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

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Analyst is responsible for data analytics that support the company's strategic objectives and contribute to the efficiency of their data science team. This role is very collaborative, working with a variety data science roles and business functions to design and implement data analysis, tools and reporting capabilities. Another area of responsibility is the cleansing, validation, and maintenance of data sources.As a Data Science Analyst, you will leverage your data analytics skills to translate business questions into actionable insights, support ongoing data needs, design tools to facilitate data-driven decisions and deliver high quality analytical solutions. This requires effective communication skills as well as continuous learning and development. Key Responsibilities: 70% Data Analytics- Collaborate with business stakeholders, data scientists, and business analysts to deliver high quality analytics solutions; Determine best method to gather, model, manipulate and present data; Interpret and translate results from complex analysis into understandable and relevant insights; Perform data analytics for a variety of business problems and opportunities; Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python; Evaluate, process, analyze and interpret statistical data 20% Management of Data- Collaborate with other analysts, data scientists and business partners to explore new sources of data; Cleanse, validate and test data; Standardize and maintain data sources used by the team; Gather, model and manipulate existing data using best practice methodologies 10% Technical Learning- Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Develop basic data science knowledge through self-learning initiatives and collaboration with team members Direct Manager/Direct Reports: This position reports to Manager of above This position has 0 Direct Reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Proven experience with data mining and data analysis Preferred Qualifications: Working knowledge of Microsoft Office Suite Working knowledge of Tableau Working knowledge of presentation software (e.g., Microsoft PowerPoint) Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.) or equivalent work experience 2-4 years of relevant work experience Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience with data visualization software (preferably Tableau) Exposure to statistics, predictive modeling and other data science methodologies Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 2 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented Business Insights Nimble Learning Self-Development Collaborates Optimizes Work Processes Plans and Aligns Communicates Effectively Customer Focus Drives Results

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America. We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands. Independence American Insurance Company (IAIC), a subsidiary of IPH, has over 50 years of underwriting experience and a history of innovation in the pet insurance industry. IAIC has built a reputation as a trusted and dependable partner. We are a pet-focused underwriter with deep insurance industry experience, offering a product with proven consumer appea l. Job Summary: IAIC is seeking a leader to advance its pricing sophistication and capabilities. This position provides an exciting opportunity to shape the future of pricing at the company and bring structure to the organization and new ideas to life in an area of insurance that is growing and maturing like no other. Job Location: Remote - This position is remote, and you will work from a home office. Occasionally, travel to the nearest office may be for in-person activities such as team meetings, training, and culture-building events. Prefe rence given if you are located near our New York or Phoenix offices. Main Responsibilities: Increase sophistication of risk modeling to increase accuracy and minimize subsidization in pricing manual to fullest extent possible while balancing regulatory and business requirements. Partner with business to develop full-stack lifetime values (LTV) and build a company wide KPI and reporting structure to operationalize LTV in decision making. Influence design and oversee execution of exploratory data analysis to understand the relationship between data elements and insurance processes such as pricing, conversion, and retention. Lead data and risk segmentation improvements including the use of external data. Stay abreast of industry trends and advance capabilities to monitor for emerging insights. Drive continuous improvement and innovation. Support product and rate filing needs throughout the product/filing lifecycles. Lead the advancement of competitive rating infrastructure, tools, and reports to inform market positioning. Lead a small team of data scientists and/or actuaries to develop, maintain , and improve models for rating, conversion, and retention across a portfolio of products. Communicate findings and recommendations to technical and non-technical audiences through reports, presentations, and visualizations. Collaborate with actuarial, underwriting, and other stakeholders across the organization to accomplish goals and objectives . Basic Qualifications: Bachelor’s degree in Data Science , Statistics, Mathematics, Actuarial Science, or a related field . Associate or Fellowship designation in the Casualty Actuary Society or Society of Actuaries is preferred. 7+ years of experience in the insurance industry, preferably in an actuarial or data science capacity. Experience in data manipulation and statistical analysis. Experience with prominent rating software used across the insurance industry (i.e., Radar, Emblem, Earnix ) Strong oral and written communication skills . Excellent problem-solving skills, critical thinking abilities, and attention to detail. Prior people management experience preferred #LI-DNI All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following: Comprehensive full medical, dental and vision Insurance Basic Life Insurance at no cost to the employee Company paid short-term and long-term disability 12 weeks of 100% paid Parental Leave Health Savings Account (HSA) Flexible Spending Accounts (FSA) Retirement savings plan Personal Paid Time Off Paid holidays and company-wide Wellness Day off Paid time off to volunteer at nonprofit organizations Pet friendly office environment Commuter Benefits Group Pet Insurance On the job training and skills development Employee Assistance Program (EAP)

