Data Scientist

Competera Limited is looking for a Data Scientist to help reshape how the company delivers its solutions, with a focus on retail data, demand modeling, and pricing strategy. This role involves taking projects end-to-end, from turning requirements and data into model-ready work to developing, validating, and bringing solutions into production.

Based in San Mateo, CA with a remote setup, the position is open to candidates with 3+ years of commercial experience in data science or machine learning.

What you’ll do

• Analyze retail datasets to identify patterns and translate findings into data-aware pricing strategies.
• Maintain, tune, and improve existing models by investigating performance issues and tracing them to root causes.
• Design and validate proof-of-concept approaches for new modeling ideas, including challenging existing assumptions when needed.
• Own complex SnD data science implementations for new clients end-to-end: validate business requirements and data, map requirements to existing tools and functionality, develop and evaluate models, and transition the solution into production.
• Research, prototype, and evaluate modeling approaches for new domains and difficult scenarios such as sparse demand, promotions, and evolving sales patterns.
• Collaborate with Data Scientists, Engineers, Product/Project Managers, and domain experts to improve and productionize new demand modeling approaches.

What you bring

• 3+ years of commercial experience in Data Science, Machine Learning, or a related field.
• A solid mathematical foundation, preferably in computer science, mathematics, statistics, or another quantitative discipline.
• Strong knowledge of statistics, classical machine learning, deep learning methods, and common forecasting approaches.
• Practical experience with time series forecasting methodologies.
• Proficiency with the scientific Python ecosystem, 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, with experience writing clean, modular, maintainable code for prototyping and experiments.
• English sufficient for technical discussions, documentation, and collaboration in an international environment (upper-intermediate and higher).

Tools and technologies

• Python, NumPy, pandas, scikit-learn
• CatBoost, LightGBM, Keras, TensorFlow, PyTorch
• SQL, A/B testing

Desirable

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

Additional strengths that help

• Analytical mindset and critical thinking to solve complex problems.
• Strong ownership, including end-to-end accountability and proactive drive for solution quality and impact.
• Agile approach with the ability to experiment and test hypotheses in a fast-moving business environment.
• Business-oriented thinking to translate complex models into clear insights.
• Curiosity and a drive for continuous learning in data.
• Strong collaboration skills across cross-functional teams.

Benefits

• Remote-first ideology, with flexibility to work from home or a suitable coworking space.
• Flexible working hours (start between 8 and 11 am) and no time tracking systems.
• Regular performance and compensation reviews.
• Recurring 1-1s and measurable OKRs.
• In-depth onboarding with a clear success track.
• Competera covers 70% of your training or course fee.
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
• 20 business days of sick leave.
• Reimbursement for the cost of coworking.