Staff Data Scientist, Core Data & Analytics

IbottaDenver, CO
2d$152,000 - $175,000Hybrid

About The Position

Ibotta is seeking a Staff Data Scientist, Core Data & Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Our growing Core Data & Analytics Data Science Team provides high-quality, on-time data science-related products and services across all business areas and teams within Ibotta. We do this by providing thought leadership, subject matter expertise, evangelism and governance of business-critical data science initiatives. This role will be primarily focused on building data assets and analytics solutions for the revenue organization. As a Staff Data Scientist, you’ll have the unique, challenging, and rewarding opportunity to be responsible for using the latest developments in statistics and machine learning. 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 accurate and reliable Machine Learning models for use throughout the organization. You’ll be able to create and own greenfield opportunities to make big positive impacts on the revenue organization. You’ll have the chance to own the data science technology of one or more critical initiatives core business domains, from collaborating with stakeholders, through the full model development lifecycle. 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.

Requirements

  • 7+ years of experience making significant positive 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.
  • Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms
  • Expert-level Python knowledge, skills, and abilities.

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
  • Spark/PySpark and MLOps experience is a strong plus
  • Excellent statistical analysis skills, with a solid understanding of experimental design

Responsibilities

  • Provide subject matter expertise and ownership of one or more foundational models involving measurement, forecasting, or optimization of our content
  • Establish and lead best practices, setting the example 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 advanced techniques to measure and optimize model performance
  • Harden data pipelines and models for production deployment and monitoring of performance over time as required
  • 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
  • Provide mentoring and education to this team and other teams across the company
  • Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

Benefits

  • competitive pay
  • flexible time off
  • benefits package (including medical, dental, vision)
  • Lifestyle Spending Account
  • Employee Stock Purchase Program
  • 401k match
  • paid parking
  • snacks
  • occasional meals

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

501-1,000 employees

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