REMOTE- Data Scientist

Insight Global; Manchester (CT); Remote; USD 110,000 - 117,000; Full time

Job summary

Insight Global is seeking a Lead Data Scientist to develop data, analytics, and AI solutions that transform Sales, Inventory, and Operations Planning (SIOP) and drive business impact across inventory performance and customer service.

The role partners with stakeholders to translate complex operational data into actionable insights, scalable analytics products, forecasting models, dashboards, and AI tools. This is a 6 month contract with potential to convert, offering compensation of $80 - $85/hr.

Qualifications

• Experience delivering analytics products for operations and supply chain.
• Ability to build end-to-end analytics assets and dashboards.
• Strong data modeling and forecasting capabilities.

Responsibilities

• Deliver high-impact analytics by partnering with cross-functional leaders to define business problems and develop solutions that improve inventory, on-time delivery, and cost performance.
• Build end-to-end analytics products, including: Data pipelines and Snowflake tables, Forecasting and time-series models, Inventory analytics, Dashboards and reporting assets, AI-powered decision-support tools.
• Maintain and operate analytics assets in production with accuracy and reliability; ensure data quality and continuous improvement.

Skills

SQL

Python

Data pipelines

Forecasting

Time-series models

Data quality

Independent thinking

Tools

Snowflake

DevOps

Job description

Job Description

The Lead Data Scientist will build data, analytics, and AI solutions that support Sales, Inventory, and Operations Planning (SIOP) transformation and drive business impact across inventory performance and customer service. This individual will partner closely with business stakeholders to transform complex operational data into actionable insights, scalable analytics products, forecasting models, dashboards, and AI-powered tools.

Key Responsibilities

• Deliver high-impact analytics by partnering with cross-functional leaders to define business problems and develop solutions that improve inventory, on-time delivery, and cost performance.
• Build end-to-end analytics products, including:
• Data pipelines and Snowflake tables
• Forecasting and time-series models
• Inventory and clear-to-build analytics
• Dashboards and reporting assets
• AI-powered decision-support tools
• Maintain and operate analytics assets in production, ensuring accuracy, reliability, and ongoing performance.
• Engineer trusted datasets by transforming large, complex operational data into structured, high-quality data assets and implementing continuous improvement frameworks for data quality.
• Translate analytical findings into clear recommendations and drive adoption of tools and insights across the organization.

This is a 6 month contract with the intention to convert. Compensation: $80 - 85/hr. Exact compensation may vary based on several factors, including skills, experience, and education.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 1)SQL, Python, building and managing data pipelines in Snowflake, everything related to dev Ops
• 2)Modeling including data prep (join different tables, create cuts, create longitudinal data sets etc.), feature engineering (create calculated metrics for complex analysis), and forecasting and so on
• 3)Independent thinking to quality check output; ask questions; and generate insights