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

The Role We are seeking a Data Science Intern to help develop and deliver the core products of our AI stack: trained models of process physics and AI controllers for edge deployment. Unlike a traditional theoretical research role, this position focuses heavily on implementation. You will define, automate, and optimize the entire analytics path-including signal processing, training, validation, deployment, and monitoring. You will work within a dynamic team to deploy models for inference within mission-critical manufacturing environments, optimizing for real-time response. Key Responsibilities Pipeline & Code Development: Design, develop, and iterate on algorithms using robust coding practices, including the use of code development tools like GitHub. Model Deployment: Experience deploying models in local or cloud environments. You will help deploy policies to the edge where they run real-time inference and continuously make adjustments to physical hardware. Data Engineering: Assess new data sources and interact with data ingestion pipelines or data warehouses. Automation: Automate the creation of automated controls and the analytics path to ensure the technology is scalable. Collaboration: Collaborate with process domain experts to determine what data to collect to ensure high data quality. Required Technical Skills We prioritize candidates with strong software engineering fundamentals and fluency in modern data stacks. Core Languages: Proficiency in Python is required. Libraries & Frameworks: Expertise with data analysis and ML libraries, specifically TensorFlow, PyTorch, Numpy, Pandas, Scikit-learn, and Spark ML. DevOps & Environment: Fluency with standard DevOps tools. Experience working on Linux ML libraries and compilation. Cloud Technologies: Familiarity with cloud technologies such as AWS, Azure, Databricks, or Hadoop/Spark. Data Visualization: Expertise in data visualization techniques to present actionable insights. Domain Knowledge While programming is the primary focus, familiarity with the following application areas is essential: Time Series & Deep Learning: Demonstrated skills in time series data analysis and Deep Learning architectures including LSTM, RNN, and CNN. Reinforcement Learning: Understanding of reinforcement learning techniques for developing optimal control policies. Qualifications & Soft Skills Education: Currently pursuing or recently completed a Master's Degree or PhD in Computer Science, Engineering, or Science. Problem Solving: Intellectual curiosity, entrepreneurial drive, and innovative thinking. Communication: Ability to explain moderately complex information in a concise manner to both specialists and non-technical audiences. What's In It for You Competitive compensation. The opportunity to join a startup with funding, a major customer, and a world-class tech center. Access to full-scale production lines to generate proprietary data and test your code on physical hardware. Cooper Standard is proud of its diverse workforce and committed to providing equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, genetic information, physical or mental disability, age, veteran or military status, or any other characteristic protected by applicable law. We are dedicated to creating an environment at work that not only values diversity but also encourages inclusion and a sense of belonging. We firmly believe that a diverse workplace fosters an environment where our employees can flourish and provide superior service to our customers. Because we recognize and value the range of ways in which people acquire experiences, whether via personal, professional, education, or volunteerism, we invite interested applicants to evaluate the key duties and requirements and apply for any opportunities that fit your experience and qualifications. Applicants with disabilities may be entitled to reasonable accommodations under the Americans with Disabilities Act, as well as certain state and/or local laws. If you believe you require such assistance to complete our online application or to participate in an interview, you (or someone on your behalf) may request assistance by emailing recruitment@cooperstandard.com with a description of the accommodation you seek. Application materials submitted to this email address will not be considered.

Associate Data Science Product Manager Launch Program Overview: Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership. What You'll Do: As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases Agentic workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who you are: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles. Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. Showcases high EQ - can collaborate effectively in a team environment. Experiences you’ve had: Graduating with a bachelor's or master's degree in Summer 2026, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management . (Start date in our August 2026 cohort) Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility. Who We Are: Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit www.redventures.com . Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com This role is not eligible for sponsorship or transfer of visa sponsorship at this time. If you are based in California, we encourage you to read this important information for California residents linked here . Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo’s comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo’s core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo’s risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive ) and cloud web services (e.g., AWS, GCP, or Azure ). Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail careers@varomoney.com with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https:// www.varomoney.com/privacy-legal/

TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform healthcare with our innovative technology. We believe in empowering our customers through inventive solutions and a commitment to excellence. Our young, rapidly growing team is looking for passionate professionals who thrive in a dynamic, innovative, and collaborative environment. This role is FULLY REMOTE, though you MUST reside within the United States and be legally authorized to work in the United States. Key Values of all TeamBuilders Committed to driving growth and delivering value for clients Innovative and collaborative, focused on effective implementation of our product Entrepreneurial and ownership mindset Innovative and agile approach to product and customer success The Role We’re looking for a math wizard — someone who lives and breathes statistical analysis, experimental design, and forecasting. You’ll help us uncover insights from complex healthcare data, build predictive models that scale, and design research-grade analyses that directly influence product strategy and clinical decision-making. If you get excited about extracting signal from noise, prototyping models that actually work in the wild , and contributing to cutting-edge R&D in healthcare, this is your role. What You’ll Do Advanced Analytics & Modeling Design and implement predictive and forecasting models for operational and strategic metrics. Conduct large-scale data analyses to identify trends, gaps, and optimization opportunities. Optimization Modeling Development Collaborate with lead data scientist to build and evolve core optimization models (MILP) to improve precision, efficiency, and scalability. Continuously iterate models based on new data and evolving business needs. Leadership & Autonomy Operate independently on complex analytical tasks and mentor junior analysts. Provide clear, actionable recommendations to technical and non-technical stakeholders. What We’re Looking For Qualifications Master’s or Ph.D. in Data Science, Statistics, Applied Mathematics, Computer Science, or related field. 5+ years of experience in data science or advanced analytics roles. Strong proficiency in Python, R, SQL, and big data tools. Expertise in forecasting methods, statistical modeling, and optimization techniques. Excellent problem-solving skills and ability to manage multiple priorities. Strong verbal and written communication skills for client-facing and internal interactions. Preferred Skills Experience with healthcare or operational analytics. Experience with Gurobi. Knowledge of survey data transformation and workflow analysis. Expertise in machine learning. Why You’ll Love Working Here Mission-driven team tackling real healthcare challenges. Freedom to experiment and innovate without layers of bureaucracy. Opportunity to shape the company’s data science culture and R&D direction. Flexible work environment and supportive, intellectually curious teammates. Additional Information Job Type: Full-time, Exempt, Remote Compensation: Competitive including paid time off, medical benefits, 401k and the potential for an annual performance bonus, and/or equity. Culture: We foster a collaborative, engaging, mission-driven culture that values innovation and prioritizes customer success. Powered by JazzHR

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. The Opportunity We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations. Key Responsibilities Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows. Lead client engagements and expansion of business focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions with top-20 global pharmaceutical clients; craft enterprise AI/ML solutions tailored to brand strategy, GTM, RWE, and patient engagement. Manage a portfolio P&L with accountability for revenue growth, gross margins, and delivery excellence. Develop and convert pipeline opportunities ($1-3M+ range) by aligning client priorities with Axtria’s GenAI and ML offerings. Influence account strategy, pricing models, investment cases, and strategic alliances. Oversee solution delivery teams (15+ globally), ensuring scientific rigor, innovation velocity, and commercial impact. Direct end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization, and omni-channel orchestration solutions. Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions. Drive reusability via domain-specific agent libraries, GenAI prompt kits, and modular ML workflows. Build and scale a world-class AI/ML and GenAI delivery organization across the US, India, and EU. Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market. Design solution frameworks to accelerate AI adoption and impact patient outcomes. Develop and pitch proposals to grow the Data Science practice and Axtria’s client base. Qualifications Bachelor’s degree required; MS/PhD in Computer Science or related field preferred. 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops. Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data. Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment. Strong consultative and client-facing experience with a commercial mindset. Experience in RFP development, solution selling, and delivering AI applications in life sciences. Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus. Patents or publications in AI/ML a strong plus. Why Join Axtria Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc. Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies. Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain. Additional Details Hybrid work model (3 days onsite) Berkeley Heights, NJ OR Waltham, MA & client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $157,600 to $205,425 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. #LI-VG1 Powered by JazzHR

Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. We’re looking for a Data Science Manager to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI that empower our Marketing, Growth, and Finance teams to make high-confidence, ROI-positive investment decisions. You’ll serve as a player-coach for a talented group of experienced data scientists, driving innovation while ensuring excellence in delivery. Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week. The Job Build a strong AI and data science foundation : Develop scalable pipelines, reusable modeling frameworks, and robust experimentation platforms to support marketing and growth decision-making. Lead end-to-end data science & AI projects : From requirements gathering through feature engineering, modeling, validation, deployment, and monitoring. Establish best practices : Champion standards in model governance, reproducibility, data quality, and system reliability to ensure sustainable and trustworthy AI adoption. Drive marketing science innovation : Apply advanced methods—causal inference, uplift modeling, multi-touch attribution, and media mix modeling—to unlock insights and optimize spend. Advance forecasting & ROI modeling : Deliver budget allocation frameworks and predictive models that guide long-term roadmap planning and marketing efficiency. Partner cross-functionally : Work closely with Marketing, Growth, Product, Engineering, and Finance leaders to align analytics initiatives with revenue impact. Invest in people : Mentor, coach, and elevate a team of high-performing data scientists; foster a culture of technical rigor, curiosity, and applied innovation. Push the frontier of applied AI in marketing : Evaluate emerging generative and predictive AI approaches for audience segmentation, creative optimization, personalization, and campaign efficiency. You Experience & Education 8+ years of experience in data science roles with direct impact on marketing, growth, or revenue optimization. Master’s or Ph.D. in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Physics, Operations Research or related), or equivalent applied experience. Technical Skills Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, optimization). Deep experience with experimentation frameworks: A/B testing, causal inference, uplift modeling, and attribution models. Proven success in forecasting, optimization, and budget allocation models for marketing and growth functions. Hands-on with data platforms (Snowflake, Databricks) and BI tools (Looker, Tableau, or equivalent). Strong data storytelling and executive presentation abilities. Leadership & Collaboration Exceptional communication skills with the ability to influence executive stakeholders and translate data into actionable business recommendations. Experience developing senior data scientists and elevating team practices. Demonstrated ability to define a strategic vision for applied data science in marketing, balancing rapid experimentation with long-term infrastructure investments. Nice to have Familiarity with experimentation and web/mobile analytics platforms (Optimizely, GrowthBook, Google Analytics, Amplitude). Experience integrating with marketing APIs (Google, Meta, programmatic platforms) for campaign optimization. Prior exposure to generative AI or LLMs in marketing use cases (e.g., personalization, targeting, creative analysis). Knowledge of multi-arm and contextual bandit algorithms for adaptive experimentation and continuous marketing optimization. Familiarity with ML ops practices: version control, model monitoring, scalable ETL frameworks. Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering program. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The total annual salary for this full-time position is $202,000 - $303,000 + equity + benefits. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com . Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom .

Company: Virtú Investments Location: San Diego, CA Position: Associate or Director of Data Science (title commensurate with experience and skill set) Time Commitment: Full time About Virt ú Investments Founded in 1997, Virtú Investments is a multifamily investment manager with nearly three decades of cycle-tested results. We combine deep market insight, full-scope execution, and a collaborative culture to create lasting value for our investors and partners. We are scaling our data‑driven and AI‑enabled capabilities to improve acquisition, disposition, and portfolio management decision making. The Opportunity As our Associate or Director of Data Science, you will be the primary technical analyst who turns raw property, market, and operational data into actionable insights for the Chief Investment Officer (CIO) and Virtú's Investment Committee. You will: Be instrumental in designing and implementing the company's data science platform Own data‑ingestion pipelines from our data sources using Python/SQL. Build statistical models, dashboards, and other ad hoc analyses that inform and drive company strategy around acquisitions, dispositions, asset management, and market selection. Translate complex findings into concise narratives and visualizations for senior investment leadership and capital partners. Key Responsibilities % Time What you'll do Why it matters 50% Advanced Analytics & ML – Work with the CIO to deploy data science techniques across all available company data to inform the company's growth strategy. Examples include developing rent or price forecasting models, geospatial analyses, market grade/ranking, etc. Drives faster, evidence‑based buy/sell decisions and operational efficiencies. 30% Data Engineering & Governance – design repeatable ETL pipelines from Yardi, RealPage, CoStar, and other data sources; enforce data‑quality standards. Ensures analyses and BI dashboards are comprehensive, and reflect trustworthy data. 20 % Insight Delivery – craft executive‑level presentation decks, self‑service BI dashboards, and memos distilling your analysis and findings into clear recommendations. Bridges the last‑mile gap between analysis and investment action. Qualifications 5+ years experience in a data science role, delivering production analytics or machine learning solutions (real‑estate/finance experience a plus). Fluency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and SQL; comfortable querying and optimizing data pipelines. Proven ability to visualize data effectively (Power BI, Tableau, Plotly, etc.) and communicate with both technical and non‑technical stakeholders. Self starter, with ability to immediately contribute to the design of a data science platform for the company. Bachelor's degree in data science, computer science, statistics, economics, engineering, or related quantitative field (Master's degree a plus). Strong written and verbal communication skills, including ability to effectively communicate with non-technical stakeholders. Differentiators Prior multifamily underwriting or property‑management‑system exposure (Yardi, Real Page). Experience with Azure DevOps or GitHub Actions for analytics workflows. Geospatial analysis skills – analyzing location‑based data (map layers, drive‑time polygons, census demographics) to spot micro‑market trends. Familiarity with vector search / LLM prompt engineering (Azure AI Search, Pinecone). Why Join Virtú Collaborative, high-performance culture. Competitive compensation package with benefits. Nearly three decades of investment expertise and a strong track record of success. Professional growth opportunities within a rapidly expanding investment platform. Reporting Line & Team Structure Reports directly to the Chief Investment Officer (CIO). Partners daily with Acquisitions, Asset Management, and Portfolio Management. May mentor junior analysts as the function scales. Location & Work Style Office Location: San Diego, CA Schedule: 5 days per week in office. Travel: none expected beyond optional conferences or off‑sites. Compensation & Benefits Base Salary Range: $130,000 - $180,000 (commensurate with experience and skill set) Annual Performance Bonus: 10-20% of base salary Benefits: Full medical, dental, and 401(k) with employer match

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Are you a driven graduate student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop advanced skills in the rapidly evolving world of digital manufacturing. We're looking for a passionate and talented Data Science Intern (Master's/PhD) to join our team! What You'll Do: As a Data Science Intern at Xometry, you'll contribute to projects that leverage advanced analytical techniques to optimize our manufacturing processes, improve customer experience, and drive business decisions. You can expect to work in an environment that encourages innovation and provides hands-on experience in applying cutting-edge data science techniques to real-world challenges.You will: Develop and implement advanced statistical models and machine learning algorithms for tasks such as demand forecasting, predictive maintenance, or supply chain optimization. Conduct in-depth data analysis to identify trends, patterns, and insights from large datasets related to manufacturing operations, customer behavior, and market dynamics. Design and execute experiments to evaluate the effectiveness of different data-driven strategies. Collaborate with engineers, product managers, and business stakeholders to understand business needs and translate them into impactful data science solutions. Contribute to the development of data pipelines and infrastructure for data science applications. Communicate complex technical findings clearly and effectively to both technical and non-technical audiences. Potentially contribute to research and publications related to your work. What We’re Looking For: Academic Excellence: Currently enrolled in a Master's or PhD program at an accredited college or university, graduating in December 2026 or May 2027, with a strong academic record. The ideal candidate will be pursuing a Master's or PhD degree in: Data Science, Statistics, Machine Learning, or a related quantitative field. Technical Skills: Strong foundation in statistical modeling, machine learning, and data mining techniques. Proficiency in programming languages (e.g., Python, R) and data visualization tools. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable. Research Experience (PhD candidates): Experience conducting independent research and contributing to publications is a plus. Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026). Excellent Communication Skills: Strong verbal and written communication skills, including the ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences. Problem-Solving Skills: A strong analytical mindset and a passion for problem-solving. Legal Authorization: Ability to provide proof of legal right to work in the United States. Location Requirement: Ability to commute to our Waltham, MA or North Bethesda, MD office to work onsite for at least 3 days a week. Provide Unofficial Transcript The estimated base pay rate for new hires into this role is $35.