Data Scientist - Digital Health

About the job

Key Responsibilities

• Design develop and operationalize a reusable and modular analytics platform and products partnering with solution architects data engineers and product team.
• Collaborate with data product team to define data requirements for analytics use cases.
• Collaborate with data engineering team to define and build data semantic layer on how data should be used for analytics including measures and ML features.
• Collaborate with business partners to define business problems and design and build advanced analysis and ML models that drive actionable insights from data to support business decisions
• Advocate and educate on the value of datadriven decisionmaking with a focus on solving problems
• Stay updated with ML/AI innovations and best practices and continue driving improvements of our analytics capabilities.
• Foster a culture of creativity collaboration speed innovation and engineering excellence.

Key Requirements/Qualifications

Minimum Qualifications

• Bachelors degree in statistics data science computer science or a related technical discipline.
• 2 years of handson experience in developing advanced analysis and ML models to solve business problems.
• 2 years of handson experience in MLOps and full life cycle of developing deploying and operationalizing analytics products
• Proficient in Machine Learning techniques such as classification regression anomaly detection optimization and predictive models on large scale datasets.
• Proficient in Python R and SQL
• Proficient in Dashboard/BI and Data visualization tools (eg. Tableau Quicksight)
• Thrives in dynamic crossfunctional team environments. Possesses a teamfirst mindset valuing diverse perspectives and contributing to a collaborative work culture.
• Approaches challenges with a positive and cando attitude. Willing to challenge the status quo demonstrating ability to understand when and how to take appropriate risks to drive performance.
• A passionate problem solver
• Demonstrated ability to efficiently learn and solve new business domains and problems
• Preferred Qualifications:
• Experience in health care and health care data
• Experience in developing analytics applications and products on AWS Azure or GCP

Lifelancer ( ) is a talenthiring platform in Life Sciences Pharma and IT. The platform connects talent with opportunities in pharma biotech health sciences healthtech data science and IT domains.

Please use the below Lifelancer link for job application and quicker response.

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Remote Work :

No