Data Scientist – Retail Pricing & Demand (Remote)

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 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.