This role is for one of Weekday's clients
Min Experience: 5 years
Location: Bengaluru
JobType: full time
We are looking for an experienced
Data Scientist
with a strong background in the
CPG (Consumer Packaged Goods)
or
Retail domain
, focusing on
category and product analytics
,
forecasting
, and
machine learning workflows
. The ideal candidate will possess advanced analytical skills, business acumen, and hands-on expertise in modern data science tools and platforms such as
Python, SQL, Databricks, PySpark
, and
CI/CD ML pipelines
.
As a Data Scientist, you will be responsible for generating actionable insights across product assortment, category performance, sales trends, and customer behaviors. Your work will directly influence decision-making for
new product launches
,
inventory optimization
,
campaign effectiveness
, and
category planning
, enabling our teams to enhance operational efficiency and drive business growth.
Key Responsibilities
Category & Product Analytics:
Conduct deep-dive analysis into product assortment, SKU performance, pricing effectiveness, and category trends.
Evaluate new product launches and provide recommendations for optimization based on early performance indicators.
Sales Data Analysis & Forecasting:
Analyze historical and real-time sales data to identify key growth drivers, seasonality, and demand patterns.
Build statistical and ML-based models to forecast demand and category-level performance at multiple aggregation levels.
Customer Analytics (Nice to Have):
Analyze loyalty program data and campaign performance metrics to assess customer retention and ROI of promotions.
ML Model Development & Deployment:
Design, build, and deploy machine learning models using Python and PySpark to address business problems in forecasting,



product clustering, and sales optimization.
Maintain and scale CI/CD pipelines for ML workflows using tools like
MLflow
,
Azure ML
, or similar.
Data Engineering and Tooling:
Develop and optimize data pipelines on
Databricks
and ensure reliable data ingestion and transformation for analytics use cases.
Use
SQL
and
PySpark
to manipulate and analyze large datasets with performance and scalability in mind.
Visualization & Stakeholder Communication:
Build impactful dashboards using
Power BI
(preferred) to enable self-service analytics for cross-functional teams.
Translate data insights into clear, compelling business narratives for leadership and non-technical stakeholders.
Collaboration & Strategic Insights:
Work closely with category managers, marketing, and supply chain teams to align data science initiatives with key business objectives.
Proactively identify opportunities for innovation and efficiency across product and sales functions.
Required Skills & Qualifications
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
5+ years of experience in applied data science, preferably in CPG/Retail/FMCG domains.
Proficient in
Python
,
SQL
,
Databricks
, and
MLflow
. Experience with
PySpark
and
Azure ML
is a strong plus.
Deep experience with time-series forecasting, product affinity modeling, and campaign analytics.
Familiarity with
Power BI
for dashboarding and visualization.
Strong storytelling skills, with the ability to explain complex data-driven insights to senior stakeholders.
Solid understanding of challenges and opportunities within the retail and FMCG space.
Ability to work independently as well as in cross-functional teams in a fast-paced environment.

📌 Data Scientist - Cpg Domain (Bengaluru)
🏢 Weekday AI
📍 Bengaluru