Data Scientist- Mid-Level

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Data Scientist- Mid-Level

By / October 5, 2026

• Location: Framingham, Massachusetts
• Type: Contract
• Job #107475

Job Title: Data Scientist - Mid Level

Contract Duration: 1 year, possible extension

Location: Framingham, MA

Work Arrangement: Remote

Pay Range: $65-$75/hour

Summary

As a Data Scientist, you'll be part of a dynamic and collaborative environment that touches every aspect of the business-from product placement and inventory optimization to systems engineering analytics and modeling. You'll work closely with cross-functional partners across product, engineering, and merchandising, providing both strategic insights and ad-hoc data support to fuel smarter decisions.

Your Impact

• Design, develop, and deploy machine learning models and statistical algorithms to solve complex business and IT problems
• Analyze large, structured and unstructured datasets to extract meaningful insights and drive data-informed decisions
• Build, maintain, and run automated and ad-hoc reports to support business operations and strategic initiatives
• Collaborate with cross-functional teams to identify opportunities for leveraging data and fulfill ad-hoc data requests to support timely and informed decision-making
• Build and maintain data pipelines and workflows to support scalable analytics, reporting, and model deployment
• Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders
• Conduct Time-Series, Sequential testing and other experimental designs to evaluate the impact of business and IT initiatives
• Provides guidance on technical approaches, and best practices

Required Qualifications

• 5-10 years of professional experience in a data analytics or related role.
• Proficiency in Python, SQL, Unix Shell Scripting (Lunex Shell Scripting), Stored Procedures.
• Experience with one OR more machine learning frameworks and data analysis/visualization libraries in Python (e.g. Pandas, scikit-learn, PyTorch, Matplotlib, Plotly, etc.)
• ETL tool experience (Talend, DataStage, or MoveIT Automation preferred)
• EDW/ DB experience (Snowflake OR Oracle databases preferred)
• Experience with CI/CD pipelines
• Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively
• Highly developed verbal and written communication skills, with the ability to work up and down within the organization to influence others and achieve results

Preferred Qualifications

• A degree in a quantitative field such as Data Science, Computer Science, Engineering or Mathematics
• Proven application of advanced techniques in a business setting with impactful results
• CI/CD platforms (Jenkins, GitHub, Control-M)
• Familiarity with data visualization tools such as Tableau and Power BI
• Experience designing and evaluating experiments, including A/B testing and other statistical test methodologies
• Experience with time series modeling techniques and/or product recommendation systems
• Familiarity with data ingestion, transformation, and integration

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