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Data Scientist

NextHire (Part of Algotale Group)

5 years

0 Lacs

chennai tamil nadu india

Posted:2 weeks ago| Platform:

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Skills Required

data analytics design learning analysis drive forecasting ml preprocessing engineering automate model documentation statistics manufacturing arima xgboost networks statsmodels sql visualization tableau power matplotlib translation communication aws gcp azure workflow lstm

Work Mode

On-site

Job Type

Full Time

Job Description

Company:

Location:

Overview

Data Scientist (Demand Forecasting)

Key Responsibilities

Develop and enhance forecasting models using
time series, statistical, and ML techniques
for SKU- and branch-level demand prediction.
Partner with stakeholders to define requirements and identify relevant data sources (historical sales, calendar, promotions, external datasets).
Perform
feature engineering
to integrate seasonality, holidays, promotions, weather, and external drivers into models.
Conduct thorough
data preprocessing, validation, and analysis
to ensure robust and reliable forecasts.
Collaborate with
data engineering and business teams
to deploy models into production and automate recurring forecasts.
Track and evaluate model performance using
MAE, RMSE, MAPE
, and refine models based on results.
Prepare
documentation, dashboards, and presentations
for technical and business audiences.
Stay current on advances in
time series forecasting, ML, and demand analytics
.

Required Skills & Experience

Bachelor’s/Master’s in
Data Science, Statistics, Computer Science, Operations Research
, or related field.
4–5 years’ experience
in forecasting/analytics (retail, QSR, FMCG, or manufacturing preferred).
Hands-on expertise in:
Time series models
: ARIMA/SARIMA, Exponential Smoothing, Prophet
Machine learning models
: XGBoost, LightGBM, Random Forest, Neural Networks for time series
Proficiency in
Python
(pandas, scikit-learn, statsmodels, Prophet, etc.); SQL is a plus.
Experience in
feature engineering
with holiday/event calendars and external data.
Familiarity with
visualization tools
(Tableau, Power BI, matplotlib, seaborn).
Strong
problem-solving, detail orientation, and business translation skills
.
Excellent
communication and collaboration
abilities.

Preferred Qualifications

Experience deploying forecasting models in
production/cloud environments
.
Knowledge of
retail/restaurant analytics
at 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
(LSTM, GRU).

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