and security needs through a broad array of services from mission critical fire system installation, testing, and inspection to physical security system installation and video monitoring. Zeus was established with the purpose of partnering with industry-leading fire and security operators who are seeking a collaborative growth partner dedicated to inspiring and accelerating the long-term growth of business and team members. Zeus operates Alert Alarm Hawaii, Bayside Fire and Security of Maryland, SMG Security of Chicago, PASS Security of St. Louis, Independent Alarm of New Jersey, Martin Systems of Wisconsin, Absolute Security Group of Maryland and national-account provider UAS. For more information, please visit https://www.zeusfireandsecurity.com . Key Responsibilities Own deployment of Pulse use cases, such as: Data platform implementation, including assessing data sufficiency to track target KPIs, building management dashboards, maintaining data cleanliness and quality, and building automated reporting to Access Marketing mapping and enrichment for M&A and customer industries, including M&A “want to own” and customer “want to serve” prioritization Geographic prioritization (at the MSA, zip, and address level) for new locations Customer intelligence (e.g., predictive churn) and pricing analytics to drive business priorities Use data to enhance operations and decision-making, including: Build a data-driven understanding of customers and competitors through the collection and synthesis of exogenous data sources Ensure the executive team has timely and comprehensive visibility to internal performance data to monitor the business and course-correct as necessary Internal and external benchmarking to identify best practices and areas of opportunity Build predictive models to support organic growth, such as revenue forecasting, churn prevention, and predictive cross-sell Report directly to the COO and collaborate with the CIO to deliver business insights through key data analysis Strong ability to communicate complex data findings to technical and non-technical audiences such as Founders, CEOs, and other senior stakeholders Establish a proficiency of the Access digital tool capabilities to drive broader adoption and identify enhancement opportunities Keep up-to-date with emerging data analytics tools and tech to gain insights into competitors and various industry markets Professional Qualifications Bachelor’s Degree (in Business); Master’s Degree (in Data Science) required 2-4 years of professional experience in business or data analysis, preferably within a technical environment (required) Exceptional project management experience Passion for learning emerging data tools Strong communication skills, especially in translating quantitative work to non-technical audiences Demonstrated ability and interest in working in a small, entrepreneurial team Proficiency in Microsoft Excel and PowerPoint Basic understanding of databases and API integrations Basic familiarity with business systems (CRM, ERP, etc.) Basic comprehension data visualization (e.g. PowerBI, Tableau,) and data analysis tools (e.g. Python, R, SQL) Must be eligible to work in the U.S. without requiring sponsorship now or in the future Personal Characteristics High energy, intellectually curious thinker Strong problem solver with attention to detail Comfortable working in a small team environment – willing to pitch in; no task too small Solid process orientation; knows how to move ideas into action Open and collaborative team player that is professional and exemplifies high emotional maturity Low ego, consultative style with an ability to influence through use of data Organized and resourceful with an ability to get things done Effective in balancing need/use of data and analysis with desire for insights and action Strong interpersonal and communication skills (written and verbal) A self-starter with a close attention to detail and a high level of initiative Compensation: The compensation for this role ranges $100,00 - $120,000 annually

Build Your own Job Description! Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers with strong analytical skills, who can create algorithms and conduct statistical and ability to integrate raw information from different sources to create consistent machine readable formats. Our engineers are versatile, enthusiastic and work with leaders across the organization to help support business decisions. Does this sound like you? As a Data engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. Their ultimate goal is to make data accessible so that various stakeholders and clients can use it to evaluate and optimize their business performance. What are we looking for? Technical Skills and Responsibilities:  Analyzing and organizing raw data  Developing and maintaining datasets  Improving data quality and efficiency  Build data systems and pipelines  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data acquisition  Develop analytical tools and programs  Collaborate with data scientists and architects on several projects Other skills and competence  Technical expertise with data models, data mining, and segmentation techniques  Strong analytical and problem-solving skills.  Hands-on experience with SQL database design  Knowledge of programming languages (R, Python)  Bachelor’s Degree in Computer Science, IT, or similar field  Highly motivated with a sense of ownership and accountability.  Quick learner with a great attitude.  Genuine team player, able to work well and pleasantly in a team and work independently for the team  Ability to communicate effectively with technical and non-technical audiences

Build Your own Job Description! Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers with strong analytical skills, who can create algorithms and conduct statistical and ability to integrate raw information from different sources to create consistent machine readable formats. Our engineers are versatile, enthusiastic and work with leaders across the organization to help support business decisions. Does this sound like you? As a Data engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. Their ultimate goal is to make data accessible so that various stakeholders and clients can use it to evaluate and optimize their business performance. What are we looking for? Technical Skills and Responsibilities:  Analyzing and organizing raw data  Developing and maintaining datasets  Improving data quality and efficiency  Build data systems and pipelines  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data acquisition  Develop analytical tools and programs  Collaborate with data scientists and architects on several projects Other skills and competence  Technical expertise with data models, data mining, and segmentation techniques  Strong analytical and problem-solving skills.  Hands-on experience with SQL database design  Knowledge of programming languages (R, Python)  Bachelor’s Degree in Computer Science, IT, or similar field  Highly motivated with a sense of ownership and accountability.  Quick learner with a great attitude.  Genuine team player, able to work well and pleasantly in a team and work independently for the team  Ability to communicate effectively with technical and non-technical audiences

