Data Scientist
GTECH LLCAbout the role
SQL
Snowflake preferred
Python
Claims Data experience
ML Models
Excellent communications skills
Must have enterprise experience and experience working with large datasets.
- Master s degree required
- 7 years of experience in a quantitative or computing field such as Data Analytics, Data Science, Computer Science, Statistics, Econometrics, Predictive Analytics, or related field
- Experience working with large datasets and in an enterprise level environment
- Healthcare experience is a plus
- Expertise in statistical modeling and predictive analytics techniques, such as regression analysis and decision trees
- Ability to use advanced statistical modeling techniques to convert data into actionable market insights
- Strong problem-solving skills with ability to think and act strategically
- Superb communication skills explaining complex quantitative models to Business Development, Marketing, and Senior Executives
- Achieve defined project goals within customer deadlines; Proactively communicate status and escalate issues as needed
- Strong programming skills for pulling data, quantifying, and visualizing results
- Comfortable using varied platforms and applications such as SQL and Snowflake
- Proficiency in Microsoft Office products (Microsoft Word, Power Point, Excel and Access) and statistical packages, such as R and Python
- Quality-focused with attention to detail and accuracy
- Experience in Python
- Experience Developing Machine Learning Models
- Experience in Power BI
- Ability and willingness to stay informed about emerging technologies, including artificial intelligence, and their relevance to the role
Responsibilities
- Achieve defined project goals within customer deadlines
- Proactively communicate status and escalate issues as needed
- Convert data into actionable market insights using advanced statistical modeling techniques
Qualifications
- Master's degree required
- 7 years of experience in a quantitative or computing field
- Experience working with large datasets in an enterprise level environment
- Expertise in statistical modeling and predictive analytics techniques
- Strong programming skills for pulling data, quantifying, and visualizing results
Skills mentioned
About GTECH LLC
GTECH LLC is a global staffing and recruiting company built on the belief that the right talent can empower businesses to scale, innovate, and lead in their industries. We specialize in sourcing, assessing, developing, and managing skilled talent across a wide range of industries, helping organizations solve their most pressing workforce challenges while simultaneously creating meaningful and sustainable employment opportunities for professionals In today’s fast-changing world of work, organizations must continuously adapt to new challenges—technological disruption, evolving customer demands, increasing competition, and the need to build agile, high-performing teams. At GTECH LLC, we understand that people are at the core of every transformation. Without the right talent, no digital initiative, market expansion, or innovation strategy can succeed. We are more than your staffing provider—we are a strategic workforce partner. By combining industry expertise, global reach, and cutting-edge recruitment strategies, we enable companies to meet the future of work with confidence. At GTECH, our mission is simple yet powerful: - For Clients: To deliver high-quality, skilled professionals who contribute directly to business success. - For Talent: To connect individuals with opportunities that align with their skills, career goals, and aspirations. - For the Industry: To redefine staffing by combining traditional recruitment expertise with advanced technology, data-driven insights, and a focus on human potential. We believe in creating a win-win ecosystem where organizations gain the competitive advantage they need, and professionals find careers that give them purpose, stability, and growth. Why GTECH - Choosing a staffing partner is about more than filling roles—it’s about building relationships, driving outcomes, and ensuring long-term success.