Flexible Data Science Rotational Program Jobs in Colorado

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. The ideal candidate will have experience developing and deploying models into production, the desire to serve as a leader and manager across the department, ability to evangelize data science, and willingness to provide descriptive analyses. You will also be responsible for working closely with cross-functional leaders to define and execute on Ibotta’s growth strategy.

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.

What you’ll be doing:

• Work with cross functional leadership to understand business needs and prioritize the most impactful analytical projects to drive business decisions and growth
• Build and retain a team of highly motivated data scientists
• Confidently speak with internal and external stakeholders about foundational models and project deliverables
• Establish automated processes to scale insights across Ibotta
• Balance the management of core data & analytics deliverables
• Serve as a leader across the department, bringing operational and culture building best practices
• Research industry trends and standards to stay abreast of new developments and proactively suggest areas of improvement
• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & 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
• Bachelor’s degree in computer science, data analytics, computer engineering, information systems required
• Experience hiring, leading, developing, and retaining talent
• Demonstrated analytical ability, conceptual thinking, and problem-solving skills. Experience in media measurement is strongly preferred
• Strong written and verbal communication skills, able to distill complex analytical solutions into actionable insights
• Excellent interpersonal skills with the proven ability to collaborate across functional areas
• Curiosity and the commitment to continually ask questions of our data and business
• Excels in a fast-paced environment with the capability to prioritize effectively
• Industry experience causal inference, regression, A/B, ML, and/or advanced statistical modeling to build predictive and prescriptive models
• Experience using modern data analysis tools (SQL, Python, etc.) and data visualization tools (Looker, Tableau, Mode)

Additional Details:

• This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals.
• Base compensation range: $158,000 - $185,000. 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. Total compensation for this role also includes a variable component in addition to base salary.
• Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with 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.
• 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.