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Data Scientist II, GPS India Operations T500-10229 - Hyderabad, India - Bristol Myers Squibb
Description
Working with UsChallenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department.
From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.
You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity.
Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment.
We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
Read more:
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 or Master's degree in an analytical, engineering, operations research or scientific discipline.
Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience.
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 major GPS applications (SAP, Oracle, LIMS, Infinity, MES) is a plus.
Experience with biotech product development, manufacturing operations, supply chain, and quality control is a significant plus.
Experience in the biopharma industry a plus.
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