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Procdna Analytics

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Lead Data Scientist

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Roles and Responsibilities :

    • Work with clients to translate business questions into well-scoped data science problems, and define the approach, data requirements and success measures.

    • Design and oversee ML solutions across the pharma commercial lifecycle, and choose methods that fit the data and the decision they support.

    • Own client communication and relationships, and provide thought leadership to support their business decisions.

    • Quality-check the team's work and guide models to production through cross-team collaboration.

    • Lead project delivery across timelines, scope and team allocation, often across parallel engagements.

    • Mentor and manage a team of data scientists, and keep yourself and the team current with advancements in the field for collective growth.

    • Contribute to business development and internal capability building through proposals, POCs and reusable offerings, and help the practice grow

Job Requirements :

  • 5.5-8 years of experience in healthcare or pharmaceutical industry with expertise in data science.
  • Strong proficiency in machine learning algorithms including classification, clustering, segmentation, modeling etc. .
  • Experience working with big data technologies like Hadoop/Hive/Pig/Spark is required.

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