Data Scientist

• 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.