Data Science Manager, Marketing Analytics

About the role

This is a player/coach role that will lead the data science and analytics engineering functions within the Marketing Analytics team, while driving innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. You will work closely with direct to consumer and B2B marketing leaders to define and execute Ibotta's growth strategy, translating business questions and performance goals into Machine Learning driven personalization models This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.

Responsibilities

• Lead data science projects end-to-end: gathering requirements, cleaning complex datasets, and developing, evaluating, and productionizing innovative technical solutions, while optimizing existing incentive models
• Build centralized and extensible code repositories, packages, and workflows in Python.
• Implement MLOps best practices and establish automated processes to scale insights across Ibotta.
• Flex work between advanced ML capabilities and descriptive analyses to meet the business where it's at.
• Confidently speak with internal and external stakeholders about foundational models and project deliverables.
• Serve as a leader across the department, bringing operational and culture-building best practices.
• Research industry trends to stay abreast of new developments and proactively suggest areas of improvement.
• Uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and the belief that a good idea can come from anywhere.

Requirements

• 5+ years of experience in a measurement-driven function with experience working directly with leadership.
• 2+ years of management experience with a proven ability to hire and develop talent.
• Bachelor's degree in computer science, data analytics, computer engineering, or a related field.
• Expert-level experience with data analysis and pipeline tools, including Databricks, SQL, Python, Spark, Airflow, and Git/GitHub.
• Experience hiring, leading, developing, and retaining talent
• Deep expertise in machine learning tools (e.g., Tensorflow, sci-kit learn, Gradient Boosting, Neural Networks) and statistical techniques (Causal inference, A/B testing).
• Demonstrated analytical ability and problem-solving skills; experience in marketing/media measurement is strongly preferred.
• Excellent interpersonal and communication skills, with the ability to collaborate across functional areas.
• Curiosity and the capability to prioritize effectively in a fast-paced environment.
• About Ibotta ("I bought a...")
• To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com .
• Additional Job Description
• This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals .
• Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
• Applicants must be currently authorized to work in the United States on a full-time basis.
• Applicants are accepted until the position is filled.
• For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our

Benefits

Additional Information

Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. This position is located in Denver, Colorado, as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.

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