Data Scientist: Insights, ML & Visualizations

vst; Irving (TX); On-site; USD 95,000 - 140,000; Full time

Job summary

Vistra Corporate Services Company in Irving, Texas seeks a skilled Data Scientist to design and implement analytical solutions that support business decisions. You will work with stakeholders to understand requirements, build data models, and deliver insights through dashboards and reports.

The role requires advanced statistics, ML, and strong communication skills. You will handle diverse projects, maintain data pipelines, and present findings to non-technical audiences while staying current

Qualifications

• Master's or Ph.D. in a quantitative field such as statistics or CS.
• 1–3 years of data science experience or related field.
• Proficient in statistical analysis, ML Ops, and data visualization.
• Familiar with Snowflake, Hadoop, Oracle and dashboarding tools like PowerBI/Tableau.
• Comfortable with Python/SAS/R codebases.

Responsibilities

• Identify business needs and opportunities for data-driven insights.
• Extract, clean, and analyze complex datasets using statistical techniques.
• Develop and execute statistical models and ML algorithms to drive decisions.
• Design and implement data visualizations to communicate insights.
• Support presentation of findings through clear charts and reports.
• Collaborate with cross-functional teams to ensure data accuracy and reliability.
• Develop and maintain data pipelines and databases.
• Stay up-to-date with emerging data science trends and apply them.

Skills

Statistical analysis

ML Ops

Data visualization

Education

Master's or Ph.D. in Statistics, Mathematics, Computer Science, or related field

Tools

Snowflake

Hadoop

Oracle

Python

SAS

R

PowerBI

Tableau

Grafana

Job description

Vistra Corporate Services Company in Irving, Texas seeks a skilled Data Scientist to design and implement analytical solutions that support business decisions. You will work with stakeholders to understand requirements, build data models, and deliver insights through dashboards and reports.

The role requires advanced statistics, ML, and strong communication skills. You will handle diverse projects, maintain data pipelines, and present findings to non-technical audiences while staying current