Epsilon is the leader in outcome-based marketing. We enable marketing that’s built on proof, not promises. Through Epsilon PeopleCloud, the marketing platform for personalizing consumer journeys with performance transparency, Epsilon helps marketers anticipate, activate and prove measurable business outcomes. Powered by CORE ID®, the most accurate and stable identity management platform representing 200+ million people, Epsilon’s award-winning data and technology is rooted in privacy by design and underpinned by powerful AI. With more than 50 years of experience in personalization and performance working with the world’s top brands, agencies and publishers, Epsilon is a trusted partner leading CRM, digital media, loyalty and email programs. Positioned at the core of Publicis Groupe, Epsilon is a global company with over 8,000 employees in over 40 offices around the world.

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• Deliver ML/DL projects from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization
• Helping to build production systems that take inputs from multiple models and make decisions in real/near time
• Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters
• Provide requirements to develop analytic capabilities, platforms, and pipelines
• Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication

• Master’s in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
• 1+ years of experience in a ML or data scientist role and a track record of building ML or DL models
• In depth knowledge and working experience in statistical and data mining techniques: GLM, Random Forest, Boosting Trees, Neural Network, Text mining, kNN, Clustering
• At least 1+ years of experience with data querying languages-SQL, scripting languages-Python
• Ability to write production level code, which is well-written and explainable
• Primary experience with data scripting languages such as Python and SQL, experience using ML libraries, such as scikit-learn, Knowledge and experience of writing and tuning SQL
• Statistical/mathematical software (e.g. R, SAS, or Matlab), Knowledge of SparkML will be an added advantage
• Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
• Experience giving data presentations, Strong written and verbal communication

Desired:

• Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
• Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences will be an added advantage
• Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR will be an added advantage, working knowledge of Hadoop, Map-reduce and other big data technologies