DATA ANALYST, VALUE ADDED SERVICES Current is a leading US-based fintech company dedicated to empowering individuals to achieve their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our success. We're looking for a talented and passionate Data Analyst to join our Value Add Services team and help us leverage data to optimize our operations, enhance our products, and deliver exceptional customer experiences. ABOUT THE ROLE As a Data Analyst on the VAS team you'll be at the forefront of shaping our understanding of customer behavior, banking product performance, and operational efficiency. You'll work closely with product managers, engineers, and other stakeholders to translate business questions into actionable insights. Your work will directly impact key decisions related to our banking products, features, and overall strategy. RESPONSIBILITIES Analyze large datasets to uncover trends, patterns, and improvement opportunities in banking products and services. Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders. Conduct discovery and deep-dive analyses to support data-driven decision-making. Partner with product managers and engineers to define and measure the success of features and initiatives. Design and evaluate experiments to optimize products and enhance customer experience. Monitor and analyze customer behavior across deposits, transactions, and other banking activities. Deliver actionable insights to leadership on emerging trends and innovation opportunities. Work with analytics and backend engineers to ensure accessible, accurate, and high-quality data. Communicate findings and recommendations effectively to both technical and non-technical audiences. Continuously improve data analysis processes and methodologies. Uphold data integrity, accuracy, and governance across analytics pipelines. Support production analytics and fraud response through participation in on-call rotations. REQUIREMENTS Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field. Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology. Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc). Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms. Excellent analytical and problem-solving skills with a strong attention to detail. Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences. Strong business acumen and the ability to translate business questions into data analysis plans. Experience with A/B testing and experimental design. Working experience with Python for data analysis. ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS Familiarity with the fintech industry and banking products is a plus. Ability to thrive in a fast-paced, collaborative environment. Exposure to dimensional modeling concepts to power meaningful analytics. Experience building data pipelines in dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience modeling data using dbt. This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

DATA ANALYST, GROWTH Current is a leading US-based fintech company dedicated to empowering individuals to achieve their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our success. We're looking for a talented and passionate Data Analyst to join our Growth team and help us leverage data to optimize our operations, enhance our products, and deliver exceptional customer experiences. ABOUT THE ROLE As a Data Analyst on the Growth team, you will be at the forefront of understanding our customers. You'll analyze user behavior, their lifecycle, and key metrics to help improve our products, features, and onboarding flows, with the ultimate goal of increasing customer conversion and retention. Working closely with product managers, engineers, data scientists, and marketers, you'll translate business questions into actionable insights that directly impact decisions related to our Improving customer experience and overall business strategy. RESPONSIBILITIES Analyze large datasets to uncover trends, patterns, and improvement opportunities in banking products and services. Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders. Conduct discovery and deep-dive analyses to support data-driven decision-making. Partner with product managers and engineers to define and measure the success of features and initiatives. Design and evaluate experiments to optimize products and enhance customer experience. Monitor and analyze customer behavior across their lifecycle. Deliver actionable insights to leadership on emerging trends and innovation opportunities. Work with analytics and backend engineers to ensure accessible, accurate, and high-quality data. Communicate findings and recommendations effectively to both technical and non-technical audiences. Continuously improve data analysis processes and methodologies. Uphold data integrity, accuracy, and governance across analytics pipelines. Support production analytics and fraud response through participation in on-call rotations. REQUIREMENTS Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field. Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology. Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc). Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms. Excellent analytical and problem-solving skills with a strong attention to detail. Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences. Strong business acumen and the ability to translate business questions into data analysis plans. Experience with A/B testing and experimental design. Working experience with Python for data analysis. ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS Familiarity with the fintech industry and banking products is a plus. Ability to thrive in a fast-paced, collaborative environment. Exposure to dimensional modeling concepts to power meaningful analytics. Experience building data pipelines in dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience modeling data using dbt. This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Senior Data Scientist About Current Current is a leading U.S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest-growing companies with nearly 4 million members. Headquartered in NYC, our results-driven environment empowers our team to build better products, grow faster, and have a direct impact on our mission to improve financial outcomes for our members. About the Role At Current, data is at the core of everything we do. As a Senior Data Scientist on the Data and Growth teams, you will focus on machine learning modeling to build predictive models that help us understand our customers better, improve user experience, and efficiently acquire and retain members. This is a hands-on role focused on solving complex problems, developing and deploying ML models, and driving data-driven decision-making. Your day-to-day will involve analyzing, preparing, and structuring data; building and optimizing predictive models; leveraging clustering algorithms; and collaborating with cross-functional teams (Product, Engineering, Marketing) to integrate ML solutions into customer-focused strategies and processes. Responsibilities Design, develop, and deploy predictive classification and regression models, along with anomaly detection models and algorithms. Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models. Evaluate and optimize model performance using statistical and ML techniques. Design and execute A/B tests to measure and validate model impact. Perform customer segmentation using various clustering techniques. Develop and implement model monitoring dashboards and establish model governance techniques. Collaborate with Analytics, Product, Engineering, and Marketing teams to seamlessly integrate predictive models into workflows. Work with the ML Engineering team to ensure efficient data pipelines and scalable model deployment. Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation. Qualifications About You 5+ years of experience in data science with a strong emphasis on machine learning modeling. Proficiency in Python for data analysis and ML, with experience using libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch. Expertise in SQL and working with large, complex structured and semi-structured datasets. Strong understanding of core machine learning techniques, including logistic regression, gradient boosting, decision trees, and clustering methods. Experience in feature engineering, model selection, and performance optimization. Experienced in designing, executing, analyzing, and reporting on experiments. Strong communication skills and ability to present findings to technical and non-technical stakeholders. Master’s or higher degree in Data Science, Computer Science, Statistics, or a related field is preferred. Preferred Skills & Qualifications Experience working in fintech, e-commerce, or other data-rich consumer-facing industries. Familiarity with Google Cloud Platform (GCP) services, particularly Vertex AI and Dataflow, for scalable data processing and model training. Experience with dbt for data modeling. Familiarity with BigQuery or other MPP (Massively Parallel Processing) databases. Experience using the Scala programming language for developing scalable and efficient data pipelines. Benefits Competitive salary Stock options 401(k) savings plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Unlimited time off and paid holidays Generous parental leave policy Commuter benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches This role has a base salary range of $170,000.00 - $220,000.00. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.

