Data Scientist II, BIA GPS India Operations

4 weeks ago

Hyderabad, Telangana, India Bristol Myers Squibb Full time

Transforming Patients' Lives through Science

Bristol Myers Squibb is a leading biopharmaceutical company that is dedicated to transforming patients' lives through science. We are seeking a highly skilled Data Scientist II to join our team and play a crucial role in supporting operational analytics across GPS to ensure products continue to serve the most pressing GPS analytics needs.

Key Responsibilities

  • Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers.
  • Collaborate with stakeholders to identify business problems, goals, and KPIs to design, establish, and maintain data pipelines, models, and business-facing reports and dashboards.
  • Design, develop, and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner.
  • Identify and implement enhancement and automation of high-value analytics while ensuring they continue to function efficiently.
  • Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis.
  • Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization.
  • Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation.
  • Provide training, guidance, and mentorship to junior analysts and team members when required.

Requirements

  • Strong analytical thinking and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions.
  • Agile problem-solving ability and desire to learn new things and continuously improve.
  • Proficiency in statistical analysis techniques and methodologies.
  • Strong project management skills and the ability to work independently or as part of a team.
  • Solid understanding of digital analytics tools and platforms and version control.
  • Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner.
  • Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations.

Experience

  • Bachelor's degree in operations research, industrial engineering, supply chain, chemical engineering, or bioengineering. Advanced degree (Masters/PHD) is a plus.
  • Proven experience (typically 3-5 years) in a hands-on working environment in operation research, supply chain, data analytics, and data integration.
  • Knowledge and expertise of analytical models such as linear programming, network optimization, goal programming, multiple objective optimizations, decision analysis, Markov decision processes.
  • Experience working with large datasets, data visualization tools, statistical software packages, and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau).
  • Experience with simulation software (SIMIO, Arena, etc.) or DES libraries (simmer, simpy).
  • Experience with biotech product development, manufacturing operations, supply chain, and quality control is a significant plus.
  • Experience in the biopharma industry is a plus.

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