Data Scientist

Job Description

same with this : - Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, or a related quantitative field required; master's degree or relevant professional certifications and extensive practical experience highly preferred.

• 3-5 years of practical experience in advanced analytics, predictive modeling, and feature engineering.

• Strong programming proficiency in Python, SQL, and familiarity with scripting languages such as Bash or PowerShell.

• Experience deploying models using DevOps methodologies (CI/CD, containerization, version control with Git).

• Demonstrated experience with common data science methodologies: decision trees, neural networks, regression, time-series analysis, PCA, and ensemble modeling.

• Effective communication skills to clearly present complex insights to technical and non-technical stakeholders.

• Understanding of data governance, privacy, and ethical considerations in data handling.

Pay Rate: 40-70/hr

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 [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, or a related quantitative discipline required; a master's degree or relevant certifications combined with extensive hands-on experience is strongly preferred.

3-5 years of applied experience in advanced analytics, predictive modeling, and feature engineering.

Proficient in programming with Python and SQL, with working knowledge of scripting languages such as Bash or PowerShell.

Skilled in deploying models using DevOps practices, including CI/CD pipelines, containerization, and Git-based version control.

Solid understanding of core data science techniques such as decision trees, neural networks, regression analysis, time-series forecasting, PCA, and ensemble methods.

Excellent communication skills with the ability to translate complex analytical insights for both technical and non-technical audiences.

Familiarity with data governance principles, privacy regulations, and ethical considerations in data management.