Senior Data Scientist

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

As a Senior Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust datasets for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.

This position is available in multiple locations:

Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday).
 

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you’re not in the Denver metro area or the listed states, relocation reimbursement to Denver is available.

What you will be doing:

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

• Establish strong cross departmental relationships with stakeholders and peers to understand business problems and opportunities for improvements

• Analyze, and at times build, large and novel datasets to extract actionable insights to inform model development and understand customer behavior and or product performance

• Ability to prioritize projects based on business impact and value; lead and manage large scale projects

• 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

• Become an expert of the Ibotta Data Ecosystem and how various teams leverage Ibotta’s suite of data to answer domain specific business questions through advanced analytic techniques

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

• Provide data science mentoring and education to this team and others across the company

• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere

What we are looking for:

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

• Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required

• 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

• Applied machine learning and statistical algorithms to optimize processes, predict outcomes, forecast trends, and enhance decision-making, driving improved efficiency and results

• Expert-level Python 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 in MLOps a strong plus but not required

About Ibotta ("I bought a...")

Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.

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 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: $130,000 - $165,000. 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. 

• 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.

• 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.

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