Data Scientist

Insight Global
Brentwood, United States of America
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Brentwood, United States of America

Tech stack

Artificial Intelligence
Data analysis
Big Data
Data Visualization
Python
Machine Learning
NumPy
Pandas
Scikit Learn

Job description

Design, build, and deploy machine learning and AI models to support business initiatives

  • Analyze large datasets to uncover trends, patterns, and actionable insights

  • Partner with cross-functional teams (engineering, product, business stakeholders) to deliver AI-driven solutions

  • Develop and maintain data pipelines and workflows to support model training and deployment

  • Translate complex analytical findings into clear, actionable business recommendations

  • Continuously evaluate and improve model performance and scalability

  • Support ongoing AI strategy and innovation efforts

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 HR@insightglobal.com.To 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/.

Requirements

Hybrid onsite 2 days per week

  • 5+ years of experience in Data Science

  • Strong proficiency in Python and data science libraries (e.g., Pandas, NumPy, scikit-learn)

  • Hands-on experience with machine learning, statistical modeling, and data analysis

  • Experience working with large datasets and data visualization tools

  • Ability to communicate complex technical concepts to non-technical stakeholders

  • Strong analytical thinking and problem-solving skills

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