Data Scientist - Forecasting

1. About Our Client:

The organization operates in the biotechnology industry, focusing on developing treatments for serious illnesses across four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease. Since 1980, it has contributed to advancing biotech solutions, reaching millions of patients annually. The organization emphasizes research, manufacturing, and delivery of innovative medicines aimed at improving patient outcomes and longevity.

2. About the Opportunity:

The Data Scientist - Forecasting will enhance the organization''s forecasting capabilities by developing statistical, Bayesian, causal, and machine learning models. This role supports critical business processes by providing decision-support solutions that inform planning and strategy. It involves working cross-functionally to apply advanced forecasting methods and complex data analysis, directly impacting the organization’s ability to make informed decisions.

3. Responsibilities:

• Develop and refine models to support demand forecasting across various planning horizons

• Analyze large datasets using statistical and forecasting techniques to generate actionable insights

• Support simulation and scenario analysis to understand market dynamics involving patients, payers, and providers

• Participate in all stages of the modeling lifecycle, including problem framing, data analysis, feature engineering, model development, validation, deployment support, and explainability

• Collaborate with senior team members to evaluate and apply new forecasting, data science, and AI methodologies

• Communicate analytical findings clearly to both technical and non-technical stakeholders

4. Requirements:

• Master’s degree OR

• Bachelor’s degree plus 2 years of relevant experience OR

• Associate’s degree plus 6 years of relevant experience OR

• High school diploma / GED plus 8 years of relevant experience

• Experience in data science, analytics, or statistical modeling in industry, research, or enterprise environments

• Time-series forecasting, predictive modeling, or related quantitative methods experience

• Proficiency in Python and SQL, with familiarity in libraries such as scikit-learn, PyMC, PyTorch, or TensorFlow

• Strong analytical and statistical skills with the ability to work with complex datasets

• Familiarity with model development workflows and interpretative techniques

• Effective communication skills for explaining technical concepts

• Ability to collaborate in cross-functional teams

• Intellectual curiosity and adaptability in a fast-paced environment

• Experience in machine learning, statistical modeling, or decision science in relevant industries is preferred

• Exposure to causal inference, probabilistic modeling, or scenario analysis is a plus

5. Pay Range and Compensation Package:

• The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on relevant skills, experience, and qualifications.

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

6. Benefits & Perks:

• Comprehensive benefits package including medical, dental, vision, life, and disability insurance

• Retirement and Savings Plan with company contributions

• Flexible spending accounts

• Discretionary annual bonus or sales-based incentive plan (for field sales representatives)

• Stock-based long-term incentives

• Award-winning time-off plans

• Flexible work models where applicable

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.