Retail Analytics Data Jobs

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Today

Data Scientist

COMPETERA LIMITED San Mateo, CA 🇺🇸 Remote

San Mateo, CA

Today

Full time A/B Testing Advanced Analytics Analytics

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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.

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