Data Scientist II, BIA GPS India Operations

1 week ago

Hyderabad, Telangana, India Bristol Myers Squibb Full time

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

Summary:

The Data Scientist II will play a crucial role in supporting operational analytics across GPS to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The Data Scientist II should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing predictive models in the service of our patients around the world.

Roles & 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 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.
  • Work hours that provide sufficient overlap with standard east coast US working hours.

Skills and competencies:

  • Strong analytical thinking and problem-solving skills with the ability to analyse 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/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 a plus.

#GBOHYD #LI-Hybrid

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