We are now looking for a Middle Data Scientist to change the way we deliver our solution to customers. Competera uses Big Data and Deep Learning to change the way retailers do pricing. We are known for both cutting-edge math ‘under the hood’ and for deep expertise in the pricing domain.
What you will do:
— Handle DS operations: metrics, model tuning/retraining, dataset preparation, feature engineering, and working with existing clients’ models
— Design and run market tests for new clients: select A/B groups, estimate model impacts, etc.
— Work with business consultants and analysts to make data-driven suggestions to customers in the pricing area
— Automate and template the repeatable tasks in collaboration with platform developers
Starter-kit needed to join the board:
— 2+ years of proven commercial experience (at least 1 year in the role of DS)
— Core Python 3
— SQL (experienced user: CTE, window functions)
— Solid math background (Computer Science-related education is preferred)
— Scientific Python toolkit (NumPy, pandas, Scikit-learn, Keras / TensorFlow, or PyTorch)
— Solid understanding of ML model validation and monitoring approaches
— Understanding Time Series Forecasting approaches
— Intermediate+ English
— Experience in the retail or marketing domain (as a DS worked with tasks for this domain)
— Statistical testing experience, A/B testing
— Proven graduation from ML/AI MOOCs (Coursera, etc.),
— Participation in ML competitions (i.e. Kaggle)
You’re gonna love it, and here’s why:
— Meaningful work in an agile team ever-open to the experiments.
— Fair payout with regular performance-based reviews.
— Remote-first ideology: freedom to operate from the home office.
— Working hours that adapt to your biorhythm and no time tracking systems on.
— Want to learn? Competera loves that and is eager to cover 60% of your training/course fee.
— Paid vacation & sick leaves (20 business days each) + 15 days off.
— Partial medical insurance coverage.
Let’s price the world together!