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhood’s crypto product roadmap and growth. This role partners cross-functionally with product, engineering, and executive leadership to ensure data is at the core of our strategic decisions. Learn more about what the crypto team is up to here . This role is based in our Menlo Park, CA office, with in-person attendance expected at least 4 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Lead, mentor, and scale a team of data scientists and analytics engineers working across product and ML domains Partner closely with Crypto product, engineering, finance, and research teams to drive key initiatives such as international expansion, pro trader growth, and Wallet app adoption Deliver robust, data-driven recommendations and analyses to shape product direction, with a focus on stock tokens, perpetuals, and blockchain opportunities Foster a culture of excellence in analytics, experimentation, and impact within your team Represent Crypto Data Science in cross-functional leadership forums and contribute to overall Crypto org strategy What you bring 7+ years of experience in data science, including at least 2+ years of people management Deep experience with Python and SQL in a production or analytics environment Proven success in product data science roles, with a track record of delivering strategic insights and scalable solutions Strong understanding of the crypto ecosystem, with 3–4 years of direct experience highly preferred Executive presence, cross-functional influence, and outstanding communication skills Leadership expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them: Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech. Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly. Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity. What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $247,000 — $290,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $247,000 — $290,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $247,000 — $290,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

We are seeking a Data Science Engineer to analyze complex instrumentation and control system data, detect trends and anomalies, and support engineering decisions. This role applies statistical, signal processing, and machine learning techniques to time-series data and develops tools to automate analysis and reporting. Core responsibilities: Develop and refine models to detect trends, anomalies, and equipment degradation Apply advanced statistical and machine learning techniques to time-series datasets Build automated pipelines for data processing, analysis, and reporting Collaborate with engineers and analysts to improve test methods and insights Translate complex analytical results into clear visualizations and actionable recommendations Research new diagnostic and monitoring technologies for instrumentation systems Compensation: $70,000 - $105,000 Requirements Qualifications: Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, or related field Experience working with large datasets, time-series analysis, and signal processing Proficiency in Python and machine learning/statistical modeling tools Strong analytical, problem-solving, and communication skills Ability to collaborate effectively with engineering teams Preferred Qualifications: Experience with industrial or safety-critical systems Familiarity with instrumentation and control system data Knowledge of data pipelines, automation tools, and database systems Experience visualizing and reporting complex technical data Benefits 4 weeks paid time off 401(k) with company match Health, dental, life, vision, and disability insurance Paid holidays Flexible hours

R2Net is a diamond and jewelry company with a technology soul. As a subsidiary of Signet, R2Net manages both the Blue Nile and James Allen brands while providing innovative e-commerce and supply-chain platforms to the diamond industry as a whole – including manufacturers, retailers, and consumers. As Senior Manager- Data Science, you will build out best-in-class modeling and analytical capabilities across R2Net, shortening the critical path between measurement and action. During the past decade, R2Net has invested in a rich ecosystem of versatile data assets, and you will now be charged with transforming that data into value for the organization. To achieve this, you will oversee the development and deployment of models across a wide range of functional areas – including Finance, Operations, Marketing, and Customer Service – and will design and implement dashboards, reports, and visualizations to make the team’s results understandable for business users across the company. Working with a mix of Data Engineers, Analysts, and Data Scientists, you will design statistically rigorous experiments and scalable A/B testing frameworks, implement algorithmic recommendation models, and conduct forecasting, clustering, and regression analyses. To ensure that the analytic and modeling work of the team achieves broad & effective usage, you will also have core ownership of reporting and dashboarding, thought leadership, and the mentoring & training of associates – your expertise will keep our analytics pipeline focused not only on model optimization, but on true business impact. By seamlessly translating between the business and data domains, you will solve problems in the realms of pricing, forecasting, supply-chain management, digital measurement, and assortment optimization – all while working to grow the overall analytical skills of the organization. You will be equally at home working with senior stakeholders, designing technical requirements for our Engineers and Data Scientists, and engaging with the data itself. These competencies will allow you to establish cutting-edge analytic processes through the org, and your leadership abilities, analytic acumen, and technical proficiency will help you embed a data-driven culture into all of R2Net’s key decision-making pipelines. Core Responsibilities: Data Scientific Modeling: Design and construct predictive models and analytic decision-making pipelines, turning raw data into action-recommendations for users across R2Net Reporting: Build, support, and maintain a wide range of dashboards and reports, ensuring that each asset features rigorous analytic approaches and strong visual design