Hourly Pay Range: $0.00 - $0.00 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Position Highlights: Position: Postdoctoral Fellow-Imaging Data Science Location: Evanston, IL Full Time Hours: Monday-Friday, standard business hours Required Travel: A Brief Overview: The Center for Basic MR Research is seeking a highly motivated Postdoctoral Fellow in Imaging Data Science with expertise in MRI, preclinical models, data analysis, and deep learning. The successful candidate will contribute to cutting-edge research at the intersection of imaging and data science, focusing on developing and applying advanced imaging techniques and analysis methods. Experience in MRI and a solid understanding of preclinical models is required, and the proficiency in deep learning algorithms for imaging data interpretation is desirable. This role offers the opportunity to work in a multidisciplinary environment, collaborating with experts in imaging, computational science, and biomedical research. Our research employs a wide array of methods, including high-field MRI imaging on a Bruker 9T scanner, chronic microelectrode implantation, slice electrophysiology, computational analysis, and 2-photon imaging on several preclinical models of brain injury. The Postdoctoral Fellow will report to the Director of NMR Research. What you will do: Undergo training and assist in performing standard laboratory and research procedures, including MR imaging, following strict adherence to established procedures or research protocols Maintain necessary medical records Perform a variety of research procedures Conduct MRI experiments combined with other approaches Perform advanced data analysis Help maintain equipment Prepare publications and presentations, and assist with proposals What you will need: Education: Doctorate Medicine Required or Doctorate Biology Required or MD Medicine Required or MD Biology Required or PHD Medicine Required or PHD Biology Required Experience: 3 Years of experience in professional research laboratory Skills: Experience with preclinical models Experience with Bruker imagers Experience with behavior testing Experience with anesthesia Computer programming skills (e.g., Matlab) and data processing experience Good organizational and time management skills Benefits: Career Pathways to Promote Professional Growth and Development Various Medical, Dental, Pet and Vision options Tuition Reimbursement Free Parking Wellness Program Savings Plan Health Savings Account Options Retirement Options with Company Match Paid Time Off and Holiday Pay Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals – Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) – all recognized as Magnet hospitals for nursing excellence. For more information, visit www.endeavorhealth.org . When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential. Please explore our website ( www.endeavorhealth.org ) to better understand how Endeavor Health delivers on its mission to “help everyone in our communities be their best”. Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information. Diversity, equity and inclusion is at the core of who we are; being there for our patients and each other with compassion, respect and empathy. We believe that our strength resides in our differences and in connecting our best to provide community-connected healthcare for all. EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor. #ZRNC #LI-JR2

Cytokinetics is a specialty cardiovascular biopharmaceutical company, building on its over 25 years of pioneering scientific innovations in muscle biology, and advancing a pipeline of potential new medicines for patients suffering from diseases of cardiac muscle dysfunction. We are seeking a highly motivated Intern to join our Global Supply Chain & Data Science group at Cytokinetics. Job Description: The Digital intern will engage with the Global Logistics function to enhance operational monitoring capabilities in the post-launch environment. This intern will deliver digital assets which increase the speed of Logistics decision-making, shorten the time needed to identify logistics exceptions, and reduce manual effort in Logistics reporting. The intern will primarily serve Logistics stakeholders, with secondary responsibilities in Planning, Finance, Clinical Supply Chain, Procurement, and Change Management. In accordance with team ways of working, the intern will also engage with the program management and portfolio team in order to properly register digital assets. The intern will be exposed to best-of-breed tools for data management, including Tableau, AWS Sagemaker, Postgres databases, and other technical products. They will utilize a technical skill set including SQL scripting for data modeling, Tableau visualization and dashboard building, and cloud data management. Additionally, the intern will employ softer skills such as change management, requirements gathering (translating technical work to a non-technical audience), and stakeholder presentations as the technical work is delivered to the functional teams. Requirements: The position requires a motivated individual with the ability to work independently and in a team environment. Additionally, we seek an individual with: Pursuing BS degree in Supply Chain, Industrial Engineering, Data Science or related area Proficient in data modeling using SQL; understanding of Python, R, or other scripting languages Experience with Excel and Tableau, including data organization, basic calculations, and development of dashboards and visualizations is a bonus Demonstrated ability to work collaboratively across teams and contribute to continuous improvement initiatives Strong analytical and problem-solving skills with the ability to support projects and meet defined deliverables Clear written and verbal communication skills, with the ability to summarize data and present information effectively Now is the perfect time for you to consider an Internship at Cytokinetics where you can put all of your skills to maximum use. When applying, please provide your spring break and summer availability. Cytokinetics is an Equal Opportunity Employer Pay Range: Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you. Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying. Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do – all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves. Fraud Warning: How to Identify Impersonated Cytokinetics Job Postings and Offers Recently, there have been fraudulent employment offers being sent to candidates on behalf of Cytokinetics. Please be advised that all legitimate offers from Cytokinetics will come directly from our official email domain (Cytokinetics.com) and will only be made after completing a formal interview process. Here are some ways to check for authenticity: We do not conduct job interviews through non-standard text messaging applications We will never request personal information such as banking details until after an official offer has been accepted and verified We will never request that you purchase equipment or other items when interviewing or hiring If you are unsure about the authenticity of an offer, or if you receive any suspicious communication, please contact us directly at talentacquisition@cytokinetics.com Please visit our website at: www.cytokinetics.com Cytokinetics is an Equal Opportunity Employer

Supporting X323 Tradecraft innovation team - Experience creating analytics leveraging Access Discovery and CNE experience is required. Will need to have familiarity with AMOD query tools. 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.

ABOUT THIS POSITION Data Science Platform EngineerWe are looking for a Data Science Platform Developer that will help us build out the platform that supports the training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation. WHAT YOU'LL DO Responsibilities: Develop and enhance the machine learning platform to manage the full model life cycle Build frameworks and tools to enable the data science team developing and enhancinge predictive model support scalable real-time predictions in production Design and implement data engineering solutions for model training Expand NLP capabilities with advanced analysis techniques to improve text understanding Design and implement high-performance, scalable services and applications Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation Understand and adhere to development standards for consistency across teams Perform in-depth technical and performance analyses to troubleshoot production issues Monitor and maintain production systems for reliability and efficiency WHAT YOU'LL NEED What You’ll Need Minimum Requirements (Education, certifications and experience): Bachelor’s degree in Computer Science or related area 3+ years of professional experience writing Python or Java code Intermediate proficiency with SQL Experience with CI/CD and automated testing Comfort working in a Linux environment Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing Professional experience with Docker, Kubernetes, relational databases (PostgreSQL preferred), REST API design, and microservices application architectures Experience with public cloud solutions, such as AWS or GCP Team player DNA with a positive, self-starter attitude Attention to detail, highly organized, with an absolute focus on quality of work Preferred Requirements: Professional experience with MLOps, Kafka Familiarity with ClearML, Triton, PyTorch, and TensorFlow Familiarity with statistics and healthcare domain Proven expertise in successful large project/build management and execution Demonstrated ability to manage multiple work streams simultaneously and efficiently ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter. WAYSTAR PERKS Competitive total rewards (base salary + bonus, if applicable) Customizable benefits package (3 medical plans with Health Saving Account company match) We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays Paid parental leave (including maternity + paternity leave) Education assistance opportunities and free LinkedIn Learning access Free mental health and family planning programs, including adoption assistance and fertility support 401(K) program with company match Pet insurance Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

