Lead Data Scientist - Forecasting

Tredence Inc.

Hyderabad, Pune District, Bengaluru

Hybrid

INR 3,500,000 - 5,500,000

Full time

3 days ago

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Job summary

Tredence Inc. in India is seeking an experienced Lead Data Scientist / Manager - Data Science with strong forecasting, predictive analytics, ML, and statistical modeling expertise to drive enterprise forecasting initiatives.

You will lead a team of data scientists and ML engineers, partner with business leaders, design roadmaps, and productionize models across revenue planning, demand forecasting, supply chain, and customer analytics.

Qualifications

8-12+ years of analytics/data science experience.
3-5+ years leading data science teams.
Strong hands-on experience in forecasting and predictive modeling.
Experience delivering forecasting solutions in production environments.

Responsibilities

Lead forecasting & predictive analytics initiatives for key business metrics.
Manage and mentor data scientists, analysts, and ML engineers.
Define project roadmaps, priorities and delivery timelines.
Establish best practices for model development, validation and deployment.
Collaborate with business leaders to translate forecasting needs into analytic solutions.
Present insights and forecasts to senior leadership.

Skills

Team Leadership

Stakeholder Management

Executive Communication

Problem Solving

Education

BE/BTech / MSc Statistics / PhD

Tools

Python

SQL

Scikit-learn

XGBoost

LightGBM

TensorFlow/PyTorch

Databricks

Spark

Snowflake

Job description

Lead Data Scientist / Manager - Data Science (Forecasting)

Role Summary

We are seeking an experienced Lead Data Scientist / Manager - Data Science with strong expertise in forecasting, predictive analytics, machine learning, and statistical modeling.

The ideal candidate will lead the design and deployment of forecasting solutions that drive strategic business decisions across areas such as revenue planning, demand forecasting, workforce planning, supply chain optimization, and customer analytics.

This position requires a blend of technical excellence, business acumen, stakeholder management, and team leadership.

Key Responsibilities

Forecasting & Predictive Analytics-

Build and deploy forecasting models for business metrics such as sales, demand, revenue, customer growth, inventory, and workforce planning.
Develop time series forecasting models using techniques such as:

ARIMA/SARIMA
Prophet
Exponential Smoothing
XGBoost
Random Forest
Deep Learning models (LSTM, Transformer-based forecasting)

Evaluate forecast accuracy and continuously improve model performance.
Conduct scenario analysis and what-if simulations to support business planning.

Data Science Leadership

Lead a team of data scientists, analysts, and ML engineers.
Mentor and coach team members on advanced analytics and machine learning techniques.
Define project roadmaps, priorities, and delivery timelines.
Establish best practices for model development, validation, and deployment.

Stakeholder Management

Collaborate with business leaders to understand forecasting requirements.
Translate business problems into analytical solutions.
Present insights, recommendations, and forecasts to senior leadership.
Drive adoption of data-driven decision-making across the organization.

Machine Learning & Model Development

Design end-to-end ML solutions from data preparation to production deployment.
Develop predictive and prescriptive analytics solutions.
Monitor model performance and ensure model governance standards are followed.
Work with engineering teams to productionize models.

Data Engineering & Analytics

Work with large-scale structured and unstructured datasets.
Build feature engineering pipelines and data quality frameworks.
Ensure scalable and efficient data processing using cloud platforms and distributed computing frameworks.

Required Qualifications Education