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# Data Scientist Consultant

- **Company:** Inc. (csi)
- **Location:** Campbell, United States (Remote available)
- **Experience:** Expert
- **Salary:** $110,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Big Data, Information Engineering, Python (Programming Language), Machine Learning, NumPy, Standard Sql, Data Streaming, Pandas, Pyspark, Information Technology, Statistics Packages, Data Analytics
- **Published:** October 11, 2026
- **Apply:** https://startup.jobs/data-scientist-consultant-csi-software-ltd-10299263

## About the Role

* At least 3 years of experience in data analytics, ideally in retail or consumer products.
 * Excellent SQL skills and strong analytical and problem-solving ability.
 * Hands-on Python experience, including Pandas, NumPy and Statsmodels.
 * Strong communication skills in English and the ability to explain data concepts to non-technical audiences.
 * A degree in computer science, data science, mathematics, statistics, physics, economics or a related field.

Additional Experience

The following would be an advantage:

 * Experience with big data environments such as PySpark.
 * Familiarity with statistical modelling or behavioural price effects.
 * Additional languages beyond English.

## Description

We are looking for a Data Scientist or Senior Data Scientist with a consulting mindset to help retailers and brands make better decisions about inventory, promotions and pricing. You'll combine analytical expertise with direct customer engagement, building and validating models that turn complex data into practical business decisions. You'll work with international teams throughout customer onboarding and solution delivery.

What You Will Do

 * Partner with project managers, consultants and customers throughout onboarding projects.
 * Translate business processes and customer requirements into data transformations and modelling approaches.
 * Act as the key technical contact for data science and data engineering topics, explaining complex concepts clearly to non-technical stakeholders.
 * Maintain accurate, stable and well-documented data flows.
 * Design, prepare and analyse A/B tests to evaluate outcomes and answer business questions.
 * Train and validate statistical and machine learning models to measure the impact of pricing, promotions and inventory decisions.
 * Prototype solutions with Product Management and develop efficient, well-tested Python code.
 * Align customers and partners on data formats and transmission schedules.
 * Track project-specific effort and maintain complete, reliable solution documentation.