We are seeking an experienced Senior Manager - Data Science (Forecasting) to lead the design, development, and deployment of advanced forecasting solutions that drive strategic business decisions. This role combines deep expertise in time-series forecasting, machine learning, and statistical modeling with robust people leadership, program delivery, stakeholder management, and business strategy. The ideal candidate is a hands-on leader who can guide teams, influence business outcomes, and deliver scalable forecasting solutions across multiple domains.

Technical Leadership & Forecasting Excellence

- Lead the development and deployment of forecasting models for demand, capacity, revenue, workforce, supply chain, or other business planning functions.
- Design and implement advanced forecasting techniques including:

- ARIMA/SARIMA

- Exponential Smoothing (ETS)

- Prophet
- Machine Learning and Deep Learning-based forecasting models

- Ensemble forecasting approaches
- Drive model accuracy improvements through feature engineering, model optimization, and continuous monitoring.
- Establish forecasting best practices, frameworks, and governance standards.
- Evaluate emerging technologies and techniques in forecasting, predictive analytics, AI, and Generative AI.

Hands-on Data Science & Delivery

- Remain actively involved in solution design, model reviews, architecture discussions, and critical technical challenges.
- Lead end-to-end data science project delivery from problem definition through production deployment.
- Work closely with engineering teams to operationalize forecasting models at scale.
- Ensure solutions meet business, performance, reliability, and scalability requirements.
- Drive adoption of MLOps and model lifecycle management practices.

People Leadership

- Build, mentor, and manage a high-performing team of data scientists, ML engineers, and analysts.
- Conduct performance reviews, career development planning, and coaching.
- Foster a culture of innovation, ownership, accountability,



and continuous learning.
- Guide team members on technical excellence, stakeholder management, and business impact.

Business Partnership & Stakeholder Management

- Collaborate with business leaders to understand forecasting requirements and translate them into analytical solutions.
- Present insights, forecasts, assumptions, risks, and recommendations to senior leadership.
- Influence strategic planning through data-driven decision-making.
- Partner with product, engineering, operations, finance, and business teams to align forecasting initiatives with organizational goals.

Strategy & Innovation

- Define and execute the forecasting roadmap aligned with business objectives.
- Identify opportunities to leverage AI, ML, and GenAI for forecasting automation and decision support.
- Measure and communicate business impact of forecasting initiatives.
- Drive thought leadership within the organization on predictive analytics and forecasting capabilities.

Required Qualifications

- Master's or Ph.D. in Data Science, Statistics, Mathematics, Operations Research, Economics, Computer Science, or related discipline.
- 12+ years of experience in Data Science, Analytics, Machine Learning, or Forecasting.
- 3+ years of experience leading data science teams.
- Strong expertise in time-series forecasting and predictive modeling.
- Proficiency in Python, SQL, and data science ecosystems.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience deploying machine learning solutions into production environments.
- Strong communication and stakeholder management skills.
- Proven ability to lead multiple initiatives and influence executive stakeholders.

Preferred Qualifications

- Experience in demand forecasting, workforce forecasting, financial forecasting, retail, supply chain, or operations analytics.
- Exposure to Generative AI and Large Language Models.
- Experience with MLOps frameworks and model monitoring.
- Familiarity with Databricks, Spark, Azure Machine Learning, or similar platforms.
- Experience managing teams of 5-15+ data scientists and ML engineers.

📌 Senior Manager - Data Science (Forecasting) (Bengaluru)
🏢 Tredence
📍 Bengaluru