Senior Data Scientist - Pharma

• Advanced programming knowledge in Python and SQL.
• Advanced knowledge in Probability and Statistics, including hypothesis testing.
• Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them.
• Advanced knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib.
• Experienced in modern development tools and writing code collaboratively.
• Intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms.
• Experienced in modern development tools, writing code collaboratively and developing solutions on cloud platforms.

• Ability to recognize and pursue pragmatic alternatives vis-à-vis a perfect solution, balancing priorities of time with potential business impact.
• Plan projects, break them down across individual data scientists in the team, track their performance and manage risks.
• Ability to storyboard an entire presentation to a non-technical audience.
• Ability to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions.
• Strong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations.
• Technical leadership and mentorship to the community of data scientists in the organization.

• Advanced understanding of Cloud technologies and experience of deploying applications on cloud.

• Ability to solution critical business problems into its component parts and match each such part with an appropriate technical approach.

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