Data Scientist Role
At our company, we use real-time data to transform healthcare. Our team is at the heart of what makes us innovative and fast-paced.
We are seeking a skilled Data Scientist who will build, deliver, and continually innovate on our insightful data-driven solutions. You will work with large data sets, query the data, explore it, and come up with solutions using machine learning and statistical modeling.
- Data science and stats-related projects
- Help design and define methodologies for measurement products and user identification
- Improve quality of HCP onboarding / targeting / measurement
- Audience IQ / DTC product development, Identity graph / Data IQ
- Research and implement new data products or capabilities
- Synthesize raw data into actionable insights to drive business results, identify key trends and opportunities for business teams, and report findings in a simple, compelling way
- Evaluate and approve additional data partners or data assets to be utilized for identity resolution, targeting or measurement
- Act as Subject Matter Expert to help internal teams understand platforms, how to implement and troubleshoot
Required Skills and Qualifications
4-5+ years of experience in data scienceProven experience in experimentation methods and statistical modeling in support of product development and optimizationWorking knowledge of Distributed Systems and Cluster computing frameworks like Apache Spark, for large-scale data processing and machine learning with PySpark MLAbility to write robust, modular, production-ready code in Python and SQL, following best practices in OOP, version control (Git), and software design principlesExperience collaborating with other data scientists to design and productionize ML models and integrate them into end-to-end data systemsExperience building tools, frameworks and ETL / ELT pipelines to enable efficient data access, processing, and model deploymentAbility to work 2 : 30pm-11 : 30pm IST, fully remotelyBenefits
Competitive salaryOpportunities for growth and professional developmentFlexible work arrangements