Ibotta

Senior Data Scientist

Ibotta$144K — $165K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data science or machine learning roles
  • Bachelor's degree in Computer Science, Engineering, Analytics, or related field
  • Passion for data storytelling and driving decisions with data
  • Continuous learning and engagement with the latest data science advancements
  • Expert-level skills in Python; familiarity with Spark or PySpark preferred
  • Excellent statistical analysis and experimental design skills
  • Strong analytical and problem-solving capabilities

Responsibilities

  • Initiate collaboration with stakeholders to refine data for analysis
  • Establish relationships to understand business problems and improvement opportunities
  • Analyze and build datasets to extract insights on customer behavior
  • Prioritize and manage projects based on business impact
  • Build models using statistical and machine learning techniques
  • Become an expert in the Ibotta Data Ecosystem
  • Inform experimental design for business challenges and innovation
  • Mentor and educate team members in data science

Benefits

  • Flexible time off
  • Comprehensive benefits package including medical, dental, and vision coverage
  • 401k match
  • Employee Stock Purchase Program
  • