Data Scientist

Join us as a Data Scientist and support us in transforming raw data into actionable intelligence. You'll extract, clean, and analyze data to uncover trends and opportunities, ask insightful questions, and present your findings clearly to stakeholders. We're looking for someone with a strong background in statistics, proficiency in Python, R, SQL, and data visualization tools, and a creative problem-solver.

Join us for an innovative environment, growth opportunities, and a collaborative team. Ready to make an impact? Apply today!

Collaborate

Work with senior data scientists and management to understand business needs.

Innovate

Develop new statistical models for data analysis.

Communicate

Share findings with stakeholders clearly.

Drive Insights

Implement analytics for smarter business processes.

Stay Updated

Keep up with industry developments.

Identify Opportunities

Use data to solve business problems.

Data Mining

Analyze data to improve products and strategies.

Evaluate Sources

Assess new data sources and collection methods.

Custom Models

Create tailored data models and algorithms.

Predictive Modeling

Enhance customer experiences and business outcomes.

A/B Testing

Manage the A/B testing framework.

Coordinate

Work with teams to implement and monitor models.

Monitor Performance

Develop tools to track model performance and data accuracy.

What We’re Looking For

Level of Formal Education: A Bachelor's degree (BA, BS) or equivalent.

Area of Study

Statistics, Applied Mathematics, Economics or related discipline. Master’s degree preferred Years of Experience: 2 to 4 years’ experience Type of Experience: Experience in statistics. You’ll Go The Extra Mile If You Have Special Certifications or Technical Skills: Job Interviewing/ Negotiations.

Experience with Excel, PowerPoint, SQL, SAS, and experience with other programming languages (i.e.,R, Python,). Advanced pattern recognition and predictive modeling experience Solid statistical skill set is required like multiple linear regression, multivariate adaptive regression spline, cluster analysis, time series modeling, etc.

A strong data skill set is also needed-- like SQL programming and SAS data step programming to get the data prepared for analysis and modeling.