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Senior Data Scientist (D)

Senior Data Scientist (D)

Go Digital Technology Consulting

3 - 5 years

8 - 12 Lacs

Mumbai

Posted:-1 days ago| Platform:

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Skills Required

Usage data science Operations planning Analytical Machine learning market data Risk management Analytics SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title: Data Scientist - Electric Load Forecasting

Location:

Mumbai / Pune

Job Type:

Full-time

Experience:

3-5 years

About the Role:

We are seeking a highly motivated

Data Scientist - Forecasting

with a strong passion for energy, technology, and data-driven decision-making. In this role, you will be responsible for developing and refining

energy load forecasting models

, analyzing

customer demand patterns

, and improving

forecasting accuracy

using advanced

time series analysis

and

machine learning techniques

. Your insights will directly support

risk management, operational planning, and strategic decision-making

across the company.

If you thrive in a fast-paced, dynamic environment and enjoy solving complex

data science challenges

, we d love to hear from you!

Key Responsibilities:

Develop and enhance
energy load forecasting models
using
time series forecasting
,
statistical modeling
, and
machine learning techniques
.
Analyze historical and real-time
energy consumption data
to identify trends and improve forecasting accuracy.
Investigate discrepancies between
forecasted and actual energy usage
, providing actionable insights.
Automate
data pipelines
and
forecasting workflows
to streamline processes across departments.
Monitor day-over-day
forecast variations
and communicate key insights to stakeholders.
Work closely with internal teams and external vendors to refine
forecasting methodologies
.
Perform
scenario analysis
to assess seasonal patterns, anomalies, and market trends.
Continuously
optimize forecasting models
, leveraging techniques like
ARIMA, Prophet, LSTMs, and regression-based models
.

Qualifications & Skills:

3-5 years of experience
in data science, preferably in
energy load forecasting
, demand prediction, or a related field.
Strong expertise in
time series analysis
,
forecasting algorithms
, and
statistical modeling
.
Proficiency in
Python
, with experience using libraries such as
pandas, NumPy, scikit-learn, statsmodels, and TensorFlow/PyTorch
.
Experience working with
SQL
and handling large datasets.
Hands-on experience with
forecasting models
like
ARIMA, SARIMA, Prophet, LSTMs, XGBoost, and random forests
.
Familiarity with
feature engineering, anomaly detection, and seasonality analysis
.
Strong analytical and problem-solving skills with a
data-driven mindset
.
Excellent communication skills, with the ability to
translate technical findings into business insights
.
Ability to work independently and collaboratively in a
fast-paced, dynamic environment
.
Strong attention to detail, time management, and organizational skills.

Preferred Qualifications (Nice to Have):

Experience working with
energy market data, smart meter analytics, or grid forecasting
.
Knowledge of
cloud platforms (AWS)
for
deploying forecasting models
.
Experience with
big data technologies
such as
Spark or Hadoop
.

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