Job Description

: Data Scientist - Demand Forecasting

Company: Datacrew.ai

Location : Chennai

Overview

Datacrew.ai is seeking a Data Scientist with expertise in demand forecasting to join our

growing analytics team. This role will focus on building, deploying, and optimizing demand

prediction models for diverse industries including food and retail. You will leverage machine

learning, statistical modeling, and domain-specific external factors to deliver actionable

business insights.

Key Responsibilities

Develop, implement, and improve forecasting models using time series, statistical,
and machine learning techniques for granular (SKU/branch-level) and aggregate

demand prediction.

Work with business stakeholders to understand requirements and identify relevant data
sources (historical sales, external, and calendar data).

Perform feature engineering to integrate variables such as seasonality, holidays,
promotions, weather, and other external factors into forecasting models.

Conduct data analysis, preprocessing, and validation to ensure high model accuracy
and reliability.

Collaborate with data engineering and business teams to deploy models into
production environments and automate recurring forecasts.

Evaluate model performance using metrics such as MAE, RMSE, and MAPE; iterate
based on results and feedback.

Prepare clear documentation, dashboards, and presentations on model outcomes and
recommendations for both technical and non-technical audiences.

Stay updated on latest advances in demand forecasting, time series analytics, and
relevant technologies.

Required Skills & Experience

Bachelor's or Master's in Data Science, Statistics, Computer Science, Operations
Research, or a related field.

4-5 years' experience in a data scientist or forecasting/analytics role (retail, QSR, FMCG,
manufacturing, or similar preferred).

Strong practical experience with:
Time series forecasting (e.g., ARIMA/SARIMA, Exponential Smoothing, Prophet)
Machine Learning models (e.g., XGBoost/LightGBM, Random Forest, neural o Proficiency in Python (pandas, scikit-learn, statsmodels, Prophet, etc.); SQL experience
a plus.

Experience with feature engineering for forecasting models, including holiday/event
calendars and external datasets.

Familiarity with data visualization and dashboarding tools (e.g., Tableau, PowerBI,
matplotlib, seaborn).

Strong problem-solving skills, attention to detail, and ability to translate business needs
into analytical solutions.

Effective communication and collaboration skills.
Preferred

Experience deploying forecasting solutions into production/cloud environments.
Understanding of retail or restaurant analytics at product/SKU and store/branch level.
Exposure to big data tools, cloud platforms (AWS, GCP, Azure), and workflow
automation.

Experience with deep learning models for time series (e.g., LSTM, GRU).
Job Types: Full-time, Permanent

Pay: ?80,000.00 - ?130,000.00 per month

Application Question(s):

Are you immediate joiner or Serving Notice Period ? Whats your Current Ctc ? You stay in Chennai right ? How Many years of experience you have in Data Scientist ? * You have Experience in Demand Forecasting ?, python , Arima , Machine Learning