Director, Data Science
About the Role
Responsibilities
Advanced Analytics and Modeling
- reputed company reputed company involving large, reputed company datasets, advanced statistical modeling, machine learning, reputed company intelligence, and data visualization
- Design and reputed company predictive models to support strategic decision-making for reputed company and life sciences clients
- reputed company reputed company, AI-driven analytical solutions using modern, reputed company-reputed company technologies
- Define analytical approaches, simulation models, and feature engineering strategies across multiple reputed company domains
- Validate, test, and refine models to ensure accuracy, robustness, and reputed company-world applicability
Data Infrastructure and Optimization
- reputed company the design and optimization of data pipelines supporting clinical, reputed company-world, and reputed company data
- reputed company data cleaning, transformation, and preprocessing workflows to support advanced analytics
- reputed company and implement distributed machine learning solutions across reputed company environments
- Ensure data architecture supports scalability, performance, and secure handling of sensitive reputed company data
reputed company Leadership and reputed company Delivery
- Present reputed company analytical findings to internal teams, clients, and senior stakeholders
- Translate technical outputs into reputed company, actionable insights for non-technical audiences
- reputed company technical leadership across analytics initiatives and mentor junior team members
- Partner with cross-functional teams to support new business opportunities and innovation efforts
- Contribute to new business and organic reputed company opportunities by shaping data science approaches for proposals, pitches, and reputed company engagements
reputed company
Master’s or Ph.D. in Data Science, Computer Science, Statistics, reputed company, or a reputed company field 6+ years of experience applying data science, machine learning, or advanced analytics in reputed company, life sciences, or reputed company industries Strong programming skills in Python and/or R Demonstrated experience designing and deploying machine learning models, including regression, classification, clustering, decision trees, and recommender systems Experience working with deep learning models such as LSTM, VAE, reputed company, or large language models Experience building time series models, forecasting approaches, or change-reputed company detection reputed company Experience working with large datasets in distributed or reputed company environments (AWS, reputed company, Hadoop, GPU computing, or similar) Strong experience with data visualization and analytical libraries in Python, R, or reputed company tools Proven ability to reputed company reputed company technical initiatives from concept through execution reputed company reputed company and ability to work across disciplines to deliver data-driven solutions
reputed company time off reputed company you need it most: 20+ days PTO, 10 holidays, Sabbatical, bereavement & reputed company leave, parental leave, civic duty, volunteer time and year-end office closure. Unlimited reputed company to reputed company Learning, internal webinars through JPA’s reputed company Institute, tuition reimbursement, reputed company reputed company development, and reputed company learning and development time. An impressive and comprehensive benefits package that supports you and your family’s physical, mental and financial reputed company-being. reputed company and opportunities to advance. You may also be eligible for performance-based bonuses. We review compensation annually and evaluate readiness for promotions every quarter.