About the position
Ibotta is seeking a Data Scientist to join our Client Data & Measurement team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Client Data and & Measurement teams. As a 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. You'll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team.
Responsibilities
- Contribute to creating best practices for the team
- Initiate and drive collaboration with stakeholders, architects, and data engineers 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 customized views of large and complex datasets to support data analysis and business decision-making
- 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 techniques to measure and optimize model performance
- Harden data pipelines and models for production deployment and monitoring of performance over time
- Embrace and uphold Ibotta's Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere
Requirements
- 2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experience
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred
- A 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
- Demonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithms
- Demonstrated Python and/or R skills. Spark or PySpark experience is a strong plus
- Broad and general statistical and mathematical knowledge and skills
- Excellent analytical and problem solving skills
- Demonstrated knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas
- Exposure to or interest in manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams
- Exposure to or interest in MLOps a strong plus
Nice-to-haves
- 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
Benefits
- Competitive pay
- Flexible time off
- Benefits package (including medical, dental, vision)
- Lifestyle Spending Account
- 401k match
- Paid parking
- Bagel Thursdays
- Snacks and occasional meals