The Opportunity We are seeking a sales-oriented Staff Data Scientist – think Sales Engineer, but for Data Science – who can lead complex, cross-functional initiatives and communicate deep technical nuance to sophisticated, but non-technical audiences. You will function as a strategic bridge between our Data Science and Growth teams, not only giving voice to analyses but proactively identifying and mitigating project risks weeks in advance. You should be an effective coordinator across verticals and a strategic thinker with a deep understanding of current business needs and industry trends. The role will leverage and extend our analytic platform to design an ecosystem of explanatory tooling that will provide an explicability layer for our underwriting models. You will align these interpretability projects with an evolving and highly seasonal go-to-market motion, utilizing GenAI as a strategic thought partner to accelerate system design. Additionally, you will influence the strategy and technical choices that impact the company’s financial offer, sales motion and risk management framework, by providing high-level feedback to colleagues on how we can further differentiate and elevate Pearl’s offerings in a competitive sales environment while intelligently managing Pearl’s financial exposure. Who We Are Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes. Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare. What a Data Scientist, Growth is responsible for (during the sales season): Engaging with sales leads as a “human explicability layer,” up-leveling understanding for non-technical audiences to ensure that complex underwriting results are communicated clearly to drive sales. While you will have direct contact with prospects, you will also identify opportunities to automate explicability through robust technical systems. Crucially, you will use points of friction or resonance observed in the field to inspire the roadmap for our core ML team, ensuring our models and features evolve in direct response to market needs and stakeholder feedback. Leading complex and dynamic collaborations between the Data Science and Growth teams. This requires not just organizing resources, but proactively identifying and mitigating risks to ensure SLAs are met or exceeded. Helping us refine the competitiveness of our value-based care contracts. You will anticipate stakeholder needs and provide strategic guidance on which aspects of our sales offerings are compelling, proactively proposing new work based on these business insights. Ensuring quality and availability of various data sources. You will set standards for code quality and reproducibility regarding lead information, sales touchpoints, and financial analyses. What a Data Scientist, Growth is responsible for (outside of the sales season): Leveraging a deep understanding of ML concepts (e.g., using SHAP or feature importance but also less formal quantitative instinct) to consult on the application of payment models. You will develop a deep orientation to the core team’s outputs, ensuring our financial logic is both accurate and explainable for provider-facing scenarios. Designing and engineering analytics tooling to stress-test our underwriting outputs. You will use your technical expertise to contemplate where models may be weak and investigate corner cases, ensuring our growth motion is supported by high-fidelity, defensible data in the upcoming season. Deepening knowledge of healthcare models. Developing a deep understanding of industry trends (e.g., LEAD, REACH, MSSP, Medicare Advantage) and data heterogeneity to align with Pearl's strategic roadmap. Evaluating vendors and technologies. Participating in evaluations for core technologies to help us better understand our customers and the market. Who You Are 8+ years of experience in performing results-driven quantitative analysis in a healthcare management or professional consulting environment. A degree in statistics, applied math, computer science, engineering or a related field (e.g., healthcare policy) is strongly preferred. SQL expertise and strong foundation in at least one of the main data science programming languages (Python, R, Julia, Scala, Matlab). Python is our current primary language and is preferred. Eloquent communicator who can communicate deep technical nuance to internal teams while up-leveling understanding for lay audiences. Relish synthesizing the complexity of the healthcare/financial ecosystem into actionable insights that provide value to providers. A proven mentor who fosters a culture of technical rigor and mentors more junior team members. A proven ability to apply research and analytic models to inform growth operations, with a high "hit rate" that indicates accurate intuition for promising nascent research. Our Values 🤝 Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions. 🗣️ Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate, from building products to fostering relationships, and is crucial to our ability to communicate openly and gain trust. ❤️ Serious Impact, Big Heart: We go above and beyond with our efforts to empower proactive, patient-centered care — and we celebrate every step forward. Humor and positivity fuel our creativity, strengthen relationships, and remind us to acknowledge the journey as much as the destination. We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination. What We Offer The expected offer for this role includes the following components: Base Salary Range: $160,000 - $200,000 per year. Additional Compensation: This role is eligible for a discretionary performance bonus and equity options. Benefits: We offer a competitive benefits package. More on our careers page. Final compensation for this role will be determined by a variety of factors, including a candidate's relevant skills, experience, labor market conditions, and location. Agency Submissions We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired. The Interview Process While steps may vary by role, you can typically expect: Recruiter Screen: An intro call to discuss your background and motivations. Technical Assessment: A technical take-home via Coderbyte. Hiring Manager Interview: A deeper-dive conversation with your potential manager. Panel Interview: A round of meetings with teammates and cross-functional partners. Executive Interviews: Final conversations with 1-2 of our leaders.

Position Summary Focus Partners Wealth is seeking a Data Services Specialist. This role plays a pivotal role in ensuring the integrity and accuracy of client information within our core operating systems, catering to both BSW and BSP end clients. Responsibilities encompass processing requests via Salesforce workflows, utilizing administrative tools within core systems, conducting data analysis, and delivering clear explanations to advisors and end-users. As a key custodian of client data, this role not only fulfills essential day-to-day functions but also evolves to demonstrate expertise in specific areas over time. The precision and reliability of client data management are paramount to our company’s core values, reflecting our unwavering commitment to data integrity. Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 day per week, or as assigned by their team leader. Primary Responsibilities Support all team members in essential duties and responsibilities related to Data Services. Proficiently analyze and troubleshoot complex issues related to positions and portfolios, effectively communicating solutions to advisory teams. Analyze processes and procedures to identify improvements or efficiencies. Coordinate with relevant teams to establish and maintain effective communication channels and workflows. to establish new download interfaces. Research, analyze, and reconcile data while assisting with inbox tasks and Quarterly Reports. Continuously learn about the business through job shadowing and educational opportunities, upholding the firm’s core values. Classify securities using the standard and guidelines established by our investment team. Provide expertise in data processing and supporting knowledge transfer to other teams. Consistently achieve Associate Goals and actively contribute to executing Team Plans within the department. Demonstrate a comprehensive understanding of all business practices within the department and the organization. Oversee the Heldaway assets, addressing aggregation issues and performing manual reconciliation as needed. Perform advanced cost basis functions, including updating missing data, troubleshooting discrepancies, and accounting disposal methods. Perform regular audits to maintain data integrity in Orion, continually seeking to enhance existing processes and develop new audit processes. Manage workflows through various platforms and systems, ensuring efficient operation across all channels. Qualifications Bachelor’s degree or relevant experience in data management, preferably within the financial services industry. Proficiency with Windows Operating systems and Microsoft Office suite. Familiarity with key tools such as Orion, Custodian platforms, Salesforce, and other Portfolio Management tools. Strong organizational skills, thriving in fast-paced environments. Positive attitude towards continuous learning and professional development. Demonstrated expertise and success in Client Data Services Specialist II role or equivalent. Excellent verbal and written communication skills. Effective people skills, capable of engaging with individuals of diverse backgrounds and expertise levels. Proven history of punctuality and meeting deadlines. The annualized base pay range for this role is expected to be $50,000 - $60,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.#LI-JS1 Focus is a leading partnership of fiduciary wealth management and related financial services firms. Focus provides access to best practices, greater resources, and continuity planning for its affiliated advisory firms, which serve individuals, families, employers, and institutions with comprehensive financial services. Focus firms and their clients benefit from the solutions, synergies, scale, economics, and best practices offered by Focus to achieve their business objectives. For more information about Focus, please visit www.focusfinancialpartners.com . Focus Partners Wealth is an organization of wealth, asset, and business management resources that brings strength, innovation, and partnership to client relationships. Through a comprehensive range of services, we work with clients at every stage, helping them control their financial future — whether that’s planning for retirement, preparing the next generation, or growing their business. We are dedicated to fostering meaningful growth for our clients. Our team of advisors works collectively to deliver personalized wealth planning strategies across local communities, placing our clients’ values, goals, motivations, and priorities at the heart of everything we do. Focus Partners Wealth is a registered investment advisor with the Securities and Exchange Commission. Registration does not imply any level of skill or training. Additional information about Focus Partners Wealth is also available on the SEC's website at www.advisorinfo.sec.gov . For Indiana Applicants: It is unlawful for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For Maryland Applicants: I UNDERSTAND THAT UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT ANY INDIVIDUAL SUBMIT TO OR TAKE A POLYGRAP OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100. For California Applicants: Information on your California privacy rights can be found here For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this shall be subject to criminal penalties and civil liability. For Montana Applicants: If hired, the employment relationship is governed by the Wrongful Discharge from Employment Act. Mont. Code Ann. Section 39-2-901. For Rhode Island Applicants: Focus is subject to Chapters 29-38 of Title 28 of the General Laws of Rhode Island and is therefore covered by the state’s workers’ compensation law. If you willfully provide false information about your ability to perform the essential functions of the job, with or without reasonable accommodations, you may be barred from filing a claim under the provisions of the Workers’ Compensation Act of the State of Rhode Island if the false information is directly related to the personal injury that is the basis for the new claim for compensation. The Company complies fully with the Americans with Disabilities Act.

