Data Scientist - CONTRACT W2

InfoVision Inc.; Illinois; Remote; USD 80,000 - 130,000; Full time

Job summary

A leading company in IT Services is seeking a Data Scientist for a remote position focused on inventory optimization. The ideal candidate will have a strong foundation in data science, experience with enterprise-level solutions, and a passion for building scalable solutions. Responsibilities include developing data science solutions, collaborating with teams, and ensuring code quality in production environments.

Qualifications

• Hands-on experience with enterprise data science solutions.
• Proficiency in Python, SQL, and PySpark.
• Experience with Databricks or similar cloud environments.

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 using GitHub Enterprise.

Skills

Python

SQL

PySpark

Data Science Libraries

Machine Learning Techniques

Job description

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Sr Manager at InfoVision Consultants Inc (USA) & InfoVision Solutions India

We have an immediate Openings with Our Direct Client for a Long-term contract position.

Request-ID: 10417-1 - CONTRACT W2 Only

Job Title: Data Scientist

Location: Remote - United States

About the Role

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

• Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
• Collaborate with data scientists to translate models into production-ready code.
• Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
• Design and optimize mathematical programming and machine learning models for real-world applications.
• Work independently to break down complex problems into actionable development tasks.
• Ensure code quality, scalability, and maintainability in a production environment.
• 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 integrate into data science workflows.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting