Senior Data Scientist

Insight Global; Richardson (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Insight Global is seeking a Data Scientist/Senior Data Scientist to advance analytics products, predictive models, and proprietary algorithms that influence business decisions. You will partner with data scientists, engineers, product teams, and stakeholders to analyze large datasets, build ML solutions, and deliver actionable insights tied to business and financial outcomes.

The role emphasizes end-to-end problem solving in a dynamic environment, with opportunities to mentor junior data

Qualifications

• Bachelor's or Master’s degree in a quantitative field.
• 3+ years of Data Science/Analytics experience.
• Proficiency in Python and SQL, and ML model deployment.

Responsibilities

• Develop analytics products, predictive models, and proprietary algorithms.
• Collaborate with data scientists, engineers, and product teams.
• Communicate findings to technical and non-technical stakeholders.

Skills

Python

SQL

ML Modeling

Data Analysis

Communication

Stakeholder Interaction

Mentoring

Education

Bachelor's degree in Data Science/CS/Statistics

Master’s degree in Data Science/Statistics/CS

Tools

PySpark

Databricks

Azure

GCP

XGBoost

scikit-learn

Tableau

Power BI

Job description

Job Description

A client of Insight Global is seeking a Data Scientist/Senior Data Scientist to support the development of new analytics products, predictive models, and proprietary algorithms that drive business decision-making. This individual will partner closely with data scientists, engineers, product teams, and business stakeholders to analyze large datasets, develop machine learning solutions, and uncover actionable insights tied to significant business and financial outcomes. Responsibilities include building and enhancing forecasting, regression, and classification models, optimizing SQL queries, validating data quality, evaluating model performance, and communicating findings to both technical and non-technical audiences. The ideal candidate is someone who enjoys solving complex problems from end to end, can work independently in an evolving environment, and is excited by the opportunity to influence high-impact business initiatives through data-driven decision making.

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

• 3+ years of experience in Data Science, Analytics, Machine Learning, or a related field
• Strong hands-on experience with Python and SQL
• Experience building and deploying machine learning models, including regression and classification models
• Experience analyzing and working with large, complex datasets
• Strong data validation, exploratory analysis, and problem-solving skills
• Ability to optimize queries and work efficiently with large-scale data environments
• Experience translating business problems into analytical solutions and communicating results to both technical and non-technical stakeholders
• Strong business acumen with the ability to connect analytical work to business outcomes and financial impact
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
• Experience developing forecasting/time-series models
• Healthcare, payer, PBM, pharmaceutical, claims, or healthcare financial analytics experience
• Experience with PySpark, Databricks, Azure, GCP, or other cloud-based data platforms
• Experience with XGBoost, scikit-learn, or similar machine learning frameworks
• Experience with Tableau, Power BI, or other data visualization tools
• Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field
• Experience mentoring junior data scientists or leading projects independently
• Experience working on initiatives tied to cost optimization, profitability, forecasting, or financial planning