Are you interested in shaping the future of transportation? Consider joining the Leidos team operating FHWA’s Saxton Transportation Operations Laboratory (STOL) , a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to support the advancement and adoption of emerging technologies, including automation and communication in vehicles and on the roadside. Location: This role requires full-time on-site work at the customer site in McLean, VA. Learn about STOL here : https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL Candidates MUST: All applicants must be legally authorized to work in the United States with proof of legal status and be eligible for a Public Trust Clearance which includes three consecutive years in the United States within the last five years. Leidos is seeking a highly skilled Transportation Data Scientist to support FHWA-funded projects at the intersection of AI, data science, and transportation. This role will focus on developing and deploying AI/ML models for applications such as vehicle load classification using weigh-in-motion (WIM) data and imagery, crash prediction in traffic management centers (TMCs), and creating data ecosystems for trustworthy AI. The ideal candidate will have hands-on experience in AI model development, data integration, and stakeholder engagement, with a passion for identifying new opportunities to apply AI in state-level transportation initiatives. This position offers the chance to drive innovation in a dynamic, federally supported research environment. Primary Responsibilities Conduct data and literature reviews, including targeted searches for AI methods, datasets, and technologies relevant to freight analytics, traffic safety, and operations (e.g., sensor fusion, computer vision, and multimodal AI).Prepare and integrate datasets for AI use cases, including cleaning, normalizing, enriching, and fusing multi-source data (e.g., traffic logs, imagery, weather, and permitting records) while addressing quality issues like inconsistency, sparsity, and bias. Lead the design, development, and deployment of AI/ML models for transportation applications, including classifying oversized/overweight (OS/OW) vehicles using WIM data and imagery, crash prediction in TMCs, and generating synthetic data for model training.Evaluate AI model performance under diverse conditions, such as varying data quality levels, and provide recommendations for improving model robustness, scalability, and trustworthiness in real-world transportation environments. Support stakeholder outreach and engagement, including organizing peer exchanges, workshops, and technical briefings with state DOTs, MPOs, enforcement agencies, and vendors to gather insights on AI applications in WIM systems, permitting integration, and crash prediction.Identify and pursue new opportunities with state DOTs for AI initiatives, including contributions to developing roadmaps, proposals, and implementation strategies for AI in ITS, such as anomaly detection, traffic optimization, and safety analytics. Collaborate with cross-functional teams to ensure project alignment with FHWA goals, including risk management, quality assurance, and compliance with federal standards.Provide technical leadership in monthly progress reporting, risk mitigation, and iterative model refinement based on federal feedback. Required Qualifications Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, Transportation Engineering, or a related field; Master's or Ph.D. preferred. 5+ years of professional experience in data science and AI/ML, with demonstrated expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), data processing tools (e.g., Pandas, NumPy), and AI techniques (e.g., deep learning, generative AI like GANs, computer vision). Must have experience collaborating with state and local DOTs - developing new customers / Business Development experience Must have a minimum of at least 2+ years of relevant non-academic experience. Proven experience in data preparation and integration, including ETL processes, handling multimodal data (e.g., imagery, sensor data, time-series), and addressing data quality challenges in real-world applications. Strong analytical skills with experience in model evaluation metrics (e.g., AUC, accuracy, scalability) and testing AI systems under varied conditions.Excellent communication and collaboration skills, with experience in stakeholder engagement, technical reporting, and presenting complex AI concepts to non-technical audiences. Ability to work in a fast-paced, research-oriented environment with travel up to 20% for stakeholder meetings and site visits.Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US). All applicants must be legally authorized to work in the United States without company sponsorship. Preferred Qualifications Prior experience working with state DOTs or federal transportation agencies (e.g., FHWA, USDOT) on AI initiatives, including developing AI roadmaps, implementations, or evaluations in ITS. Demonstrated hands-on experience proposing, designing, developing, and deploying AI systems within ITS, such as for freight classification, traffic crash prediction, or WIM data analysis.Familiarity with transportation-specific data sources (e.g., HSIS, SHRP2, NGSIM) and standards (e.g., SAE J2735 for V2X). Experience in synthetic data generation, generative AI (e.g., LLMs), or physics-informed ML for transportation applications.Knowledge of federal AI governance, risk management, and equity considerations in transportation. Project management experience, including leading AI tasks in multi-agency initiatives or contributing to communities of practice (CoPs).Publications or presentations in AI/transportation conferences (e.g., TRB, ITS America). Anticipated salary range for this role is $95,000-$130,000 At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.” If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in. Original Posting: October 3, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Regional Vice President, Sales - CoStar Data & Analytics – San Francisco, CA or Denver, CO Job Description Who is CoStar Group? CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Why CoStar? Proven Success : 90%+ average customer renewal rate and consistent 10%+ year-over-year growth. High Rewards : Competitive base salary with uncapped commissions, exceptional benefits, and exclusive incentives like our annual President’s Club retreat at a luxury destination for top performers. Career Development : Comprehensive onboarding and training experience with a clear path for growth, where top performers enjoy long-term career advancement. Innovative Tools : Access to industry-leading products that give you a competitive edge. Role Overview As a CoStar Regional Vice President (RVP) you will have the overall responsibility for continuing the momentum of rapid revenue growth of our West Coast region . You will lead a team of Regional Sales Directors and Sales Executives to achieve revenue growth goals, maintain renewal goals and expand revenue opportunities by growing the number of territories, further penetrating into the vertical markets and increasing cross-sales success. You will build and develop a high-performing sales organization and culture in your region. To be successful, you will inspire and create excitement with the customer base and sales prospects, your sales teams, as well as across the entire organization and in the marketplace. You will be a tireless, high-energy professional with an entrepreneurial, risk-taking flair and will possess a brand of confidence, which allows for delegation and empowerment of your team. You must possess excellent interpersonal skills, the highest level of integrity and be able to inspire trust and confidence. Finally, you must have a level of business maturity, flexibility and intestinal fortitude to re-energize and instill a winning, “can-do” attitude within your organization . This role will be based out of our San Francisco, CA or Denver, CO office and require some travel to the markets you will oversee. Key Responsibilities Drive sales goals of double - digit annually for your region . Attract, develop and retain a strong team of Regional Directors and Sales Executives who can perform at or above CoStar’s stated goals, aggressively growing active users, achieving net new revenue goals . Work directly with a team of Regional Directors to develop them into high-performing sales leaders and provide support and guidance to help them develop their teams and increase penetration in major markets . Ensure that Regional Directors are hiring top-tier candidates, and training and developing their “A players . ” Identify and ensure training needs are met for your sales force, addressing employee skill gaps and performance issues as appropriate . Develop and implement sales plans to achieve corporate goals and enforce performance goals accordingly. Create and develop relationships with key customers to enhance retention and increase additional sales to those accounts . Constantly seek , and implement best practices in the sales function . Lead efforts to implement process controls and drive a mind-set of continuous improvement throughout your region sales organization. Establish and maintain collaborative relationships with key stakeholders including business and functional partners and the senior management team . Serve as an integral member of the senior sales leadership team assisting the executive team in the achievement of company goals . Basic Qualifications External Candidates 15+ years of experience in a sales leadership role, with 5+ years of managing managers and a direct sales organization of at least 50 employees. 10+ years of experience managing sales efforts in a highly transactional, fast-paced organization with a short cycle-time sales model. Internal Candidates Minimum 10 years of experience managing sales efforts in a highly transactional, fast-paced organization with a short cycle-time sales model. 24+ months in a people manager role at CoStar Group, with a strong track record of meeting or exceeding sales targets . All Candidates Bachelor's degree required from an accredited, not-for-profit, in-person college/university. A track record of commitment to prior employers . Candidates must possess a current and valid driver’s license . Satisfactory completion of a Driving Record/Driving Abstract check prior to start . Experience leading sales efforts in a fast-paced, consultative sales model. Experience in managing outside sales teams in a B2B environment selling data, research, and analytic platforms or tools, commercial real estate, property technology, financial services, business intelligence, marketing, information providers, or related experience preferred. Client-facing experience in the commercial real estate industry is strongly preferred. Preferred Qualifications & Skills Demonstrated ability to retain strong sales leaders, proven sales producers and performance manage non-producers. Proven ability to work across all areas of an organization to influence stakeholders and constituents and lead the team to success. Demonstrated track record of developing sales leaders. Effective relationship builder internally (peers, teams, company-wide) and externally (sales channels, customers, etc.). Ability to be flexible and adapt to changing situations at a high growth company. What’s In It For You? If you are a driven professional looking for a high-growth, high-reward career, CoStar Group offers the ideal opportunity . Be part of a best-in-class company with strong year-over-year growth that invests in your success. Enjoy a rewarding atmosphere where you can learn, excel, and grow. When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and in person mental health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site fitness center and/or reimbursed fitness center membership costs (location dependent) Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks Pay Transparency This position offers a base salary range of $ 180 , 000 - $ 225, 000 , based on relevant skills and experience, an uncapped/generous commission plan and generous benefits. Sponsorship We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position. #LI-MM3 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation. The Service Delivery Technician provides physical support of data center equipment in a critical environment. This role has a high level of engagement with our customers, employees, and vendors at all levels and will perform requested installations and troubleshoot tasks.Iron Mountain Data Center is looking for team members who are open to learning and growing in a fast-paced and evolving environment. High-energy, a strong sense of urgency and dedication to your team, our customers, and IMDC’s vision is required to be a success in this role. This is a full-time shift position. This is a full-time shift position, and may be required to work 1st, 2nd or 3rd shift. Responsibilities: Provide hands support for any request requiring actions within the data center space including server/network equipment racking, cabling and provide hands-on support for customer requests, on-the-job training will be provided. Monitor service management ticketing system for tasks as assigned throughout your daily shift. Tasks can include customer requests, escorting, trouble tickets, material handling, and customer installations. Proactively identify issues and take the needed steps to resolve. Key Skills, Requirements and Competencies: 0-2 years experience in a customer service or data center environment preferred, but not required. Multi tasking - we use several different systems to manage ticket queues. Work tasks can change throughout the day. Attention to detail - ability to understand and follow a documented process and Iron Mountain’s safety code, role is very process driven. Organization & prioritization - following processes and managing your time with minimal supervision to get work done efficiently and on time. Dedication & desire to learn - we would like you to grow your career within Iron Mountain. Customer service mentality - we are customer obsessed. Opportunities for overtime work will be available. Working hours are varied and nights, weekends and holidays may be required. The ability to obtain security clearance via government or other agency background check may be required for customer support. Disclaimer: This job description is not meant to be an all-inclusive statement of every duty and responsibility of the jobholder. Certain features of this job are described in the above headings, but are not necessarily limited to the above written statements. They may be subject to review. All positions within Iron Mountain may include other duties as assigned. US: Iron Mountain is an equal opportunity employer, and does not discriminate on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, marital status, age, sexual orientation, disability, veteran status or other legally protected classifications under applicable federal, state, or local laws in making employment decisions. Category: Operations Group

