Data Scientist

Responsibilities

• Understand the assigned business challenge and develop a plan to identify, obtain, and analyze the necessary data to drive improved business performance
• Extract information from internal systems, industry reports, public information, field reports, and other data sources to identify statistical relationships and translate them into internal, operational insights
• Conduct statistical analyses, randomized controlled trials, and predictive modeling
• Apply and integrate statistical, mathematical, and predictive modeling to manage and manipulate complex high-volume data from a variety of sources
• Quantify the competitive performance of business segments
• Evaluate potential operational changes
• Design new approaches and methodologies, ideally using AI & ML algorithms when appropriate
• Review program data consistently to provide corrective action when necessary, based on information collected and current trends to maximize business performance
• Effectively work and build relationships with those of diverse backgrounds and organizational levels

Qualifications

• Bachelor’s degree in statistics, applied mathematics, data science, data analytics, or related discipline; graduate degree preferred
• Minimum of 1-4 years of experience in data science
• Proficiency with data mining, predictive modeling, and statistical analysis
• Full proficiency in SQL, Python, R, or similar coding languages and platforms
• Experience with Fabric and Power BI
• Basic familiarity with Salesforce, Oracle, and GL/Financial data
• Strong ability to concisely present and explain large amounts of information and complex methods
• Shown ability to think analytically with great attention to detail
• Shown experience in following complex instructions
• Shown understanding of business operations
• Shown ability to work independently and in a team environment
• Willingness to advance business ideas that are sometimes unstructured and without clearly defined outcomes
• Shown excellent communication and interpersonal skills
• Shown active listening skills and effective communication including an openness to diverse input and feedback