Data Scientist

TSR Consulting Services, Inc.; San Francisco (CA); Remote; USD 115,000; Full time

Job summary

A leading consulting firm is seeking a Senior Technical Recruiter for a Data Scientist role focused on inventory optimization in San Francisco. The ideal candidate will have a strong foundation in data science and engineering, proficient in Python, SQL, and PySpark, and capable of developing scalable solutions. This contract position offers the opportunity to work on high-impact projects in retail and operations research, collaborating with various stakeholders.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• Hands-on experience with enterprise data science solutions.
• Experience with production-level coding and deployment practices.
• Strong understanding of CI/CD principles.

Responsibilities

• Develop, test, and deploy data science solutions using Python, SQL, and PySpark.
• Collaborate with data scientists to translate models into production-ready code.
• Implement CI/CD pipelines and manage code repositories.

Skills

Python

SQL

PySpark

Data Science Libraries

Machine Learning Techniques

Tools

Databricks

GitHub Enterprise

Job description

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Direct message the job poster from TSR Consulting Services, Inc.

Senior Technical Recruiter at TSR Consulting Services

Data Scientist - San Francisco, California

6 months contract

Remote

Pay $55 on W-2

Job id: 82501

We are seeking a highly skilled and motivated Data Scientist/Engineer to work on an ongoing inventory optimization initiative. This role is ideal for someone with a strong foundation in data science/engineering and a passion for building scalable, production-grade solutions that drive business impact. You will work on high-impact projects in domains such as retail, inventory management, and operations research, collaborating with data scientists, engineers, and business stakeholders.

Key Responsibilities

1. Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
2. Collaborate with data scientists to translate models into production-ready code.
3. Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
4. Design and optimize mathematical programming and machine learning models for real-world applications.
5. Work independently to break down complex problems into actionable development tasks.
6. Ensure code quality, scalability, and maintainability in a production environment.
7. Contribute to sprint planning, documentation, and cross-functional collaboration.

Required Qualifications

• Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
• Proficiency in Python, SQL, and PySpark.
• Experience with Databricks or similar enterprise cloud environments.
• Strong understanding of CI/CD principles and version control through GitHub Enterprise.
• Experience defining and validating service contracts using Pydantic for data validation and API schema enforcement.
• Experience with production-level coding and deployment practices.
• Familiarity with basic machine learning techniques and mathematical optimization methods.
• Proficient in data science libraries and ML pipelines such as NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.
• Self-starter with an ownership mindset and the ability to work with minimal supervision.

Preferred Qualifications

• Exposure to cloud platforms (e.g., Azure, AWS, GCP).
• Familiarity with APIs including how RESTful services are integrated into data science workflows.

Seniority level

• Associate

Employment type

• Contract

Job function

• Consulting and Business Development

Industries

• Staffing and Recruiting
• Information Services

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Inferred from the description for this job

• Medical insurance
• Vision insurance
• 401(k)

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