Staff Data Scientist

Ibotta is seeking a Staff Data Scientist to join our fast growing Core Data & Analytics team and move forward our mission to Make Every Purchase Rewarding. We are a cross-functional team that creates analytical solutions across the entire business. We seek to understand, and provide recommendations to spur business growth, serving as an expert within the company for delivering analytical solutions that solve complex challenges.

As a Staff Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations to identify opportunities to grow the business, support and challenge strategic options, and build state-of-the-art tools. You will also build trustworthy and robust core data assets for use throughout the organization. This role will immediately drive impact through enabling novel strategies to measure incrementality in advertising spend using methodologies such as causal inference and time series analysis.

This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States, Canada, or Mexico.

What you will be doing:

• Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & Advocate for Savers to help Make Every Purchase Rewarding

• Provide subject matter expertise and ownership of incrementality Ibotta and aligned to the CPG industry

• Establish and lead best practices, setting the example for the team

• Initiate and drive collaboration with stakeholders, architects, and data platform to discover, define, cleanse, and refine the data needed for analysis and modeling

• Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior

• Provide state-of-the-art frameworks for measuring incrementality for brand partners

• Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities

• Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance

• Harden data pipelines and models for production deployment and monitoring of performance over time

• Provide mentoring and education to this team and other teams across the company

What we are looking for:

• 7+ years of experience making significant positive impacts in a professional data science or machine learning role

• Required: Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred.

• A history of and passion for driving important decisions using data and data storytelling

• A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus 

• Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms, particularly Causal Impact, Linear Programming, Bayesian Neural Networks, and Markov Decision Process

• Expert-level Python and/or R knowledge, skills, and abilities. Spark or PySpark experience is a strong plus

• Excellent statistical analysis skills, with a solid understanding of experimental design and time series analysis a strong plus

• Superior analytical and problem solving skills

• Expert-level knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas

• Experience manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams

• Experience developing solutions for incrementality for the consumer packaged goods industry

About us:

Built in Denver, CO, Ibotta ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target and Uber, we’ve delivered over $1B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.

To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.

Additional Details:

• This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, profit sharing and equity. Candidates must live in the United States, Canada, or Mexico.

• Base compensation range: $170,000-200,000. This compensation range is specific to the state of Colorado's local labor market and may vary for employees living in other areas.

• 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.

• If living in the United States, 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.

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