Experimentation: Conduct experiments in pricing, marketing, website design, and user recommendations, building rigorous A/B testing frameworks and strong causal inference models Culture: Guide the analytic culture of the organization by training & mentoring associates, establishing communities of practice, and creating data governance standards for R2Net Data: Take ownership of the structure, availability, completeness, and accuracy of R2Net's data, ensuring that each component of our analytic processes can be trusted and relied upon. Insights: Fulfill ad-hoc research and analytic requests across a wide variety of domain spaces and present core insights to stakeholders and business leaders. Requirements Bachelor's degree in Computer Science, Economics, Statistics, Marketing, or a related field 8+ years in analytics, BI, or data science, with 3–5 years of direct team leadership. Expert-level fluency in both SQL and Tableau, with the ability to communicate these skills to others. Proven experience leading analytics strategy at scale, preferably across multiple business units. Demonstrated ability to manage managers and multi-disciplinary teams. Broad experience across a wide variety of analytic domain spaces (revenue management, assortment, forecasting, digital optimization, segmentation, etc). Excellent relationship management, communication, and data-presentation skills, including a strong eye for the creation of compelling visual narratives. The ability to take initiative, act independently, and function under ambiguity. A penchant for innovation. Helpful, but not required: Experience with Snowflake and associated tools Familiarity with data engineering pipelines and systems (dbt, airflow, etc) Hands-on data-scientific modeling experience in R or Python Knowledge of best-practices in data-governance and data-security Exposure to database administration principles and schema design Competency in Agile-based approaches and frameworks Benefits At R2Net- James Allen & Blue Nile, many of our roles offer a high-quality, comprehensive benefits package including healthcare, paid time off, retirement planning and opportunities for career advancement. Some offerings are dependent upon the role, employment type, work schedule or location: Paid time off Medical, Dental, Vision and Prescription Insurance 401(k) Retirement Plan with company match Flexible spending account Health savings account Tuition Reimbursement Employee discount Parental leave Life insurance Annual base pay: $130,000 - $170,000. Final pay rate shall be determined and is based on experience and qualifications. At this time, R2Net will not sponsor a new applicant for employment authorization for this position. Additional Information: R2NET INC. is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status or any other basis prohibited under applicable federal, state or local law. R2NET INC. will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. #LI-WK1

Title: Data Science and Analytics Location: New York City Duration: 3 months to perm Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements • Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we’re redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. About the Role We are seeking a highly strategic and execution-focused Director of Data Science and AI Automation to lead our data intelligence, machine learning, reporting, and automation ecosystem. This role will own the full lifecycle of data-driven decisioning, from ML model development to real time reporting to process automation using tools like n8n, Make.com, Azure Functions, and vibe-coding frameworks. You will oversee a multidisciplinary team spanning Data Science, Analytics Engineering, Automation Engineering, and ML Ops. You will partner closely with Engineering, Product, Operations, and Executive Leadership to build scalable, intelligent capabilities that directly improve business outcomes, drive automation, and enable AI powered experiences across the organization. Key Responsibilities 1. Data Science & Machine Learning Lead end to end development of predictive models, personalization engines, risk scoring, forecasting, and optimization frameworks. Oversee ML architecture, feature stores, pipelines, model retraining, validation, monitoring, and governance. Implement production grade ML Ops aligned with real time decisioning layers (Azure, Databricks, event-driven triggers, IOE). Build a roadmap for intelligent automation and generative AI powered capabilities. 2. Analytics, Reporting & BI Own the reporting and analytics stack across the company (Power BI, Snowflake, Databricks, APIs, data ingestion). Deliver executive dashboards, operational reporting, forecasting tools, and KPI measurement frameworks. Partner with Data Engineering to define data models, semantic layers, governance, quality checks, and observability. 3. Automation & Workflow Orchestration Lead design and deployment of automation initiatives using n8n, Make.com, Azure Logic Apps, Zapier, and custom Python workflows. Automate high value internal workflows across Operations, Care, Sales, Finance, and Engineering. Implement "vibe coding" automations, lightweight, rapid build, human in the loop AI automations that accelerate internal productivity. Drive adoption of event driven and AI-assisted process automation frameworks. 4. Leadership & Strategy Build and mentor a high-performing team of data scientists, ML engineers, BI analysts, and automation developers. Establish standards for experimentation, documentation, reproducibility, and operational excellence. Own the cross-company AI/automation roadmap, prioritization, resource planning, and execution. An advisor to executives on data strategy, AI capabilities, automation opportunities, and business impact. Qualifications 8+ years of experience in Data Science, ML, Analytics, or Automation roles, with at least 4+ years in leadership. Expertise in ML frameworks (Python, sklearn, PyTorch/TF, Databricks ML), modern BI environments, and automation tools (n8n, Make.com, Logic Apps, Airflow). Strong understanding of cloud ecosystems, Azure preferred (Event Hub, Service Bus, Functions, Databricks, APIM). Experience building automation and AI-powered workflows across operational departments. Proven record of owning a multi discipline team and delivering measurable business results. Excellent communication, stakeholder management, and executive facing leadership skills. Experience with generative AI, LLM integration, agentic workflows, or orchestration platforms. Strong understanding of data governance, compliance, security, and ML monitoring. Domain experience in healthcare, insurance, IoT, or consumer products is a plus Candidates must be authorized to work in the United States without current or future need for visa sponsorship. Must have the ability to work from our Philadelphia office on Tuesdays and Wednesdays. Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick Time Off & Holidays) Company Paid Short Term Disability and Life Insurance Retirement Plan (401k) with Company Match

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a seasoned leader to drive Data Science consulting engagements in the pharma and life sciences domain, with a strong focus on Agentic AI, Generative AI, and advanced analytics solutions. The role involves leading client discussions, designing AI-driven solutions, and guiding cross-functional teams in delivering end-to-end data science projects. Responsibilities: Lead data science consulting engagements for pharma clients, ensuring business impact and value realization. Architect and implement Agentic AI, GenAI, and advanced ML solutions tailored for pharma and healthcare use cases. Build and scale RAG pipelines, conversational AI, and multi-agent systems to solve complex client challenges. Partner with senior stakeholders to define data strategy, AI roadmaps, and transformation programs. Stay updated on emerging AI technologies, regulations, and best practices in pharma. Requirements 10+ years of experience in Data Science/AI consulting Proven expertise in Agentic AI, GenAI, LLMs, and advanced machine learning. Strong knowledge of pharma and life sciences domain Proficiency in Python, SQL, cloud platforms (Azure/GCP/AWS), and modern AI/ML frameworks. Experience in building end-to-end AI solutions (data engineering, model development, deployment). Strong consulting, client management, and stakeholder engagement skills. Advanced degree (Master’s/PhD) in Computer Science, Data Science, AI, or related field preferred. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Title : Data Science Lead Location : Los Angeles, CA Type : 3 + Months Rate : $Open (Best Possible) Core Requirements Bachelor’s degree in Computer Science or related field preferred. 7+ years of professional experience A focus on hardware is going to be key. Experience in GPU programming models, such as OpenCL or CUDA. Experience with cross platform model compilers like ngraph, XLA, TensorRT, etc. Systems-level experience with Linux Operating System. Previous experience leading assessments or evaluations (proof-of-concept type work). Strong communication skills are required as there is heavy client engagement on a day-day basis. Note: If interested please send your updated resume and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!

At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting-edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in driving the development of scalable ML infrastructure, production-grade models, and reusable frameworks that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will bridge quantitative research and technology, with deep understanding of fixed income markets and derivatives. You will act as a technical thought leader and strategic partner in shaping the direction of the organization’s machine learning investments, fostering a culture of rigorous experimentation, reproducibility, and responsible AI. Key Responsibilities: Design and deploy ML systems that solve high-impact business problems for critical workflows. Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling. Lead the adoption of emerging ML techniques and tools (e.g., generative AI, LLM fine-tuning, vector databases, RAG) through rapid prototyping. Partner with AI researchers and data scientists to translate experimental models into production-ready systems, supporting scaling and generalizability across business domains. Own the development of foundational models and platform capabilities that serve as building blocks for downstream AI applications across the organization. Ensure ML models are designed with safety, fairness, and transparency in mind, and aligned with internal governance frameworks and external regulatory standards. Collaborate with cross-functional leaders in engineering, product, and business teams to embed ML-driven decision-making into core processes and workflows. Continuously evaluate emerging ML techniques and tools, and champion their adoption through rigorous prototyping, benchmarking, and knowledge sharing. Define and manage metrics to evaluate model performance and business impact, ensuring ML projects meet both scientific and operational standards. Design ML-driven pricing models for fixed income securities, derivatives, and structured products. Mentor other ML engineers and data scientists, fostering technical excellence and a culture of innovation and collaboration. Requirements 8+ years of experience building and deploying machine learning systems in production environments, preferably in investment banking, fixed income trading, or hedge funds, ideally within enterprise or platform-scale settings. Proven track record of leading ML projects from ideation to production, including cross-functional collaboration and technical ownership. Deep expertise in supervised, unsupervised, reinforcement learning or statistical modeling. Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus. Proficiency in Python, along with modern ML and data stack tools (e.g., TensorFlow, PyTorch, scikit-learn, JAX, Ray, MLflow). Hands-on experience with MLOps principles and frameworks (e.g., CI/CD pipelines for ML, model monitoring, reproducibility). Strong understanding of cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI, or similar). Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions. Strong foundation in fixed income analytics, derivatives pricing, and risk management. Commitment to responsible AI, including model fairness, transparency, and compliance with regulatory standards. Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline preferred. Preferred, but not required: Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem. CFA or FRM certification Benefits Position Location This is a hybrid position based out of our New York, NY office. Compensation The base pay for this position is $290,000-300,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity USAA is seeking a talented Director, Decision Science Analytics to lead a team within the Life Company Data and Analytics Team. The Life Company Data and Analytics Team develops exciting and innovative analytical solutions and supports reporting, and artificial intelligence capabilities. This people leader role will lead a team of analysts responsible for Analytics for the Service, Annuity, and Health lines of business. This leader will work closely with our Life Company and other USAA business partners to develop forward-thinking and art-of-the-possible solutions to meet our member and business needs. Additionally, this people leader will ensure that the team continuously advances their data acumen and analytical skills for the future. As a Director, Decision Science Analytics you will lead and develop a highly analytical staff that provides decision support for business areas across the association. By serving as a strategic partner to the business this function will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based on the San Antonio, TX campus. Relocation assistance is not available for this position. What you'll do: As a strategic partner, leads or collaborates with other analytical leaders in executing the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches. Develops team reputation as highly skilled experts in the area of decision science support. Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations. Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts and provides business rationale and justification for additional needs. Understands the business direction, environment and strategies, to set the analytic direction and creates strategy to execute the approach that will influence business and drive change. Leads the effort and/or partners with analytics teams to build USAA core analytics capabilities and processes. Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Assigns and or Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making. Maintains and innovates knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge. Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g. Certifications or advanced coursework). Works with IT/CTO partners to advance new data and platforms that correspond to evolving skill sets. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree. (Total of 12 years of experience without bachelor’s degree) 8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function. 3 years of direct team lead or management experience. Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels. Modernizes knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. What sets you apart: US military experience through military service or a military spouse/domestic partner 3 or more years of experience formally leading a team of Decision Science Analysts and Business Intelligence Analysts Working knowledge of Annuity and Health products Knowledge of data and analytical capabilities available across USAA Association Advanced degree in in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline Ability to set and drive a data and analytics strategy that supports business objectives. Experience in addressing the needs of technical and non-technical stakeholders. Compensation range: The salary range for this position is: $164,780 - $296,610 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

DS position on a team in C323 supporting a project that leverages advanced AI techniques, including natural language processing, computer vision, and machine learning. The project streamlines the analysis of engineering documents, performs comprehensive system decomposition, and identifies potential vulnerabilities. The framework provides a holistic approach to understanding, managing, mitigating cybersecurity risks, but integrating mission and system decomposition, software bill of materials analysis, and enriching vulnerability discovery capabilities. 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.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.This role will act as a key leader of the DSA Product Development team. This role is responsible for providing data science expertise and resources necessary to build market-leading data products and analytic solutions on the Credit Risk Solutions (CRS) and Consumer roadmaps. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the “how”) to achieve objectives defined by Global Solutions stakeholders (the “what”). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across GTDA and Solutions. What You'll Bring: 15+ years’ experience in data science and analytics Masters degree strongly preferred Technical Skills : Advanced programming skills and aptitude; mastery of statistical programs such as R or Python; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools. Functional Skills : Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies : Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. Impact You'll Make: Develop generic scores, attributes, and other analytic solutions on the CRS and Consumer roadmaps, supporting all stages of the PDLC Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Proactively analyze alternative data assets and machine learning methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the CFLT and related Councils, advocate for innovative solution designs and approaches to enhance TransUnion’s long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $193,500.00 - $406,500.00 *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations.Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: VP, Data Science and Analytics Company: TransUnion LLC