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Metro location, generalist data scientist title, and broad technical requirements drive high candidate competition.
Requires life-sciences real-world data and commercial healthcare analytics, limiting cross-industry transferability.
Explicit 1-2 years plus required SQL/Python, ML, BI and life-sciences data skills raise shortlisting strictness.
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Lead complex analytics workstreams and develop high-impact analytical deliverables for life sciences clients focused on commercial analytics and business intelligence.
Design and execute analytics approaches including marketing and sales analytics, real-world data analysis, and dashboard/data visualization creation to support strategic and operational decisions.
Collaborate with case team leadership to translate ambiguous business questions into structured analytical plans and communicate insights to internal and client stakeholders.
Master’s degree in a quantitative field (engineering, computer/data science, statistics, mathematics) plus 1-2 years relevant experience, or PhD degree.
Proven expertise in processing and analyzing large datasets using SQL and Python/R/SAS; strong Excel skills are a plus.
Experience with cloud-based data/analytics platforms such as AWS, Azure, or Snowflake.
Proficiency in business intelligence tools (Tableau, Power BI, Qlik Sense) and experience with real-world healthcare/life sciences datasets (e.g., claims, EHR).
Experienced in commercial analytics within life sciences or healthcare, including marketing performance, sales effectiveness, and patient journey analysis.
Capable of independently structuring multiple analytics projects and delivering quality work under tight deadlines in a fast-paced consulting environment.
Strong communicator able to translate complex analytics into clear insights for non-technical audiences and comfortable working in global, hybrid teams.