Customer First Analytics Data Science Manager - FLEX Location - Atlanta Preferred

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

The Customer First Analytics Senior Data Science Manager leads the development, deployment, and operationalization of advanced analytics, machine learning, and AI-driven solutions that enable Sales and Marketing teams to drive revenue growth, improve customer engagement, and enhance customer retention. This role develops and executes a roadmap for high-impact analytical use cases across the Commercial organization, transforming large volumes of structured and unstructured data into predictive and prescriptive insights that drive measurable business outcomes.

The Senior Data Science Manager is responsible for planning, developing, testing, validating, and monitoring analytical models to ensure they meet business needs and align with analytical best practices. Working closely with cross-functional stakeholders, this individual solves complex business challenges, identifies growth opportunities, and translates data-driven insights into strategic recommendations.

In addition, this role provides technical leadership and mentorship to junior data scientists, fostering collaboration, innovation, and professional growth. The position influences department and project teams, drives alignment across stakeholders, and helps advance UPS Commercial Analytics through data-driven decision-making and continuous innovation.

At UPS, you'll have the opportunity to work with talented teams, explore innovative possibilities, and grow your skills in an energetic culture that empowers employees to improve every day. If you have the passion, leadership, and analytical expertise to drive results and inspire others, this role offers an exciting opportunity to take Commercial Analytics to the next level.

Key Responsibilities

• Develops and maintains predictive models that support customer acquisition, retention, churn prevention, cross-sell, upsell, customer lifetime value, and other initiatives
• Partners with Sales and Marketing leaders to identify high-value business opportunities and quantify potential impact
• Designs customer segmentation targeting and personalization efforts
• Applies machine learning, statistical modeling, and experimentation techniques to solve complex business challenges
• Designs and evaluates tests and controlled experiments to measure model effectiveness
• Partners with data engineering teams to develop trusted, scalable, and well-governed data pipelines
• Collaborates closely with cross functional / cross business unit stakeholders to solve key business problems
• Influences strategic decisions through data-driven recommendations

Qualifications

Required

• Must have a master's degree (or international equivalent) or be a current employee with a minimum of three years of UPS experience
• Possesses 5+ years of data science, machine learning, predictive analytics, or advanced analytics roles
• Possesses experience leading projects or managing data scientists and analytics professionals
• Exhibits critical thinking and problem-solving skills
• Demonstrates advanced proficiency in Python, SQL, PySpark, and other analytical programming languages   
• Maintains strong knowledge of machine learning, statistical modeling, forecasting, clustering, large language models, optimization, and experimental design
• Demonstrates strong analytical, problem-solving, and quantitative modeling skills
• Displays strong understanding of UPS data systems and sources
• Possesses excellent written, visual, and verbal communication skills with the ability to present insights to both technical and non-technical audiences
• Demonstrates proven ability to manage multiple priorities and influence cross-functional stakeholders

Preferred

• Master’s degree in Statistics, Data Analytics, or a related field
• Demonstrates proficiency in R

Additional Information

• This job is an internal grade 30F
• The last day to apply for this role is October 19, 2026 (11:59 PM EST)

Our compensation reflects the cost of labor across several US geographic markets.  The base pay for this position ranges from $108,720.00/year in our lowest geographic market up to $201,540.00/per year in our highest geographic market.  Pay is based on several factors including, but not limited to market location, and may vary depending on the job-related knowledge, skills, and education/training and a candidate’s work experience.  Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position.  Payments under these annual programs are not guaranteed and are dependent upon a variety of factors, including, but not limited to, individual performance, business unit performance, and/or the company’s performance.  Hired applicants may be eligible for medical, dental & vision benefits, Employee Assistance Program, personal/sick paid time, Educational Assistance Program, 401(k) Retirement Savings Plan, vacation, basic life and voluntary group life insurance programs, Health Savings, Flexible Spending and Dependent Care accounts, Discounted Employee Stock Purchase Plan, Adoption Assistance Benefit, and paid holidays. 

This position is eligible for a bonus based on company performance.

Employee Type:
 

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