Data Scientist

COMPETERA LIMITED; San Mateo (CA); Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote-first

Flexible working hours

Performance reviews

OKRs

Training reimbursement 70%

Vacation 20 days

Sick leave 20 days

Coworking reimbursement

Job summary

Competera Limited is seeking a Data Scientist in a remote-friendly setup based in San Mateo, CA, with 3+ years of commercial data science experience. You will analyze retail data, develop demand models and pricing strategies, and deliver end-to-end solutions from concept to production.

You’ll work with a cross-functional team to improve forecasting quality, prototype new methods, and ensure robust production-grade implementations for clients in a dynamic, global environment.

Qualifications

• 3+ years of commercial experience in Data Science or ML.
• Strong mathematical foundation in CS/math/stats.
• Solid knowledge of statistics and ML methods.
• Experience with time series forecasting.
• Proficiency with Python ecosystem (NumPy, pandas, scikit-learn).
• Experience with SQL for data manipulation and extraction.
• Experience with ML frameworks (CatBoost/LightGBM, TensorFlow or PyTorch).
• Experience with A/B testing and experimental design.
• English for technical discussions and collaboration.

Responsibilities

• Analyze retail datasets to identify patterns and inform pricing strategies.
• Maintain and improve models; diagnose performance issues.
• Prototype and validate modelling ideas and transition to production.
• Own end-to-end data science implementations for clients.
• Research and evaluate modelling approaches for challenging scenarios.
• Collaborate with cross-functional teams to productionize models.

Skills

Data Science

Machine Learning

Time Series Forecasting

Python

SQL

A/B Testing

CatBoost/LightGBM

TensorFlow

PyTorch

English Communication

Tools

NumPy

pandas

scikit-learn

Pyspark

Job description

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.