Lead Data Scientist Job in Epsilon Data Management, Llc

Job Description

• Engage with multiple teams and assist in the implementation of the proposed design, delegate work items to team members, monitor project status and review outcomes.
• Lead a team of data scientists and analysts, to brainstorm ideas on modeling techniques, and guide junior members of the team as required.
• Participate in scrum meetings to monitor the progress of work items, recommend alternate methods (if available) to complete project tasks.
• Track client implementations and work with delivery teams to identify gaps in product features, assess feedback around model accuracies and relay the same to stake holders from within product team.
• Collaborate with client teams to on-board data, build models and score predictions.
• Build project proposals, contribute to designing of Data Science modules and creating prototypes across variety of ML projects
• Research unfamiliar methodologies, techniques to fine tune existing models in the product suite and, recommend better solutions and/or technologies.
• Improve features of the AIQ product to include newer machine learning algorithms in the likes of product recommendation, real time predictions, fraud detection, offer personalization etc.
• Demonstrate a basic understanding of different machine learning concepts such as Regression, Matrix Factorization, K-fold Validations, and different algorithms such as Decision Trees, Random Forrest, K-means clustering.

Qualifications

• Bachelor s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework
• Proficiency with a deep learning framework such as TensorFlow or Keras; minimum 7 years of experience
• Exposure to CNN,RNNneural networks based professional projects solving problem in the likes of time series data and image data.
• In-depth understanding of LSTM concepts and be able to implement advances techniques such as stacked, bidirectional and seq2seq
• Demonstrated proficiency in PYTHON and BIG DATA technologies and the proven ability to program in big data/cloud technologies such as AWS & SPARK; minimum 3 years of experience
• A Deep understanding of Recommender Systems and applications around real-time predictions
• Experienced with machine learning algorithms such aslogistic regression,random forest, XG boost,KNN,SVM, neural network, linear regression, lasso regression and k-means.

Desirable Qualifications:

• Advanced degree (Master s/PhD) in Statistics, Economics or other quantitative discipline
• Knowledge and understanding of AWS Sagemaker
• Working experience in CI/CD tools such as GIT & BitBucket
• Prior experience of leading a group of junior data scientists will be preferred