Job Description

Senior ManagerEXL/SM/1362312


ServicesGurgaon
Posted On
19 May 2025
End Date
03 Jul 2025
Required Experience
8 - 12 Years



Basic Section
Number Of Positions


1


Band


C2


Band Name


Senior Manager


Cost Code


D014043


Campus/Non Campus


CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1200000.0000 - 2200000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Analytics - UK & Europe


Organization


Services


LOB


Services


SBU


Analytics


Country


India


City


Gurgaon


Center


EXL - Gurgaon Center 38




Skills
Skill


PYTHON


GCP


ML


Minimum Qualification


B.COM


Certification


No data available

Data Scientist - Retail & E-commerce Analytics with Personalization, Campaigns & GCP/BigQuery Expertise

We are looking for a skilled

Data Scientist

with strong expertise in

Retail & E-commerce Analytics

, particularly in

personalization

,

campaign optimization

, and

Generative AI (GenAI)

, along with hands-on experience working with

Google Cloud Platform (GCP)

and

BigQuery

. The ideal candidate will use data science methodologies and advanced machine learning techniques to drive personalized customer experiences, optimize marketing campaigns, and create innovative solutions for the retail and e-commerce business. This role will also involve working with large-scale datasets on

GCP

and performing high-performance analytics using

BigQuery

.

Responsibilities:

E-commerce Analytics & Personalization

:

Develop and implement machine learning models for

personalized recommendations

,

product search optimization

, and

customer segmentation

to improve the online shopping experience.


Analyze customer behavior data to create tailored experiences that drive engagement, conversions, and customer lifetime value.


Build recommendation systems using

collaborative filtering

,

content-based filtering

, and hybrid approaches.


Use

predictive modeling

techniques to forecast customer behavior, sales trends, and optimize inventory management.

Campaign Optimization

:

Analyze and optimize digital marketing campaigns across various channels (email, social media, display ads, etc.) using statistical analysis and A/B testing methodologies.


Build predictive models to measure campaign performance, improving targeting, content, and budget allocation.


Utilize customer data to create hyper-targeted campaigns that increase customer acquisition, retention, and conversion rates.


Evaluate customer interactions and campaign performance to provide insights and strategies for future optimization.

Generative AI (GenAI) & Innovation

:

Use

Generative AI (GenAI)

techniques to dynamically generate personalized content for marketing, such as product descriptions, email content, and banner designs.


Leverage

Generative AI

to synthesize synthetic data, enhance existing datasets, and improve model performance.


Work with teams to incorporate

GenAI

solutions into automated customer service chatbots, personalized product recommendations, and digital content creation.

Big Data Analytics with GCP & BigQuery

:


Leverage

Google Cloud Platform (GCP)

for scalable data processing, machine learning, and advanced analytics.


Utilize

BigQuery

for large-scale data querying, processing, and building data pipelines, allowing efficient data handling and analytics at scale.


Optimize data workflows on GCP using tools like

Cloud Storage

,

Cloud Functions

,

Cloud Dataproc

, and

Dataflow

to ensure data is clean, reliable, and accessible for analysis.


Collaborate with engineering teams to maintain and optimize data infrastructure for real-time and batch data processing in GCP.

Data Analysis & Insights

:

Perform data analysis across customer behavior, sales, and marketing datasets to uncover insights that drive business decisions.


Develop interactive reports and dashboards using

Google Data Studio

to visualize key performance metrics and findings.


Provide actionable insights on key e-commerce KPIs such as

conversion rate

,

average order value (AOV)

,

customer lifetime value (CLV)

, and

cart abandonment rate

.

Collaboration & Cross-Functional Engagement

:


Work closely with marketing, product, and technical teams to ensure that data-driven insights are used to inform business strategies and optimize retail e-commerce operations.


Communicate findings and technical concepts effectively to stakeholders, ensuring they are actionable and aligned with business goals.

Key Technical Skills:

Machine Learning & Data Science

:


Proficiency in

Python

or

R

for data manipulation, machine learning model development (scikit-learn, XGBoost, LightGBM), and statistical analysis.


Experience building

recommendation systems

and personalization algorithms (e.g., collaborative filtering, content-based filtering).


Familiarity with

Generative AI (GenAI)

technologies, including

transformer models

(e.g., GPT),

GANs

, and

BERT

for content generation and data augmentation.


Knowledge of

A/B testing

and

multivariate testing

for campaign analysis and optimization.

Big Data & Cloud Analytics

:

Hands-on experience with

Google Cloud Platform (GCP)

, specifically

BigQuery

for large-scale data analytics and querying.


Familiarity with

BigQuery ML

for running machine learning models directly in BigQuery.


Experience working with GCP tools like

Cloud Dataproc

,

Cloud Functions

,

Cloud Storage

, and

Dataflow

to build scalable and efficient data pipelines.


Expertise in

SQL

for data querying, analysis, and optimization of data workflows in

BigQuery

.

E-commerce & Retail Analytics

:

Strong understanding of e-commerce metrics such as

conversion rates

,

AOV

,

CLV

, and

cart abandonment

.


Experience with analytics tools like

Google Analytics

,

Adobe Analytics

, or similar platforms for web and marketing data analysis.

Data Visualization & Reporting

:

Proficiency in

data visualization

tools like

Tableau

,

Power BI

, or

Google Data Studio

to create clear, actionable insights for business teams.

Experience developing dashboards and reports that monitor KPIs and e-commerce performance.

Desired Qualifications:

Bachelor's or Master's degree in

Computer Science

,

Data Science

,

Statistics

,

Engineering

, or related fields.

5+ years of experience in

data science

,

machine learning

, and

e-commerce analytics

, with a strong focus on

personalization

,

campaign optimization

, and

Generative AI

.

Hands-on experience working with

GCP

and

BigQuery

for data analytics, processing, and machine learning at scale.

Proven experience in a client-facing role or collaborating cross-functionally with product, marketing, and technical teams to deliver data-driven solutions.

Strong problem-solving abilities, with the ability to analyze large datasets and turn them into actionable insights for business growth.


Workflow
Workflow Type


Back Office