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we are leading the way in technology, transforming industries with our innovative advancements in AI and accelerated computing. We are looking for an exceptionally skilled Technical Marketing Manager - Data Center Infrastructure Specialist to join our dynamic Accelerated Computing team in Santa Clara, CA. This is a unique opportunity to combine your technical expertise with marketing skills, guiding data-driven storytelling and crafting compelling technical marketing assets. If you are ambitious and excel in a collaborative setting, we invite you to contribute to shaping the future of AI infrastructure design and deployment! What you'll be doing: Develop and implement data-driven marketing strategies to support product launches and ongoing campaigns. Build and share detailed data center models to showcase intricate insights and value with collaborators. Educate internal teams and partners on challenges, opportunities, and market trends. Collaborate with cross-functional teams to ingest and present data on relevant topics. Work with our sales organization to develop effective sales collateral and tools. What we need to see: Bachelor's degree in Marketing, Computer Science, Engineering, or a related field (or equivalent experience). 5+ years of experience in data center deployment project management, technical marketing or a similar role with a strong focus communication. Experience and awareness of the data center design and simulation tools and the associated vendors and technology choices. In-depth knowledge of data center environments, power distribution, cooling (air and liquid), heat rejection, servers, and network equipment. Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner. Strong desire to learn, motivated to tackle complex problems, and the ability to make sophisticated trade-offs. Ways to stand out from the crowd: Successful examples of project management or design of new data centers Existing relationships with associated consumers and vendors Simulation definition and execution experience for data center air and/or liquid cooling optimization. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 148,000 USD - 235,750 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About ATLAS SP ATLAS SP Partners is a global investment firm that seeks to provide stable funding and capital markets services to companies seeking innovative and bespoke structured credit and asset-backed finance solutions. ATLAS SP’s tenured experts work with clients to determine the best approach to optimize their capital and achieve their goals, across a broad range of capabilities. Our integrated platform encompasses a holistic suite of capabilities, including asset/portfolio advisory solutions, warehouse/acquisition financing solutions, whole loan purchase/sale and securitization/distribution. Our Culture ATLAS SP is “one team” where everyone makes an impact – we grow together, win together, and embrace change together. From advancing the markets to supporting our communities, everything we do serves to make a difference. Our people are industry leaders with a passion for client service, complex problem solving, and innovation. We provide our talent with the pathways to grow professionally and personally in a collaborative and inclusive environment. We’re proud to build upon a legacy of excellence anchored in deep expertise and client service across the asset management landscape. Position Overview ATLAS SP is seeking a Risk Technology (VP, Data & Enterprise Services) to join our Data & Enterprise Services team. This is a senior hands-on engineering role focused on delivering high-quality technology solutions supporting Market Risk, Credit Risk, and enterprise risk reporting. The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP must deeply understand how risk metrics are produced, validated, and consumed, and be able to analyze, explain, and troubleshoot risk number movements. This role requires strong SQL, Python, and data engineering skills, along with deep familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership. Primary Responsibilities Serve as the senior technical partner for Market Risk and Credit Risk teams. Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows. Work with Risk Management to understand risk measures, how they are calculated, and the business impact of risk number movements. Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery. Validate and troubleshoot risk calculations using market data, pricing inputs, and risk factor mappings. Support risk analytics for fixed income, credit, derivatives, structured products, and loan assets. Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls. Drive improvements in automation, data validation, transparency, and modernization of risk processes. Required Qualifications and Experience Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments. Strong understanding of risk metrics including DV01, VaR, stress testing, scenario analysis, and credit exposure concepts. Familiarity with risk across fixed income, credit, derivatives, loans, and structured products. Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization. Python experience for data processing, analytics, and automation. Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems. Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows. Excellent communication skills, with ability to partner with Risk Management, Front Office, and Quant teams. Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related quantitative discipline. Preferred Qualifications and Experience Experience with risk platforms, pricing engines, or market data systems. Familiarity with structured credit or whole loan analytics. Experience working with cloud platforms such as Azure or Snowflake. Understanding of credit and market risk regulatory frameworks. Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes. N/A The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here. ATLAS SP is an equal opportunity employer. The firm and its affiliates do not discriminate in employment because of race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other criteria prohibited under controlling federal, state or local law.

SteerBridge Strategies is a CVE-Verified Service-Disabled, Veteran-Owned Small Business (SDVOSB) delivering a broad spectrum of professional services to the U.S. Government and private sector. Backed by decades of hands-on experience in federal acquisition and procurement, we provide agile, best-in-class commercial solutions that drive mission success. Our strength lies in our people—especially the veterans whose leadership, discipline, and dedication shape everything we do. At SteerBridge, we don’t just hire talent—we empower it, creating meaningful career paths for those who have served and those who share our commitment to excellence. SteerBridge Strategies is seeking experienced Data Architects to support the Department of Veterans Affairs (VA) Modern Disability Claims. This initiative aims to improve the delivery of claims and benefits by developing scalable, efficient, and secure data infrastructure tailored to VA’s unique needs and standards. As a Data Architect, you will be responsible for designing and implementing enterprise data models, metadata strategies, and long-term storage solutions. You will work closely with stakeholders to align architecture with VA standards, support system interoperability, and enable robust analytics and compliance reporting. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays Required Skills and Qualifications Must be a U.S. Citizen. Bachelor's degree in computer science or related field, with a minimum of ten (10) years of relevant work experience. An active security clearance or the ability to obtain one is required. RESPONSIBILITIES Lead and mentor a team of data engineers in the design and implementation of VA claims processing data systems Architect and hands-on build enterprise-level data solutions, from prototyping through production deployment Write and structure production-grade code for ETL/ELT pipelines, data transformations, and integration frameworks using Python, SQL, and modern data engineering tools Design and implement data models (conceptual, logical, and physical) while actively building the database schemas and table structures Build and optimize data warehouse solutions in PySpark, AWS Glue, AWS Redshift, AWS SageMaker, and Google BigQuery, including performance tuning and cost optimization Implement metadata management systems and data governance frameworks aligned with VA policies Deploy and configure CI/CD pipelines for data infrastructure using Terraform, CloudFormation, or similar tools for AWS and GCP environments Establish and enforce engineering best practices, code review standards, and technical documentation across the team Collaborate directly with engineers, analysts, and business leaders to translate requirements into implemented solutions Architect and implement secure, compliant data solutions meeting VA standards and federal regulations (HIPAA, CCPA) Design and build data quality frameworks, monitoring systems, and automated testing infrastructure