Bristol Myers Squibb
Biopharma
AnalyticsEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Analytics Engineer II at Bristol Myers Squibb. Skills: Statistical analysis, Machine learning, Predictive modeling, Data engineering. Design data science pipelines. Deploy data science pipelines”
What You'll Achieve.
Enhance business performance; Drive innovation
Industry & Context.
Excellent problem-solving skills; Ability to think critically; Ability to think creatively; Tackle complex business challenges
What They're Looking For.
Must Have
Bachelor's degree in Data Science, Statistics, Computer Science or related discipline, 2 to 5 years experience in a data science role, Background in statistical analysis, Background in machine learning, Background in predictive modelling techniques, Experience handling and analyzing large-scale structured and unstructured data sets using SQL, NoSQL or similar technologies, Demonstrated ability to develop and implement predictive models, Demonstrated ability to implement machine learning algorithms, Experience with building and deploying data science solutions, Experience with deploying data engineering solutions, Experience with established industry methods (MLOps, Git)
Nice to Have
Master's or Ph.D. degree, Experience in the biopharma or pharmaceutical industry, Experience working with healthcare data, Experience working with clinical trials, Experience working with related domains, Solid understanding of the biopharma industry, Solid understanding of regulatory requirements, Solid understanding of healthcare data sources, Experience with cloud platforms (AWS, Azure), Experience with big data technologies (Hadoop, Spark), Experience with Databricks, Experience with AWS, Experience with Python or R for data manipulation, Experience with Python or R for analysis, Experience with Python or R for modeling, Familiarity with data visualization tools (Tableau, Power BI, matplotlib/seaborn), Understanding of experimental design, Understanding of hypothesis testing, Understanding of A/B testing methodologies
What You'll Do.
Design data science pipelines
Deploy data science pipelines
Operate data science pipelines
Maintain data science pipelines
Develop cutting-edge tools
Maintain cutting-edge tools
Explore large-scale data
Conduct exploratory data analysis
Develop predictive models
Implement predictive models
Communicate analytical findings
Stay up-to-date with methodologies
Stay up-to-date with best practices
Mentor junior data scientists
Provide guidance to junior data scientists
Participate in knowledge sharing
Participate in team development
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Collaborate with data science teams; Collaborate with stakeholders; Collaborate with data engineers; Collaborate with IT teams
Communication Scope
Communicate complex analytical findings; Communicate insights to technical stakeholders; Communicate insights to non-technical stakeholders; Clear visualizations; Compelling visualizations; Clear reports; Compelling reports; Clear presentations; Compelling presentations
Process & Methodology
Prioritize tasks, Meet deadlines
Full Job Description
**Working with Us** Challenging. 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. 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: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). Summary: The Analytics Engineer position is a specialized role within BIA Hyderabad. They will focus on applying advanced statistical and machine learning techniques to extractinsights from complex data sets and drive data-driven decision-making processes. The analytics engineer will collaborate with cross-functional teams, conduct in-depth analysis,develop predictive models, and provide actionable recommendations to enhance business performance and drive innovation. Roles & Responsibilities * Hands-on design, deployment, operations, maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. * Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively. * Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps. * Collaborate with stakeholders to define project
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