Senior Data Scientist

Senior Data Scientist

Overview

About Business Unit:

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:

- You are passionate about solving business problems for our clients through the application of data science, delivering best-in-class solutions that provide us a competitive edge.

- You have a strong ability to collaborate and consult with clients and internal teams to define, derive, and deploy analytical solutions.

- You excel at deriving actionable insights from complex data and can communicate complex problems in simple business terms to partners.

- You are an effective communicator, a strong teammate across geographies, and dedicated to meet tight timelines.

What you will enjoy in this role:

As a Sr. Data Scientist, you will:

- Work with stake-holders throughout the organization to find opportunities for leveusingpany data to drive business solutions.

- Develop a use case roadmap for business problem areas and frame them into Data Science or modelling problems.

- Strategize and implement development of data products by working with Client Support, Product Management and Engineering teams.

- Be part of a global team that uses your expertise and challenges you to innovate and lead.

- Support clients across industries such as Retail, CPG, Travel, and Finance in the digital marketing ecosystem.

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Responsibilities

- Extract, mine, and analyze data from multiple sources to drive optimization and improvement of products.

- Process, cleanse, and verify the integrity of data used for analysis.

- Build, select, and optimize models using ML/AI techniques.

- Present technical solutions to internal and external stake-holders in a clear and formal setting.

- Develop BI-based deliverables using tools such as Tableau, Cognos, Excel.

- Support stake-holders with ad-hoc business problems, charting, and reporting.

- Build project plans, maintain to-do lists, organize work, and follow coding ethics with attention to detail.

- Build self-service tools for error detection, diagnosis, and predictive metrics.

Qualifications

Required:

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

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

- Proficiency in Python/Scala/SQL and Big Data technologies with experience in AWS and Spark (minimum 3 years).

- Experience with machine learning algorithms such as logistic regression, linear regression, lasso regression, k-means, random forest (minimum 2 years).

- Proficiency in BI tools such as Tableau, Power BI, or Cognos with ability to deliver actionable insights.

- Expertise with Microsoft Office products.

- Strong communication skills and ability to coordinate across teams.

- Experience managing solution development through agile/scrum and tools like JIRA.

- Understanding of digital marketing in industries such as Travel or Retail.

Preferred:

- Professional experience with R, Dash, Looker, or Domo.

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