About Us: HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. Who You Are As Sr. Director, Data Science at HighLevel, you turn data into foresight. You lead the modeling, experimentation, and analytics disciplines that transform how the company understands customers, measures product impact, and drives growth.You see patterns in behavior, not just in data. You connect signals across millions of users to predict outcomes, optimize experiences, and guide decisions. You are equally comfortable in code and strategy, designing experiments one day and framing their business impact the next.You build high-performing teams that blend data science, applied ML, and product analytics, and you partner closely with Product, Growth, and Engineering to embed intelligence directly into the platform. You understand that data science is not a back-office function; it is how HighLevel learns, adapts, and scales. What You’ll Lead Own HighLevel’s end-to-end data science and product analytics strategy, focused on modeling, experimentation, and insight generation, built on the company’s governed data platform. Build and lead a global team spanning data science, applied ML, decision science, and product analytics, partnering closely with data engineering and platform teams to ensure scalability and reliability. Collaborate cross-functionally with Product, Growth, Marketing, and Engineering to ensure experiments, models, and insights directly inform product development, GTM decisions, and customer outcomes.Leverage the modern data stack (Snowflake, dbt, Atlan, Hex, etc.) to enable advanced analytics, causal inference, and machine learning at scale. Lead Product Analytics and Experimentation Oversee product analytics, defining how user behavior, engagement, and retention are measured, instrumented, and interpreted. Build and scale experimentation and A/B testing frameworks, ensuring statistical rigor and consistent methodology across 50+ product and marketing teams. Establish self-serve experimentation tools and centralized KPI definitions to accelerate data-driven product development.Partner with product leadership to translate analytics insights into roadmap prioritization, UX improvements, and feature impact assessments. Develop and Deploy AI & ML Solutions Design, train, and productionize predictive and prescriptive models that optimize retention, churn, pricing, lead scoring, and campaign automation. Collaborate with platform teams to build and maintain feature stores, model registries, and evaluation pipelines for reproducibility and compliance. Integrate machine learning and generative AI into the HighLevel platform to enhance personalization, automation, and user productivity. Define and monitor model performance metrics (e.g., precision, recall, uplift, business ROI) and ensure continuous retraining and quality control. Enable Data-Driven Growth Partner with GTM, Finance, and Operations to quantify the impact of models, experiments, and analytics on revenue, efficiency, and customer lifetime value. Deliver predictive dashboards, simulations, and causal analyses that complement BI reporting and drive strategic decisions.Build forecasting and optimization systems that connect directly to core business metrics like MRR, churn, LTV/CAC, and NPS. Provide the analytical backbone for IPO-readiness through measurable, model-driven insights and defensible forecasting. Drive Operational ExcellenceDefine success metrics for all data science and analytics initiatives and track performance against strategic goals Collaborate with the data platform organization to ensure model governance, lineage, and data quality are enforced within existing pipelines. Evangelize statistical literacy, experimental rigor, and causal thinking across all functions to raise decision-making maturity company-wide.Foster a culture of curiosity, reproducibility, and accountability in every analytics and modeling effort. What You’ll Bring 12+ years in data science, analytics, or ML roles, including 5+ years in senior leadership within SaaS or B2B2C companiesProven track record establishing and growing data science and product analytics teams that translate governed data into actionable models, experiments, and insights driving business growth. Expertise in Python, SQL, R, machine learning frameworks (TensorFlow, PyTorch), with strong applied experience in experimentation, causal inference, and model evaluation Proven experience leading product analytics, defining instrumentation, event taxonomies, and metric frameworks that tie directly to user behavior and product outcomes Deep understanding of A/B testing, causal inference, and experimental design at scale (50+ teams, automated frameworks) Experience operationalizing models with shared feature stores, model registries, and automated retraining pipelines in partnership with data engineering Experience developing AI-driven product features and operationalizing ML models at scaleStrong understanding of experimentation, attribution modeling, and business intelligence systems Strategic communicator with the ability to translate complex data into compelling business narrativesExperience supporting IPO readiness or large-scale data governance a major plus EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision. #LI-Remote #LI-NJ1 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.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 50% People Management & Team Leadership- Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments 15% Program Management- Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs 25% Strategy & Business Development- Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management 10% Technical Exploration & Development- Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position reports to Director or above This position has Direct Reports and manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Demonstrated proficiency in predictive modeling, data mining and data analysis Proficient managing and growing team members in a professional setting Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting Demonstrated experience with translating high level strategy to tactical execution Preferred Qualifications: 11+ years of experience in business intelligence and analytics Previous people or project team management experience Demonstrated expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Machine Learning experience Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

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.

