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

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

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.

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/

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

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.

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!

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

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

Associate Scientific Editor, Electrical Engineering or Data Science Are you super organized, skilled at planning? Do you have great reporting skills? About our team iScience is a peer-reviewed journal from Cell Press that provides a platform for original research in the life, physical, earth, social, and health sciences. We aim to fuel interdisciplinary thinking and consider research with significant contribution to a relevant field combined with robust results and underlying methodology. About the role We are seeking an editor with strong background in Electrical Engineering or Data Science to join our editorial team. In this role, you will help shape the journal by managing submissions, coordinating peer review, and engaging with the scientific community. You will work closely with a collaborative team dedicated to advancing open science and interdisciplinary research. We are looking for someone with a strong background in electrical engineering or data science, with excellent communication and organizational skills, and the ability to evaluate research critically while working effectively in a team. At iScience, we value diversity, equity, and inclusion. We welcome applicants from all backgrounds and experiences. If you bring curiosity, commitment, and a passion for science, we encourage you to apply—even if you do not meet every requirement. Please submit your CV and a cover letter explaining your interest in the role and how your skills and experience will contribute to iScience. Responsibilities Reviewing, evaluating, and providing constructive feedback on submitted manuscripts and research papers in electrical engineering, data science, machine learning, and related fields. Providing outstanding author service and overseeing the peer review process. Establishing relationships with scientists in physical science area through outreach to research communities and recruit exciting papers. Traveling to scientific conferences and visit academic institutes. Strengthening and building the visibility and reputation of the journal. Contributing to strategic planning and journal development with the editorial team. Building effective working relationships with colleagues across Cell Press and beyond. Contributing to broader Cell Press initiatives to shape the future of science communication . Requirements The ideal candidate will have a PhD degree in Computer Science, Data Science or Electrical Engineering field, with strong hands-on experience in coding, algorithm development, engineering principles, and analytical skills. Have research experience in a relevant field and a broad scientific interest, with a track record of peer-reviewed publications. Previous editorial experience, with a good understanding of all aspects of the journal publishing process, would be an added advantage but not an requirement. Utilize critical thinking and the willingness to learn and absorb new areas of research. Have teamwork and interpersonal skills with a collaborative problem-solving mindset. Interest in engaging with the scientific community. Able to work successfully both independently and in a diverse global team. Have a natural ability to engage, influence and build relationships with stakeholders, teams and our community. Have permit to work full time in US. This job will be US based hiring only. U.S. National Base Pay Range: $59,200 - $98,600. Geographic differentials may apply in some locations to better reflect local market rates. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you’ll do as a Senior Data Scientist, Football Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team . What you’ll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. 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 law shall be subject to criminal penalties and civil liability.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics Preferred location: Titusville, NJ ; Sping House, PA ; San Diego, CA or Cambridge, MA. Remote work considered on a case by case basis Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine. The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include: Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members. Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery. End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data (“RWD”) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Familiarity with drug discovery and the clinical development process Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #jrdds #JNJDataScience #LI-Remote #LI-GR Required Skills: Preferred Skills: The anticipated base pay range for this position is : $137,000 - $235,750 Additional Description for Pay Transparency: Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. * Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). * This position is eligible to participate in the Company’s long-term incentive program. * Employees are eligible for the following time off benefits: –* Vacation – up to 120 hours per calendar year –* Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year –* Holiday pay, including Floating Holidays – up to 13 days per calendar year –* Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Who we are looking for: We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML science team as part of the Agentic AI platform buildout. The Science pillar advances LLM research, fine‑tuning, evaluation frameworks, anomaly detection, and frontier model development—partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features. This role will focus on applied research and product-oriented data science requirements – designing and validating domain-specific LLM solutions, building evaluation taxonomies and metrics and operationalizing fine-tuning/tooling for business use cases. What you will be responsible for Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs LLM research and fine-tuning including evaluating foundational models, fine-tuning and prompt optimization with robust data curation and governance alignment Evaluation frameworks & taxonomies and Frontier model evaluation and buildout Develop and maintain knowledge graphs and embeddings for semantic search and reasoning Inference engine for scalable, low latency serving for tuned models, agentic workflows and cost optimization Collaborate with engineering teams to deploy scalable AI solutions in production environments. Conduct experiments and evaluations to benchmark model performance and ensure robustness Opportunity to Research, document and socialize Education & Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. 5+ years of experience in applied machine learning or NLP. Hands-on experience with LLM’s, GenAI or NLP at production scale Strong understanding of graph databases (e.g., Neo4j, RDF, DGL) and knowledge graph construction. Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn). Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices. Prior work on agentic AI is a big plus Salary Range: $120,000 - $202,500 Annual The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ. Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit https://hrportal.ehr.com/statestreet/Home . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement Job Application Disclosure: 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 law shall be subject to criminal penalties and civil liability.

