About the Role
This role involves designing and implementing data models, conducting in-depth analysis, and translating findings into business recommendations. The individual will collaborate with engineering and product teams to drive data-informed solutions.
Responsibilities
- Develop and deploy machine learning models to solve business challenges
- Analyze large-scale datasets to uncover patterns and trends
- Collaborate with product teams to define key metrics and success criteria
- Design and run A/B tests to evaluate product changes
- Create data visualizations to communicate results to stakeholders
- Optimize data pipelines for efficiency and scalability
- Ensure data quality and integrity across systems
- Translate business questions into analytical frameworks
- Mentor junior team members on best practices in data science
- Stay current with emerging methodologies in machine learning and statistics
- Present findings to technical and non-technical audiences
- Contribute to the development of data strategy and roadmaps
- Work closely with engineers to integrate models into production systems
- Evaluate new data sources for potential integration
- Support the design of experiments and causal inference studies
- Use statistical techniques to validate assumptions and results
- Drive automation of reporting and analytics processes
- Identify opportunities for process improvement using data
- Maintain documentation for models and analyses
- Ensure compliance with data governance and privacy standards
- Collaborate on feature development using predictive analytics
- Assess model performance and recommend refinements
- Support ad-hoc analytical requests from leadership
- Integrate external data sources to enrich internal datasets
- Promote a culture of data literacy across teams
Nice to Have
- PhD in a relevant technical field
- Experience with distributed computing frameworks like Spark
- Background in personalized recommendation systems
- Published research in data science or machine learning
- Experience deploying models in production environments
- Familiarity with MLOps practices
- Knowledge of time series analysis
- Experience with mobile or web analytics
- Understanding of behavioral data modeling
- Prior work in health-related data science applications
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid
Team
Cross-functional team focused on data-driven product development
About the Role
This position plays a central role in transforming raw data into strategic insights. The data scientist will work across departments to identify opportunities where data can improve product outcomes and user experience.
Impact
Your work will directly influence product development decisions and help shape the future direction of data initiatives across the organization.
Available for qualified candidates