Support data lifecycle management through hands-on implementation of archival systems and retention policies PROFESSIONAL EXPERIENCE / QUALIFICATIONS 10+ years of progressive data engineering experience with demonstrated hands-on technical leadership Recent (within last 2-3 years) hands-on experience building and deploying production data systems and infrastructure Strong programming skills with Python, SQL, and experience structuring scalable, maintainable codebases Hands-on expertise with cloud-based data warehousing solutions and code frameworks. Familiarity with VA data standards, FHIR, and federal compliance requirements (e.g., HIPAA, CCPA) Strong understanding of both relational and non-relational database technologies with hands-on implementation experience PREFERRED QUALIFICATIONS Previous experience with Greenfield work or projects. Experience building data systems within federal healthcare or claims environments Experience with streaming data platforms (Kafka, Kinesis) and real-time processing Knowledge of VA-specific systems or experience with legacy system migrations Strong communication and stakeholder engagement skills Employees in this role are responsible for safeguarding sensitive information and must adhere to all organizational security and privacy policies, ensuring the protection, proper handling, and confidentiality of data at all times. $155,000 - $170,000 a year A salary commensurate with background and experience will be offered. SteerBridge Strategies is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Here at Lower , we believe homeownership is the key to building wealth , and we’re making it easier and more accessible than ever. As a mission-driven fintech , we simplify the home-buying process through cutting-edge technology and a seamless customer experience . With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9) , we’re a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger. Job Description: We are seeking a Senior Data Engineer to play a key role in building and optimizing our data infrastructure to support business insights and decision-making. In this role, you will design and enhance denormalized analytics tables in Snowflake , build scalable ETL pipelines , and ensure data from diverse sources is transformed into accurate, reliable, and accessible formats. You will collaborate with business and sales stakeholders to gather requirements, partner with developers to ensure critical data is captured at the application level, and optimize existing frameworks for performance and integrity. This role also includes creating robust testing frameworks and documentation to ensure quality and consistency across data pipelines. What you'll do: Data Pipeline Engineering: Design, develop, and optimize high-performance ETL/ELT pipelines using Python, dbt , and Snowflake. Build and manage real-time ingestion pipelines leveraging AWS Lambda and CDC systems. Cloud & Infrastructure: Develop scalable serverless solutions with AWS, adopting event-driven architecture patterns. Manage containerized applications using Docker and infrastructure as code via GitHub Actions. Advanced Data Management: Create sophisticated, multi-layered Snowflake data models optimized for scalability, flexibility, and performance. Integrate and manage APIs for Salesforce, Braze, and various financial systems, emphasizing robust error handling and reliability. Quality Assurance & Operations: Implement robust testing frameworks, data lineage tracking, monitoring, and alerting. Enhance and manage CI/CD pipelines, drive migration to modern orchestration tools (e.g., Dagster , Airflow), and manage multi-environment deployments. Who you are: 5+ years of data engineering experience, ideally with cloud-native architectures. Expert-level Python skills, particularly with pandas, SQLAlchemy , and asynchronous processing. Advanced SQL and Snowflake expertise , including stored procedures, external stages, performance tuning, and complex query optimization. Strong proficiency with dbt , including macro development, testing, and automated deployments. Production-grade Pipeline Experience specifically with Lambda, S3, API Gateway, and IAM. Proven experience with REST APIs, authentication patterns, and handling complex data integrations. Preferred Experience Background in financial services or fintech, particularly loan processing, customer onboarding, or compliance. Experience with real-time streaming platforms like Kafka or Kinesis. Familiarity with Infrastructure as Code tools (Terraform, CloudFormation). Knowledge of BI and data visualization tools (Tableau, Looker, Domo). Container orchestration experience (ECS, Kubernetes). Understanding of data lake architectures and Delta Lake. Technical Skills Programming: Python (expert), SQL (expert), Bash scripting. Cloud: AWS (Lambda, S3, API Gateway, CloudWatch, IAM). Data Warehouse: Snowflake, dimensional modeling, query optimization. ETL/ELT: dbt , pandas, custom Python workflows. DevOps: GitHub Actions, Docker, automated testing. APIs: REST integration, authentication, error handling. Data Formats: JSON, CSV, Parquet, Avro. Version Control: Git, GitHub workflows. What Sets You Apart Systems Thinking: You see the big picture, designing data flows that scale and adapt with the business. Problem Solver: You quickly diagnose and resolve complex data issues across diverse systems and APIs. Quality Advocate: You write comprehensive tests, enforce data quality standards, and proactively prevent data issues. Collaborative: You thrive working alongside analysts, developers, and product teams, ensuring seamless integration and teamwork. Continuous Learner: You actively seek emerging data technologies and best practices to drive innovation. Business Impact: You understand how your data engineering decisions directly influence and drive business outcomes. Benefits & Perks Competitive salary and comprehensive benefits (healthcare, dental, vision, 401k match) Hybrid work environment (primarily remote, with two days a week in downtown Columbus Ohio Professional growth opportunities and internal promotion pathways Collaborative, mission-driven culture recognized as a local and national "best place to work" If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team. Lower 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.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles . You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. We’re hiring an experienced Staff Data Scientist to be the technical lead for our Growth Analytics team. You will partner with Growth, Sales, Marketing, and Product teams to identify opportunities, optimize strategies, and unlock scalable growth using data analytics. What You'll Do Operate as the technical partner to Growth, Marketing, Sales and Data Science leaders to define and implement Airwallex’s growth strategy Lead and mentor the team in applying a variety of data science techniques—root-cause analysis, statistical modeling, and experimentation—to identify opportunities and drive product-led growth (acquisition, activation, retention, reactivation) Establish insight-driven approaches to address key business problems and drive business impact Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams and inform growth strategy Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders Translate open-ended business problems into clearly defined data science initiatives for the team to implement Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives Qualifications 7+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). Advanced degree (PhD or MS) preferred Proven experience mentoring or leading data science or data analytics teams Excellent communication and interpersonal skills; proven ability to influence strategy in high-growth environments Demonstrated experience applying data science to drive growth initiatives with concrete impact Strong skills in SQL and Python/R; experience with data modeling a plus Experience in technology, financial services and/or a high growth environment is advantageous Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.