Applied Data Science Manager

dunnhumby • Cincinnati, OH

1d

About The Position

The Applied Data Science Manager leads a team of applied data scientists to turn complex client problems into compelling insights and commercially impactful recommendations. The role combines technical expertise, client understanding and people leadership to connect client strategy with advanced data science and ensure the team delivers high-quality, timely work.

The manager partners with Client Leads to shape client workplans, allocates people and resources, and identifies opportunities to create value through dunnhumby products, analytical techniques and science. The role also builds client and internal relationships, guides the deployment and reuse of data science solutions, and develops a strong team with high standards for quality and ways of working.

Requirements

• Experience applying advanced statistical models and machine learning algorithms to complex problems.
• A practical approach to using data to create tangible customer impact.
• Experience handling large data volumes with modern processing tools such as Hadoop, Spark, SQL or Python.
• Strong data analysis, modelling and project management skills.
• Ability to frame problems, test hypotheses and turn findings into clear recommendations.
• Strong client and stakeholder management skills.
• Ability to present analytical methodologies, insights and solutions through effective storytelling.
• Experience leading and developing people.
• Appreciation for product development, quality assurance and creating reusable, scalable data science solutions.

Responsibilities

• Lead a team of applied data scientists and create an environment focused on clear commercial impact.
• Partner with Client Leads to shape annual client workplans around business needs and strategy.
• Allocate people and resources to deliver measurable, timely results.
• Translate complex client challenges into insights and recommendations using advanced data science techniques to support executive decision-making and action.
• Build relationships with internal stakeholders and clients so the team understands client challenges, growth strategies and measures of success.
• Champion reuse of dunnhumby science, modules and code.
• Guide the team in deploying data science algorithms and market products on the appropriate technology stack.
• Hire, mentor, motivate and retain a strong team of applied data scientists.
• Maintain high standards for quality assurance, ways of working and coding.
• Identify opportunities to create value through products, analytical techniques and science.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed