Junior Data Scientist

Summary

Join Competer and become a Junior Data Scientist, playing a key role in reshaping how solutions are delivered. Conduct EDA to uncover hidden patterns and formulate hypotheses for modeling strategies. Design and analyze A/B tests to measure model impact. Train and evaluate predictive models for demand forecasting and price elasticity estimation. Translate business requirements into machine learning problems and communicate complex model outputs as actionable insights. This role requires a strong math background, SQL basics, proficiency in scientific Python tools, and a deep understanding of ML basics. The ideal candidate will have 1+ year of hands-on data science experience.

Requirements

• SQL basics
• A strong math background (Computer Science-related education is preferred)
• Scientific python toolkit (NumPy, pandas, scikit-learn, Keras / TensorFlow or PyTorch)
• Deep understanding of ML basics: overfitting, metrics, cross-validation, hyperparameter tuning, classification of ML tasks and models (classification, regression, clustering etc.)
• Good communication English skills (Intermediate+)
• 1+ year of hands-on experience in a data science

Responsibilities

• Conduct Exploratory Data Analysis (EDA) to uncover hidden patterns and formulate hypotheses that shape the modeling strategy
• Design and analyze A/B tests to measure the impact of your models and ideas
• Train and evaluate predictive models, (feature engineering/ hyperparameter tuning), for challenges like demand forecasting and price elasticity estimation
• Map business requirements into well-defined machine learning problems under consultancy
• Communicate complex model outputs as clear, actionable insights for business stakeholders

Preferred Qualifications

• Proven graduation from ML/AI MOOCs (Coursera, etc.)
• Participation in ML competitions (i.e. Kaggle)
• Analytical mindset and critical thinking to solve complex problems
• Agile approach, with the ability to experiment and test hypotheses in a dynamic business environment
• Business-oriented thinking, capable of translating complex models into clear business insights
• Curiosity and a drive for continuous learning in the data domain
• Strong team player, able to collaborate across cross-functional teams

Benefits

• Rich innovative software stack, freedom to choose the best suitable technologies
• Remote-first ideology: freedom to operate from the home office or any suitable coworking
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on
• Regular performance and compensation reviews
• Recurrent 1-1s and measurable OKRs
• In-depth onboarding with a clear success track
• Competera covers 70% of your training/course fee
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays
• 20 business days of sick leave
• Partial medical insurance coverage
• We reimburse the cost of coworking