About the BU:

From helping to invent the affiliate industry to leading performance marketing, the CJ Team has earned a reputation for maintaining the largest and most reliable partnership-based platform. We are the platform of choice for driving profitable growth for over 3,800 global brands - across industries like retail, travel, finance, and network & home services. Our technology powers a vast partnership ecosystem where over 167K publishers and brands engage with billions of consumers worldwide. The CJ India team connects global brands and publishers to drive scalable growth. Passionate about delivering sustainable outcomes, we focus on providing meaningful solutions to real-world needs.

Why We Are Looking for You:

We are looking for a Senior Data Scientist in Bangalore who is passionate about addressing business challenges for our clients through the application of data science, delivering best-in-class solutions that provide a competitive edge. Your ability to collaborate and consult with clients and internal teams to define, derive, and deploy analytical solutions is crucial. We value your expertise in deriving actionable insights from complex data and your ability to communicate complex problems in simple business terms to stakeholders. You are an effective communicator, a strong team player across geographies, and self-driven to work under competing priorities and tight timelines.

What You Will Enjoy in This Role:

As a Senior Data Scientist, you will have the opportunity to:

• Collaborate with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.
• Develop and manage a use case roadmap for business problem areas by framing them into Data Science or modeling problems.
• Strategize and execute the development of data products in collaboration with Product Management, and Engineering teams.
• Join a global team that leverages your expertise and challenges you to innovate and lead.
• Support clients across various industries such as Retail, CPG, Travel, and Finance in the digital marketing ecosystem.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

• Analyse large-scale digital marketing and e-commerce datasets using PySpark, Python, SQL and Databricks.
• Build, maintain, and optimize machine learning models for forecasting, classification, and optimization using algorithms like logistic regression, linear regression, lasso, k-means, and random forest.
• Conduct incrementality and causal inference analysis as applicable.
• Prototype and integrate AI/LLM-driven solutions into internal workflows.
• Collaborate with global teams to develop scalable and reusable code and models.
• Partner with stakeholders to define technical requirements and deliver business impact.
• Perform code reviews and maintain version control using GitLab.
• Create dashboards using Tableau, Power BI, or Cognos that distill analysis into clear and actionable insights.
• Ensure reproducibility and quality through rigorous testing, documentation, and automation practices.

Bachelor’s or Master’s degree in a quantitative discipline (e.g., data science, statistics, economics, mathematics, computer science).

4+ years of professional experience in data science or business intelligence.

3+ years of hands-on experience with PySpark, Python, SQL, and AWS.

2+ years of applying machine learning algorithms in production settings.

Preferred:

Industry experience in Ad Tech, MarTech, e-commerce.

Experience with MLflow or similar tools for model tracking and deployment.

Exposure to advanced analytics techniques such as multi-touch attribution, market mix modeling, fraud analytics, customer journey analysis, churn modeling, segmentation, hypothesis testing, A/B testing, and recommendation engines.

Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

• People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
• Collaboration: We work together, support one another, and collectively achieve goals.
• Growth: There are endless opportunities for growth through learning, development and career advancement.
• Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
• Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

• Act with integrity
• Work together to win together
• Innovate with purpose
• Respect all voices
• Empower with accountability

These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.

Epsilon is an Equal Opportunity Employer. 
Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.