Job Description Who We Are Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain's New York Business and Los Angeles Business Journal. Together we are building a place of belonging. At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together. Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow. What Is blu. blu. is Horizon's omni-marketing capability that is powered by a Connected Marketing Platform, built in-house from the ground up. The foundation of this platform is an Identity Framework built upon our relationship with TransUnion, whose PII data acts as our identity spine. By integrating with agency partners who have deterministic data assets we have licensed and attached 11K+ attributes to bridge the gap between martech and adtech to deliver a true 360 consumer view. This enables brands to engage customers and prospects across all journeys. Our portfolio of solutions and products are designed to complement a clients' existing tech. Proprietary insights tools enhance profiles with psychographic attributes and custom models identify and assign propensity against audiences based on KPIs. We have a central, connected, user-friendly platform for insight development, audience creation and activation. Our Solutions & Services are built on top of the Connected Marketing Platform offering bespoke capabilities across business strategy, planning, activation, measurement and optimization. Job Summary The Associate Director, Marketing Sciences is at the center of data, media and brand strategy. They act as a day-to-day contributor on specific client teams and focus on the generation of insights to inform audience strategy for planning and analysis of performance and optimizations while campaigns are still inflight. Key responsibilities are working with big data (data extraction & transformation) as well the application of advanced statistics and machine learning techniques to accomplish a variety of innovative and investigative projects on behalf of Horizon agencies and their clients. The role requires hands-on analytics expertise and client-facing solution design and will influence Horizon data strategy and product direction. This role often requires an ability to work cross-functionally with Client Architects and other teams key to data acquisition through client presentation, as a result, a collaborative spirit and strong communication skills are required. They will be expected to become expert in data assets within Horizon's proprietary Connected Marketing Platform called blu. and take ownership of specific data sources and client accounts. Responsibilities 40% Technical & Analytical Excellence Advanced knowledge of dimensions & metrics (people based, behavioral and media data) Ability to understand and make sense of the relationships/connections across datasets Knowledge of the data dictionaries and taxonomies of structured data sets Experience in ML and different techniques of supervised and unsupervised learning ETL & EDA processes Understanding of the complexity of working with Big Data 40% Solutions Design & Innovation Ability to understand and leverage blu. structured and unstructured data Data transformation/mining and generation of insights to explain audience performance and inform optimization Data join process between blu audiences, media exposure and conversion events to build feedback loops Analysis of audience conversion to KPIs Model creation to estimate contribution of attributes driving conversion Validation of models used during the Audience Building process Assessment of audience duplication and incrementality by channel, partner, or tactic User/log level data extraction from delivery sources to create new audiences based on exposure to manage frequency Database(s) querying to extract exposure events and create a new audience based on exposure by paid media channel (digital or linear) Problem solving and development for new modeling and analysis techniques Increasingly utilize AI solutions to inform and expedite some or all of the required analysis 15% Product Innovation & Management Operate as a Product Innovator and become a Product expert and power user, to drive continuing improvement in both in the analysis and results being supported by AI and the continuing custom solutions built on top and around those Experience with the ongoing operation and support of a Product in development and/or production Ability to ensure design principles that scale and can be repeatable and/or extensible to other clients or industries Experience with release management processes, including all levels of testing (Alph, Beta, QA, UAT) Ability to define features, models, queries and requests and provide "proof of concept"s for Product enhancement and future incorporation into blu+ product 5% Leadership & Team Management Act as a collaborative partner to the business and all stakeholders Participate in daily standups and meet delivery commitments Proactively identify and, when required, escalate issues and blockers striving to avoid business/client impact Work with Client Architects and Data Solutions to outline work required to fulfil requests and generate outputs Provide input to team training and development needs Qualifications BS/BA degree in Computer Science, Statistics, Applied Mathematics, or a related field required. Advanced Statistics a plus. 3+ years relevant experience, preferably in a media, marketing or digital advertising environment. Working knowledge of Big and basic data mining routines a must. Expert knowledge of SQL/Python /R knowledge a must. Knowledge of GitHub a plus. Machine Learning a plus. Solid understanding of data technology integrations across data sources and ecosystems, and ability to troubleshoot. Experience working with digital analytics and audience insights reporting (Campaign Manager/ GA/ Adobe/GA360) - a plus. Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision. A team player who can work collaboratively within the group and across business units/functions. Excellent organizational, communication and interpersonal skills. #LI-KG1 #LI-HYBRID #HM Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $125,000.00 - $165,000.00 A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Adjunct Assistant/Associate Professor- Health Data Science and Artificial Intelligence Applications in Medicine Department of Health and Clinical Outcomes Research Saint Louis University School of Medicine Position Summary The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine. Primary Responsibilities Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum: Privacy, Ethics, Regulation & Policy Introduction to Artificial Intelligence Predictive Modeling and Machine Learning Image Processing and Deep Learning Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models Reinforcement Learning for Clinical Decision Making Telehealth & Telemedicine AI for Precision Medicine & Genomics & Diagnostics Research in Medicine Additional responsibilities include: Develop and deliver engaging, practice-based course materials. Mentoring students on applied research and analytics projects using real-world datasets. Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics. Participating in departmental meetings or student events, as appropriate for adjunct appointments. Qualifications Required: Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field. Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics. Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS). Strong communication skills and a commitment to high-quality, student-centered graduate teaching. Preferred: Experience teaching graduate courses in AI, data science, or health informatics. Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts. Familiarity with regulatory, ethical, and equity considerations in digital health and AI. Record of scholarly or professional contributions in data-driven healthcare innovation. Appointment Details Type: Adjunct, non-tenure track Rank: Assistant or Associate Professor (commensurate with qualifications) Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available) Start Date: Ongoing recruitment for upcoming academic terms Application Instructions Interested applicants should submit: A cover letter outlining teaching interests and relevant experience Curriculum vitae (CV) Contact information for three professional references Applications will be reviewed on a rolling basis until positions are filled. Function Faculty- Adjunct Scheduled Weekly Hours: 20 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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: People Leader All Job Posting Locations: Horsham, Pennsylvania, United States of America, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health- Therapeutics Development & Supply (TDS) This position can be located in Spring House, PA; Malvern, PA; Horsham, PA; or Beerse, Belgium. For candidate based in EMEA with interest in working in Beerse, please apply to requisition: R-047946 Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science- DPDS 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 Role Summary Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing & Controls (CMC), Device Development, and Clinical Supply Chain. This organization ensures that every molecule, modality, and delivery system is robustly developed, scaled, and supplied under rigorous quality and regulatory standards. We are seeking a Global Head of Data Science & Digital Health- TDS to enable and embed AI/ML and advanced analytics into the core of drug development and supply. In close partnership with TDS teams and the broader DPDS organization, this leader will transform process design, scale-up, and clinical supply optimization into data-driven engines of speed, reliability, and compliance across all modalities-small molecules, biologics, and cell & gene therapies. By championing digital twins, predictive modeling, and GenAI-powered knowledge acceleration, this role will industrialize development processes and strengthen J&J's leadership in innovative medicine through deep collaboration with TDS functions, JJT, and enterprise data/AI partners. Key Responsibilities Strategy & Portfolio Leadership: Partner to define and execute the TDS Data Science strategy aligned to TDS/DPDS priorities; build a multi-year roadmap for data, analytics, AI/ML (incl. GenAI); manage portfolio prioritization, funding, and value realization. CMC, Product & Process Development: Enable scientists and engineers to build and expand scientific models by providing an ecosystem of tools, standards, and scalable capabilities. Support citizen data scientists and DOS teams within TDS through training and frameworks, ensure model governance and interoperability, and create pathways to scale models for broader utilization and reuse. Provide expert guidance and advanced data/modeling support where needed, while fostering collaboration across TDS modalities, DPDS, and the broader R&D organization. Device/Combination Product & Platform Engineering: Apply reliability modeling, image/signal analytics, and simulation to device/combination product performance and manufacturability. Clinical Supply Chain Analytics: Build forecasting, simulation and optimization engines for clinical supply, IRT signal integration, and risk-based inventory strategies; develop scenario planning/digital twin for clinical supply networks. Platforms, Data & MLOps: Co-own with DOS and JJT the data and ML platform architecture, MLOps, model monitoring, and governance for GxP contexts. GenAI & Knowledge Acceleration: Lead targeted use of GenAI/LLMs for technical documentation, regulatory authoring aids, and knowledge acceleration. External Innovation & Partnerships: Scout and partner with academia/startups/CROs on cutting-edge discovery, development and manufacturing analytics. People & Community Leadership: Build and lead a global team of data scientists, AI/ML engineers and applied statisticians; upskill TDS Scientists and Engineers with Data and AI/ML fluency. Quality, Safety & Compliance: Ensure data integrity, model validation, computerized systems compliance, and transparent model interpretability in regulated environments. Qualifications Required: PhD (or equivalent experience) in Chemical/Biochemical Engineering, Bioinformatics Pharmaceutical Sciences, AI/ML, Applied Math/Statistics or related field. 15+ years applied data science/AI leadership in biopharma development/CMC and/or clinical supply, including experience leading multi-disciplinary teams in a matrix setting. Demonstrated outcomes in process and analytical development or clinical supply analytics. Fluency with modern ML techniques, and MLOps on cloud platforms; experience integrating with LIMS/ELN/MES. Proven ability to synchronize tech and data science roadmaps, and drive portfolio value realization. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Preferred: Experience across multi-modality portfolios (small/large molecules, cell & gene). Familiarity with GenAI/LLMs in R&D settings, agents, and AI deployments in a regulatory setting. Prior collaboration with External Innovation partners in development/manufacturing technologies. 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 #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

