Forecasting Data Scientist

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forecasting Data Scientist based in India. This role sits at the intersection of advanced analytics, demand planning, and business strategy, focusing on building and refining statistical forecasting models that directly influence enterprise decision-making. You will work with large-scale datasets to identify patterns, improve forecast accuracy, and reduce bias across key business drivers. The position requires strong collaboration with demand planners and cross-functional teams to translate business needs into robust analytical solutions. You will contribute to the development of scalable forecasting systems using modern data platforms such as Databricks. This is a high-impact role where your insights will directly improve planning efficiency and commercial outcomes. The environment is fast-paced, data-driven, and focused on continuous model improvement and innovation.

Accountabilities

• Develop, maintain, and enhance statistical forecasting models for demand planning, ensuring high accuracy and low bias across SKU-level demand behavior using segmentation approaches.
• Analyze large and complex datasets to identify trends, patterns, and root causes affecting forecast performance and business outcomes.
• Monitor and evaluate model performance regularly (MAPE, bias metrics), performing tuning, post-processing, and refinement to improve forecasting quality.
• Design and implement scalable predictive algorithms using Python and PySpark within Databricks environments to support forecasting and planning processes.
• Collaborate closely with Demand Planning and business stakeholders to gather requirements, explain model outputs, and incorporate feedback into model improvements.
• Contribute to data modeling, KPI development, and visualization efforts using SQL, BI tools, and statistical techniques to support decision-making.
• Drive continuous improvement initiatives, enhancing forecasting frameworks, code efficiency, and overall analytical robustness across the planning ecosystem.

Requirements This role requires strong experience in data science, forecasting, and large-scale analytical systems, combined with solid business understanding and communication skills. Candidates should be comfortable working in complex data environments and translating analytical outputs into actionable insights. The ideal profile combines statistical expertise, engineering capability, and stakeholder management experience.

• 10+ years of experience in data science, statistical modeling, or advanced analytics, with strong exposure to demand forecasting and supply chain environments.
• Strong proficiency in Python and PySpark, with hands-on experience building and deploying predictive and statistical models.
• Advanced knowledge of SQL, data manipulation, and working with large-scale datasets in cloud-based environments such as Databricks.
• Solid understanding of forecasting methodologies, time series analysis, segmentation strategies, and error/bias optimization techniques.
• Experience working with BI and visualization tools such as Power BI or Tableau, along with strong data storytelling skills.
• Ability to work with cross-functional teams including demand planners, product, and business stakeholders to translate requirements into models.
• Strong analytical thinking, problem-solving ability, and capability to simplify complex technical concepts for business audiences.
• Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, Data Science, or a related quantitative field.

Benefits

• Remote-first working arrangement within India
• Opportunity to work on large-scale, global data and forecasting systems
• Exposure to advanced Databricks-based analytics and modern data science stacks
• Collaborative, cross-functional environment with strong focus on innovation
• Career growth opportunities in advanced analytics and data science leadership tracks
• Work on high-impact forecasting systems influencing global business decisions
• Inclusive and diverse workplace culture.

How Jobgether Works We use an

AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.