Senior Associate Data Scientist at Capital One applying AI on large datasets for decision - making and customer engagement. Collaborating with teams to build innovative AI - driven solutions.
About the role
- Senior Data Scientist at Roche leading data science projects for healthcare analytics. Collaborating with cross-functional teams to drive strategic decision-making and optimize business outcomes.
Responsibilities
- Lead and manage end-to-end data science projects from problem definition to model deployment ensuring alignment with business goals and timelines
- Partner with cross-functional teams to define business requirements and deliver tailored analytics solutions
- Develop and maintain key stakeholder relationships to ensure effective communication and collaboration throughout project lifecycles
- Present analytical findings and strategic recommendations to business stakeholders, influencing data-driven decision making across multiple levels of the organization
- Collect, clean, and prepare large and complex healthcare-related datasets (product performance, patient data, operational metrics, etc.) for analysis
- Develop and implement statistical and machine learning models (e.g., multivariate regression, time-series analysis, XGBoost, clustering, classification, causal inference) to address complex business problems and uncover meaningful insights
- Utilize advanced data analytics techniques to explore and identify patterns, trends, and root causes, applying methodologies such as clustering, classification, and causal inference
- Build Econometric/market mix models (MMM), multi-touch attribution models (MTA), optimize marketing spend and come-up with implementable recommendations and strategy/plan
- Lead the development and implementation of advanced Media Mix Models to inform and optimize marketing spend across multiple channels (e.g., TV, digital, print, radio)
- Design and execute complex statistical analyses to evaluate the effectiveness of marketing strategies and optimize resource allocation
- Apply experimental design and A/B testing methodologies to validate and measure marketing and operational initiatives
- Develop and implement GenAI models and tools to solve business problems
- Deploy machine learning models in production environments, ensuring robust ML Ops practices for model monitoring, maintenance, and scaling
- Collaborate with IT and DevOps teams to streamline the integration of ML models into existing systems and workflows
- Translate complex data insights into clear and actionable business strategies that address stakeholder needs and expectations
- Mentor and guide junior data scientists, providing technical expertise and fostering an environment of continuous learning and improvement
Requirements
- You hold a bachelor's degree in Technology or a relevant discipline, with a preference for Computer Science, Software, Statistics, Data Science, AI, Machine Learning, Data Engineering and related fields.
- Preferably, you have a Master's degree
- Certifications in AI/ML, Data Science, or related technologies would be a plus
- You have 5-8 years of hands-on experience in data science, with proven experience in leading data science projects within the pharma/biotech/healthcare domain
- Strong proficiency in Python and SQL, with experience in data wrangling, feature engineering, and analytical model development
- Experience working in cloud-based environments (AWS preferred), with practical knowledge of GitHub and cloud computing workflows for data science projects
- Hands-on experience building models using algorithms and techniques such as multivariate regression, time series analysis, XGBoost, clustering, classification, OLS regression, Naïve Bayes, linear and time-decay attribution models, Markov chains, and Shapley value methods
- Experience in Multi channel Marketing Mix Modeling (MMM), or related fields, with a track record of delivering impactful results
- At least 4 years of strong experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, spaCy, NLTK, NumPy, pandas, and Spark
- Basic understanding of pharmaceutical datasets (e.g., IQVIA, SHA, Patients data) and familiarity with US healthcare markets would be a plus
- Strong analytical and problem-solving skills with a data-driven mindset.
Benefits
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist developing data pipelines and machine learning algorithms in an AI - focused team. Collaborating with engineers to drive data - driven insights in Guadalajara, Jalisco, Mexico.
Lead product marketing data strategy, ensuring quality data flows across all channels and supporting the Group's marketing performance on an international scale.
Data Scientist Intern supporting data analysis and machine learning in healthcare SaaS environment. Collaborating with experienced data scientists to enhance operational efficiency.
Data Scientist responsible for analytical insights in Lending Analytics and Credit Risk. Utilizing machine learning and data modeling to improve organizational impact while managing credit risk.
Data Scientist for Product Sustainability at Roche managing environmental data for sustainability reporting. Bridging Global Sustainability Experts and IT systems to ensure actionable insights for product emissions and compliance.
Staff Data Scientist guiding the implementation of machine learning models and deep learning tools at Blue Yonder. Collaborating with cross - functional teams to deliver retail solutions for data science and ML applications.
Data Scientist I developing AI solutions for a leading supply chain company. Innovating and collaborating on cutting - edge AI technologies within diverse teams.
Insights & Analytics Lead managing consumer insights and research projects at Kimberly - Clark. Leading strategic initiatives to drive value creation across Asia's markets.
Lead consumer insights projects and analyses across Asia for Kimberly - Clark’s Family Care brands. Drive strategies through deep understanding of consumer needs and market trends.