Bristol Myers Squibb Hiring for Data Scientist III, Revenue Forecasting at Hyderabad, India Full Time

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 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: careers.bms.com/working-with-us .

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.

Data Scientist III, Revenue Forecasting

Summary : We are seeking an experienced Data Scientist to join an exceptional team that creates advanced analytical solutions to support revenue forecasting at Bristol Myers Squibb. This position will provide hands-on data science and machine learning engineering support for an end-to-end ecosystem of solutions for in-line / pipeline, short- / long-term forecasts. Specifically, this role will code, validate and test machine learning and/or simulation models, and develop apps to allow users to interact with these models. They will report to a HYD-based Sr. Manager for Data Science, in close collaboration with the US-based team.

Roles and responsibilities:

• Develop robust and scalable machine learning (ML) or simulation models.

• Model factors like epidemiology, patient flow, competition, and others impacting drug development/commercialization.

• Analyze forecast input data (incl. sales, epidemiology, competition) to assess quality and pre-processing needs.

• Develop ML models to support aggregation of forecasting assumptions while accounting for uncertainty.

• Extract insights from epidemiology, real world data, market research and other sources to support patient simulations.

• Stay informed about advancements in pharma forecasting methodologies and tools.

• Continuously monitor and evaluate the performance of forecasting models, including validation of ML models.

• Engage key stakeholders to understand their needs and translate them into technical specifications.

• Align closely with the US-based team and project leaders on priorities, project planning and management.

• Work closely with data scientists and domain experts to ensure compatibility of forecasting solutions with other tools.

• Work with IT as needed on data management and infrastructure related to forecasting solutions.

• Support the deployment of forecasting solutions, striving for seamless integration with existing systems.

• Develop UI apps to allow stakeholders to effectively interact with new forecasting solutions.

• Support opportunities to enhance the business impact of forecasting models, such as quality and efficiency.

• Document solution specifications (e.g., architecture, data flows, algorithms) to ensure transparency / reproducibility.

Skills & competencies:

• Statistical analysis, machine learning, and data modeling

• Programming languages such Python, R, or similar

• Data manipulation, analysis, and querying using SQL or similar

• Excellent problem-solving and analytical skills, with the ability to weigh tradeoffs in solution development such as cost, time, quality and risk.

Experience:

• Bachelor’s or master’s degree in Computer Science, Engineering, Applied Math, Bio Informatics, Operations Research or equivalent working experience in a highly analytical field

• 5+ years experience working as a Data Scientist or similar role, preferably focusing on pharma revenue forecasting, incl. hands-on coding in Python, R, SQL

• Effective communication and collaboration skills

• Demonstrated ability to manage multiple projects simultaneously and deliver high-quality results within specified deadlines

• Preferably, experience with pharma forecasting techniques such as demand vs epi-based forecasts, baselining, event modeling, time series analysis and simulation, as well as off-the-shelf forecasting platforms

• Deep interest in the drug development and commercialization process, and preferably, experience with pharmaceutical industry analytics including data sources, market research, sales data, or real-world data

#GBOHYD #LI-Hybrid

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 an inclusive culture, promoting diversity 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 a diverse 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 adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) 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.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Company: Bristol-Myers Squibb

Req Number: R1581522

Updated: 2024-05-20 02:50:22.507 UTC

Location: Hyderabad-IND

Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.