Associate Data Scientist

Position Purpose

The Associate Data Scientist on the Customer Experience Economics team supports data science initiatives that drive business profitability, operational efficiencies, and an improved customer experience. This role sits within Decision Analytics, an internal data science team embedded in Finance, offering a unique vantage point to partner across Customer, Delivery, and broader Finance initiatives. The environment demands a curious, agile learner who can quickly adapt to new business contexts and data landscapes. You will work alongside data scientists and business partners to solve real business problems and turn results into insights that support strategic decision-making for leadership. You will also learn to tell the story behind the data and take ownership of your work, shaping it for both technical and leadership audiences.

Key Responsibilities

• 70% Solution Development: Design and develop algorithms and models against large datasets to generate business insights; support data science projects through effective analysis; execute tasks with high efficiency and quality; consult with senior data scientists on the selection and interpretation of advanced analytical methods; learn about assigned business areas to incorporate domain knowledge into solutions.
• 20% Communicating Results: Effectively communicate insights and recommendations to technical and non-technical audiences; prepare reports, updates, and presentations on project progress; highlight potential impacts of recommendations to drive alignment and implementation.
• 10% Technical Learning: Stay current on industry trends, best practices, and emerging methodologies; continuously develop skills in data analytics concepts; identify opportunities to apply learnings.

Direct Manager/Direct Reports

• Reports to manager or above
• 0 direct reports

Travel Requirements

• No travel required.

Physical Requirements

• Mostly sedentary with frequent opportunity to move; occasional light lifting.

Working Conditions

• Comfortable indoor environment; infrequent unpleasant conditions.

Minimum Qualifications

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications

• Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
• 3+ years of experience in business intelligence and analytics
• Working knowledge of Microsoft Excel and PowerPoint
• Experience with a modern scripting language (preferably Python)
• Experience running queries against data (preferably with Google BigQuery or SQL)
• Experience in predictive modeling, data mining, and data analysis
• Experience with data visualization software (preferably Tableau)
• Experience using statistical techniques to identify key business insights
• Basic knowledge or exposure to prescriptive modeling (optimization, computer vision, recommendation, search, or NLP)
• Basic knowledge or exposure to predictive modeling, data mining, and data analysis

Minimum Education

• Bachelor's degree program or equivalent in a field of study related to the job.

Preferred Education

• No additional education

Minimum Years of Work Experience

• 0

Preferred Years of Work Experience

• No additional years of experience

Minimum Leadership Experience

• None

Preferred Leadership Experience

• None

Certifications

• None

Competencies

• Action Oriented: Taking on new opportunities and tough challenges with urgency and energy
• Business Insight: Applying business and marketplace knowledge to advance organizational goals
• Collaborates: Building partnerships and working collaboratively to meet shared objectives
• Communicates Effectively: Delivering multi-mode communications that convey clear understanding for different audiences
• Customer Focus: Building strong customer relationships and delivering customer-centric solutions
• Drives Results: Consistently achieving results, even under tough circumstances
• Nimble Learning: Actively learning through experimentation when tackling new problems
• Optimizes Work Processes: Knowing the most efficient processes to get things done, with a focus on continuous improvement
• Plans and Aligns: Planning and prioritizing work to meet commitments aligned with goals
• Self-Development: Actively seeking new ways to grow and be challenged