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Ibotta

Staff Decision Scientist, Product Analytics

Reposted 10 Hours Ago
Be an Early Applicant
Hybrid
Denver, CO
124K-142K Annually
Senior level
Hybrid
Denver, CO
124K-142K Annually
Senior level
As a Staff Decision Scientist, you'll analyze data, conduct A/B tests, build reporting tools, and provide insights to support business decisions. You'll collaborate with cross-functional teams to optimize strategies based on data findings.
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Would you like to be part of an industry-leading analytics organization? Ibotta is seeking a Staff Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. With over 50 people, Ibotta's Analytics team is a place where individuals at all levels can learn and grow in their careers. We leverage the latest developments and best practices in data analysis, testing methodologies, statistics, and machine learning to drive value for Ibotta.

Data is considered a strategic asset here at Ibotta and this role will provide the opportunity to gain a deep understanding of our data by working with the data through its full lifecycle. As a Staff Decision Scientist, you will build the tools necessary to conduct deep dive analyses of our products; and create accurate and efficient reporting. This may include validating data, building data pipelines, and developing statistical models. You will also be conducting A/B tests to make product decisions and provide insights to business stakeholders in support of key strategies.

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 will be doing:

  • Understand and report business performance in detail to leadership as well as identify opportunities for business optimization and advanced strategy

  • Design, develop and deploy advanced analytics solutions end-to-end, as a trusted analytics partner to our internal stakeholders and leadership teams to support business decisions

  • Communicate complex analyses and data intricacies in a clear, concise manner to both technical and non-technical audiences

  • Ideation, development, and support on strategic initiatives including statistical modeling and advanced analytics

  • Place actionable data points and trends in context for leadership to understand actual performance and uncover opportunities

  • Working cross-functionally with the Product team to analyze usage and uncovering key, actionable insights about Ibotta users behavior

  • Designing and measuring controlled experiments to determine the potential impact of new approaches

  • Brainstorming new ways to leverage our data for the betterment of Ibotta’s products

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

What we are looking for:

  • 7+ years of practical work experience in Analytics

  • Bachelor’s degree in computer science/mathematics/statistics/data science or equivalent experience preferred

  • Experience using modern data analysis and pipeline tools (Python, Databricks, Hive, Spark, Airflow, GitHub etc)

  • Experience with modern BI tools (Mode, Looker, Tableau, etc)

  • An understanding of the key concepts of consumer behavior

  • Proven expertise using SQL to wrangle, clean, and query large datasets

  • Ability to think creatively, provide thoughtful insights, and develop impactful automated reporting to management

  • Ability to develop, automate, visualize, analyze, and communicate learnings to leadership

  • Experience with effective communication of analytical outputs to stakeholders, including development of data summaries, visualizations and other storytelling methods

  • Knowledge of A/B testing best practices

  • Ability to work collaboratively throughout the organization to drive towards common goals

  • A willingness to learn, ask questions, and take initiative on ambiguous projects

  • Keeping abreast of the latest advances in data science and data pipelines

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.

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.

  • 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: $124,000 - $142,000. 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.

  • 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 security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.

#LI-Hybrid

#BI-Hybrid

Top Skills

Airflow
Databricks
Git
Hive
Looker
Mode
Python
Spark
SQL
Tableau

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