Make your mark for patients To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Analytics Lead opening. This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices, requiring 40% onsite presence. This role can be hybrid (40% on site precence in Atlanta, Raleigh or Boston) or Remote (up to 20% onsite presence) and requires 5-10% international/ domestic travel. About the role You will help to inform on the commercial viability of various assets in development. You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs within Patient Solutions and Patient Evidence. Who you'll work with You will co-create with Integrated Insights Leads from early asset and late stage (Phase 0-3) teams, Real world evidence teams, Translational Medicine and Bioinformatics, Clinical operations, clinical recruitment, and asset teams, new product planning teams, Commercial teams, Medical Affairs, Market Access, Finance, and IT. Externally, you will work with data and analytics vendors and partners. What you'll do Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact Deliver the most impactful data and analytics projects that: address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information Partnership and Collaboration: Be the key strategic partner for functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Patient Solutions and Evidence Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources. Team Leadership. Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations Drive the execution of regional and local data-driven insights research and data analytics plans and priorities Foster a strong data science community with significant business acumen and communication skills across Hubs and Engine and Supervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results. Improve the team's partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by: developing and executing a communication and collaboration plan with key UCB stakeholders increasing personal and the Advanced Analytics team's knowledge of the business by ensuring that she/he and each team member has direct interaction with patients and/or other external stakeholders Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members Drive deep partnership with the Hub insights team and other "fellow" Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights Be a champion for a data-driven, decision-making culture Interested? For this role we're looking for the following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is required Minimum of 8-10+ years of experience developing program/project plans and leading programs/projects from initiation to implementation is required At least 8 years of experience working with real world data (Claims data, EMR, IQVIA, -omics, etc) Minimum of 8-10+ years of experience with programming and application development using Python or R is preferred Preferred Experience/Skills: Master/Doctor's degree in quantitative area Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments Deep expertise in leveraging data science methodologies within the Research and Development and Clinical trials sphere of the pharmaceutical industry. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges You are a structured problem solver Possess an 80/20 mindset to push for fast model iterations Interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation) Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours) Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities. Unless explicitly stated in the description, this role is hybrid with 40% of your time spent in the office, regardless of your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. Requisition ID: 91962 Recruiter: Parth Suthar Hiring Manager: Eric Dickinson Talent Partner: Cornelius Luedtke Job Level: MM I Please consult HRAnswers for more information on job levels.

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

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. Xometry is looking for a highly analytical and data-driven Senior Product Analyst with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap. Responsibilities: Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement. Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis and other experiments. Define clear hypotheses, target segments, and success metrics. Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights. KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms. Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders. Collaboration: Work closely with product managers, engineers, designers, and machine learning scientists to implement and iterate on experiment findings and product improvements. Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership. Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation. Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices. Qualifications: Bachelors Degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline 6-8 years of relevant experience. Strong proficiency in data analysis, statistical modeling, and data visualization. Proven experience in designing, implementing, and analyzing A/B tests and other experiments. Solid understanding of statistical significance and hypothesis testing. SQL is a must. Python is nice to have. Any experience with Looker is also desirable. Knowledge of data science concepts and methodologies. Excellent communication and presentation skills, with the ability to explain complex data insights. Strong analytical and problem-solving skills. Experience working in a product-driven environment. Attention to detail and a commitment to data accuracy. The estimated base salary range for new hires into this role is $140,000 - 182,000 annually + commission depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #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.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid 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. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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

We're looking for a new leader in our data organization to guide and grow our product data science team at Spring Health. This is primarily a coach role: you'll spend a majority of your time on leadership, team enablement, and cross-functional strategy, with the opportunity to get hands-on with strategy and analysis for the most critical initiatives. You will lead product data science across our R&D organization, spanning both our member-facing and provider-facing experiences, with a focus on discovering growth opportunities through experimentation and enabling the broader R&D team to execute on them. You'll help refine and operationalize our metric tree, with a particular focus on acquisition and activation across the full ecosystem of how members find care and how providers deliver it. Your work will help more people who need care successfully get into and stay in care long enough to get better, in line with our mission to remove all barriers to mental health. What you'll be doing Work with R&D leaders to set the vision for how product data science drives growth, especially in our acquisition and activation funnels. This includes how we use experimentation, causal inference, and behavioral