About Us: Real Salt Lake, Utah Royals FC, Real Monarchs, and the RSL Academy are united by a shared mission of winning together through development. We are committed to building world-class teams by investing in people—developing players, staff, and leaders through collaboration, innovation, and a high-performance culture. If you’re passionate about sport, science, and leadership, we invite you to grow your career with Utah Soccer. Summary: The Director of Data Science & Performance Innovation leads a fully integrated high-performance data and sports science function across MLS, NWSL, MLS NEXT Pro, and Academy pathways. This role oversees all sports science operations, performance analytics, applied biomechanics, and data infrastructure, ensuring alignment of methodology, technology systems, and reporting standards across the organization. This position plays a critical role in supporting player availability, long-term development, and evidence-based decision-making by unifying performance data, monitoring practices, and return-to-play frameworks across men’s, women’s, and youth programs. The ideal candidate is a strategic leader with deep applied experience who can translate complex performance data into actionable insights while building scalable systems and developing high-performing staff. Responsibilities Include: · Lead and implement a club-wide data science and performance innovation strategy across Real Salt Lake, Utah Royals FC, Real Monarchs, and the RSL Academy, ensuring vertical alignment across MLS, NWSL, Next Pro, and Academy pathways. · Establish standardized methodologies for physical monitoring, testing protocols, biomechanics assessments, data collection, and reporting across all teams. · Oversee all sports science operations, including GPS/optical tracking, heart-rate monitoring, force plates, neuromuscular diagnostics, and speed-power testing, ensuring high-quality data and actionable insights. · Provide applied biomechanics leadership, supporting movement analysis, asymmetry profiling, deceleration mechanics, and sport-specific performance optimization across men’s, women’s, and youth athletes. · Design and maintain a centralized performance data infrastructure, overseeing data ingestion, cleaning, storage, and integration to ensure data integrity and accessibility. · Direct performance analytics and reporting, including dashboard development, benchmarking, workload modeling, longitudinal tracking, and applied machine learning initiatives. · Collaborate closely with medical and reconditioning teams to implement unified return-to-train and return-to-play (RTP) frameworks informed by biomechanical, readiness, and exposure data. · Translate complex data and scientific insights into clear, actionable decision support for coaches, medical staff, sporting leadership, and executives. · Lead, mentor, and develop sports science and performance analytics staff, including performance reviews, professional development planning, and seasonal staffing alignment. · Facilitate cross-department collaboration, ensuring alignment between sports science, strength & conditioning, medical, coaching, and technical leadership. · Evaluate and integrate emerging technologies and research, driving continuous improvement and innovation across all performance environments. · Promote knowledge sharing and best practices across teams, ensuring insights from MLS, NWSL, Next Pro, and Academy environments elevate the entire organization. · Perform other duties as assigned. Minimum Qualifications: · Bachelor’s degree in Exercise Science, Sports Science, Data Science, Biomechanics, or a related field. · CPSS certification required. · Minimum of 5 years of applied experience in elite football or comparable high-performance environments. · Advanced proficiency in R, Python, SQL, and data visualization platforms (Power BI, Tableau, Looker, or similar). · Extensive experience with GPS/optical tracking, heart-rate monitoring, force plates, neuromuscular diagnostics, and speed profiling. · Strong applied biomechanics expertise. · Demonstrated experience leading and managing multi-team or multi-disciplinary performance staff. · Exceptional communication skills with the ability to present complex information clearly to diverse audiences. · Proven experience managing, mentoring, and developing high-performance staff, including setting expectations, providing feedback, and supporting professional growth. · Ability to lead within complex, multi-team environments while maintaining alignment, trust, and accountability. Preferred Qualifications: · Master’s degree or PhD strongly preferred. · Experience leading integrated high-performance systems across men’s, women’s, and youth pathways. · Familiarity with machine learning concepts and applied modeling in elite sport. · Background in strength & conditioning, physiotherapy, biomechanics, or data engineering. · Experience designing large-scale performance data ecosystems and reporting infrastructures. Physical Demands & Environment: The job requires regularly lifting/pushing up to 10 pounds and occasionally lifting/pushing more than 25 pounds or exerting heavy force, in a wide disparity or environmental conditions. The job involves standing, stooping, bending, lifting, pushing, typing, etc. The Club 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Note: The need may arise to revise, supplement, or rescind portions of this job description, and the Club reserves the right to do so at any time. Employees shall be required to meet the qualifications and perform the duties of any revised job description.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health – Ophthalmology. This position can be located in one of our office locations in either Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25% domestic and international travel. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ . Role Summary We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for ophthalmology . This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact.You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with ophthalmic disorders. Key Responsibilities Define and execute the data science and digital health strategy for ophthalmology , integrating computational biology, AI/ML, digital health, and clinical/RWE insights. Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets. Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways. Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery. Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment. Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven science. Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational scientists to deliver on strategic initiatives. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required. 7+ years of experience as a people manager is required. Experience in clinical development with demonstrated expertise in ophthalmology preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required. Technical Expertise in as least two of the three following areas is required: 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods; 2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research. 3. Experience with large-scale clinical datasets, EHR, and real-world data and expertise in advanced modeling, longitudinal analysis, and patient stratification. Track record of scientific contributions (presentations and publications) in this field is required. Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required. Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus. Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required. This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego. May require approximately 25% travel domestic and international. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). • Employees are eligible for the following time off benefits:• Vacation – up to 120 hours per calendar year• Sick time - up to 40 hours per calendar year• Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year• Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL#JNJDataScience#JNJIMRND-DS#JRDDS#LI-Hybrid Required Skills: Preferred Skills: