Data Science Data Science Senior Data Scientist

2 weeks ago

Bangalore, India Epsilon Full time

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. 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 excel at deriving actionable insights from complex data and can communicate complex problems in simple business terms to partners. - 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. - Support clients across industries such as Retail, CPG, Travel, and Finance in the digital marketing ecosystem. 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. - 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. - 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. - Experience managing solution development through agile/scrum and tools like JIRA. - Understanding of digital marketing in industries such as Travel or Retail. 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.

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