Ibotta

Data Science Manager, Marketing Analytics

Ibotta$158K — $185K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in measurement-driven roles, with leadership engagement.
  • 2+ years of management experience and talent development.
  • Bachelor's degree in computer science, data analytics, or related field.
  • Expertise in data analysis tools: Databricks, SQL, Python, Spark, Airflow, Git/GitHub.
  • Deep knowledge of machine learning tools (TensorFlow, scikit-learn) and statistical techniques (A/B testing).

Responsibilities

  • Lead end-to-end data science projects from requirements to implementation.
  • Build centralized code repositories and workflows in Python.
  • Implement MLOps best practices and scale insights across the company.
  • Balance machine learning and descriptive analyses to support business needs.
  • Communicate confidently with stakeholders about models and deliverables.
  • Serve as a departmental leader fostering strong culture and operations.
  • Research industry trends and propose improvements.

Benefits

  • Competitive pay and flexible time off.
  • Comprehensive benefits package including medical, dental, and vision.
  • Employee Stock Purchase Program and 401k match.
  • Denver office perks like paid parking and occasional meals.
  • Relocation bonus for candidates moving to Denver.
Full Job Description
Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. 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.

What You'll Be Doing
  • 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.


What we're looking for:
  • 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.


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.
  • Base compensation range: $158,000 - $185,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.
  • 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 security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.


Recruiting Agency Notice

Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.

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About Ibotta

Ibotta is a mobile app that allows users to earn cash back on purchases made at participating retailers. The app was founded in 2011 and has since grown to become one of the most popular shopping apps in the United States. Ibotta partners with over 1,500 retailers, including Walmart, Target, and Amazon, to offer users cash back on their purchases. The company has raised over $85 million in funding and has been recognized as one of the fastest-growing companies in the country by Inc. Magazine.
Learn more about Ibotta
Size
500 employees
Industry
Founded
2011

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