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.

Position Summary

You will build, validate, and operationalize forecasting models that inform commercial decisions across the enterprise. Partnering closely with the Forecasting Lead and cross-functional teams (commercial analytics, finance, supply chain, data engineering), you’ll transform diverse healthcare and market datasets into robust forecasts, clear insights, and scalable solutions. This role requires contributing to the design, building, enchancing, and operating of next-gen forecasting capabilities to increase actionable insight generation

Key Responsibilities

Forecasting model development

• Design, train, and tune time-series and ML-based demand-forecasting models (e.g., ARIMA/ETS/state-space/BSTS/Prophet; gradient boosting; random forests; regularized regression; occasional deep learning such as LSTM/TFT when warranted).
• Engineer features from sales, market, access, promo, macroeconomic, and external datasets; handle seasonality, holidays, launches, LOE, and stock-outs.
• Quantify and communicate uncertainty via prediction intervals; run scenario/sensitivity analyses.
• Experimentation, validation, and quality
• Implement rigorous backtesting (rolling/blocked CV); track MAPE/sMAPE/WAPE/MASE, bias, coverage.
• Contribute to champion–challenger frameworks, model monitoring, and drift detection.
• Apply model explainability (e.g., SHAP, permutation importance) and document assumptions/limitations.

Data and engineering excellence

• Build reproducible pipelines in Python/R using version control (Git), environments, and CI where applicable.
• Query and wrangle large datasets (SQL; Spark preferred); collaborate with data engineering on reliable data contracts.
• Package models for deployment; contribute to MLOps (MLflow, Docker; orchestration/feature stores as available).

Business engagement and storytelling

• Translate technical results into clear narratives and decision options for non-technical stakeholders.
• Create dashboards/visuals (Tableau/Power BI/matplotlib/seaborn/Plotly) and concise write-ups for leadership.
• Collaboration and ways of working
• Work with the Forecasting Lead to align on scope, timelines, and standards; participate in code reviews and design discussions.
• Maintain thorough documentation and contribute to internal best-practices templates and libraries.
• Support mentoring of analysts/interns and help uplift team coding/testing norms.

Qualifications

• Education: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, Applied Math, or related field. Experience: 3–5 years in data science/analytics with hands-on time-series or demand forecasting (healthcare/pharma preferred). Technical skills:
• Python or R for modeling and data processing (pandas/NumPy/scikit-learn/statsmodels/Prophet/pmdarima; or R equivalents such as forecast/prophet/tidymodels).
• SQL for data extraction and transformation; experience with large datasets and performance-aware queries.
• Solid grasp of experimental design, statistical inference, and error/uncertainty quantification.
• Visualization and communication skills for technical and executive audiences.
• Professional skills: Strong problem solving, structured thinking, prioritization, stakeholder communication, and ownership.

Good to Have

• Pharma/biopharma domain exposure: IQVIA/Symphony/claims/EHR/wholesaler data; launch forecasting; market access dynamics; tender markets.
• Causal and promo modeling: Difference-in-differences, synthetic control, uplift/causal forests, MMM basics.
• MLOps and production: MLflow, Airflow/Prefect, Docker; cloud (AWS/Azure); Spark/Databricks; Snowflake/Synapse.
• App and reporting: Streamlit/Plotly Dash, Power BI/Tableau; API integration for forecast services.
• Compliance and privacy: Understanding of GDPR/HIPAA; secure coding and PII/PHI handling.
• Platform familiarity: Domino or similar enterprise data science platforms.
• Contributions to standards: Code style, unit/integration tests, data validation (e.g., Great Expectations), documentation.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

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