analysis to identify and prioritize the most impactful opportunities. Partner with Product, Design, and other R&D teams to refine and align on our metric tree, ensuring we are focused on the right measures of success and can clearly see the impact of our work. Design and continuously refine how the product data science team operates within R&D: roles and responsibilities, collaboration models, team rituals, and how we partner with other data and R&D teams. Manage and develop a team of data scientists supporting multiple areas within R&D. This includes 1:1s, performance reviews, feedback, and clear growth paths that build both technical and product/strategy skills. Work with your team and cross-functional partners to design and maintain experimentation and measurement frameworks (e.g., clear hypotheses, guardrail metrics, success criteria) that can be reused across R&D and make it easier to run high-quality tests. Collaborate with Data Analytics and Analytics Engineering to ensure that our metric tree and core growth KPIs are implemented consistently in our data models, documented clearly, and easily accessible across the company. What success looks like in this role: Your team regularly identifies high-quality growth opportunities through experimentation and analysis, and partners with R&D to execute on them, leading to meaningful improvements in key product and member outcomes. Experimentation continues to grow as a core part of how R&D operates: tests are well-designed, results are clear and actionable, and learnings are documented and reused across teams. Your data scientists grow in both impact and independence: they are trusted partners to their stakeholders, they take on increasingly strategic work, and they help shape roadmaps rather than only responding to requests. What we expect from you You are passionate about changing the face of mental health care and Spring Health's mission to remove all barriers to mental health resonates with you. You have substantial experience (typically 10+ years) working with data in analytics or data science roles, with a strong focus on product and/or growth for digital products. You have experience (typically 3+ years) experience managing and mentoring data scientists or product analysts, including responsibility for performance, career development, and hiring. You have deep experience using experimentation to drive growth: defining hypotheses and KPIs, designing and interpreting A/B tests and other experiments, and translating results into clear recommendations for product and business partners. You are comfortable owning and refining a metric tree / KPI hierarchy, and you can bring stakeholders together around shared definitions and measures of success. You are deeply fluent in growth thinking: you're comfortable mapping acquisition and activation funnels, identifying friction points, and using tools like funnel analysis, cohort analysis, and growth loops to find and size opportunities. You have experience using modeling and causal inference (e.g., drivers analyses, uplift/propensity models) to identify what's truly driving key metrics and where to focus experiments. You're comfortable diving into SQL and Python code when needed to sanity-check data, review your team's work, and give clear technical guidance. You have experience working with a modern data stack (for example, a cloud data warehouse, dbt, and a BI tool like Looker) and understand how good data modeling and a strong semantic layer enable consistent metrics. You have strong user and stakeholder empathy: you can understand the challenges facing R&D teams and translate them into data science projects and experimentation roadmaps that meaningfully improve how we get members into care. You are humble, highly motivated, and thrive in fast-paced, ambiguous environments. You see process and structure as tools to enable impact, not ends in themselves. The target base salary range for this position is $190,000 - $232,500 and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type. Employer sponsored 401(k) match of up to 2% for retirement planning A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents. We offer competitive paid time off policies including vacation, sick leave and company holidays. At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents. Access to Noom, a weight management program-based in psychology, that's tailored to your unique needs and goals. Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses. Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care Up to $1,000 Professional Development Reimbursement a year. $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a marketing professional with a technical background to join our product marketing team. In this role, you will help data scientists and data engineers realize the value of accelerated computing for data science, data analytics, and machine learning. You will develop and drive strategic marketing initiatives that grow the adoption of accelerated data processing using NVIDIA's key software and hardware platforms. Are you familiar with the data science and database ecosystem, its personas and their workflows? Are you aware of key use cases, segments, and common algorithms used across targeted industries, such as financial services, retail, manufacturing, and scientific computing? If so, this role may be right for you! What you'll be doing: Lead positioning, messaging and launches for key data science and processing products Develop technical content such as blogs, videos, and presentations to help data scientists embrace NVIDIA's SDKs Support go-to-market for NVIDIA hardware platforms for data processing as part of cross-functional team Conduct competitive and ecosystem analysis to develop positioning and focus promotion Engage with the data science community directly and present key technologies at events Derive insights from customer adoption trends and share with internal teams What we need to see: 8+ years' experience with launching, go-to-market and scaling technical product adoption for data scientists or developers. Bachelors degree in a scientific or technical field (or equivalent experience). Knowledge of data science packages and machine learning frameworks. You love and thrive in a cross-functional organization, by collaborating with peers across teams and functions. Excellent written and spoken communication skills. Experience presenting at meetings, conferences, and webinars. Strong grasp of content marketing and social media methodologies. Comfortable reviewing Python code used in presentations, demos, and articles. Ways to stand out from the crowd: Clearly communicate your understanding of NVIDIA's strategy and technology. Measurable impact (metrics, awards, key accomplishments) you can share. Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.