Data Scientist

New Dehli

Experience: 10+ years

Location: Noida

About the Role:

As a Data Scientist at ElectrifAi, you will be part of a global team of data scientists working on products and solutions for Fortune 500 companies. You will improve upon and build new ML use cases for our customers world-wide. You will collaborate with a multi-disciplinary team of data scientists, software engineers, analysts and product management on a wide range of problems such as dynamic pricing, customer 360, demand forecasting, spend analytics, NLP solutions etc.

Responsibilities:

  • Work to create new deep learning and ML algorithms and applications. Drive technical vision and strategy to make ML a must-have in delivering solutions.
  • Help to define and improve large scale Machine Learning solutions that power our big data products to develop personalization, recommendation and predictions.
  • Define metrics, conduct A/B testing, and oversee statistical measurement of new algorithms and approaches.
  • Use Big Data technologies (such as Hadoop, Spark, Storm) to build large scale data mining pipelines for recommendation and search.
  • Apply Natural Language Processing to understand text from forum reviews, description and interactions between users.
  • Work with engineering, product management and delivery to build machine learning solutions incorporating data processing, feature engineering and monitoring.
  • Design and develop effective models, features, and algorithms involving user activities and interests, blogs and posts, social graphs, etc.

Skills Required:

Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.

  • 5 years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Proven experience in experimentation (a/b, causal inference, synthetic control etc), sophisticated data analysis, and or building machine learning models.
  • Strong statistical and machine learning background.
  • Experience with statistical software (e.g., R, Python, MATLAB, pandas) and proficiency with SQL and Hive / Spark (experience with streaming data a plus)
  • Knowledge of natural language processing techniques and neural networks.
  • Experience with Caffe/TensorFlow/Torch or similar deep learning frameworks

Good to have PhD in quantitative discipline

Apply Today

Cover Letter
Copy and paste your cover or upload an attachment instead
Resume
Please attach your resume as a .pdf or .doc file
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.