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# Data Scientist

- **Company:** COMPETERA INC
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, A/B Testing, Agile Methodology, Big Data, Distributed Computing Environment, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Data Processing, Sql Optimization, Pytorch, Apache Spark, Deep Learning, Keras, Pandas, Pyspark, Scikit Learn, Information Technology, Xgboost, Databricks
- **Published:** October 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=23fd1f9b080e659e

## About the Role

* 3+ years of commercial experience in Data Science/Machine Learning or related field.
 * Solid mathematical background preferably in Computer Science, Mathematics, Statistics or another quantitative field.
 * Strong knowledge of statistics, classical machine learning, deep learning methods and commonly used forecasting approaches.
 * Practical experience with time series forecasting methodologies.
 * Proficiency in scientific Python toolkit including NumPy, pandas, scikit-learn, gradient-boosting frameworks such as CatBoost/LightGBM and either Keras/TensorFlow or PyTorch.
 * Experience with statistical hypothesis testing and experimental design, including A/B testing.
 * Advanced SQL skills for data manipulation and extraction.
 * Strong Python skills and experience writing clean, modular, maintainable code for prototyping and performing experiments.
 * English sufficient for technical discussions, documentation, and collaboration in international environment (Upper-intermediate and higher level).

Desirable requirements:

 * Experience in retail, e-commerce, pricing, revenue management or marketplaces.
 * Experience working with large datasets and distributed processing tools such as. Pyspark/Spark/Databricks.

Soft skills:

 * Analytical mindset and critical thinking to solve complex problems.
 * Strong ownership: you take responsibility for problems end-to-end, proactively drive them forward and stay accountable for the quality and impact of the final solution
 * 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.

## Description

* Analyze retail data to find patterns and derive insights for data-aware pricing strategies.
 * Maintain, tune and improve existing models, investigate model performance issues and identify their root causes.
 * Design and validate (proof-of-concept) POC for new modeling approaches, challenging existing assumptions when needed.
 * Own complex SnD Data science solution implementation for new clients end-to-end: validate business requirements and data, map requirements to existing tools and functionalities, develop and evaluate models and bring the solution into production.
 * Research, prototype and evaluate modelling approaches for new domains and challenging cases such as sparse demand, promotions and changing sales patterns.
 * Collaborate with Data Scientists, Engineers, Product/Project Managers and domain experts to improve and bring to production new approaches of demand modeling.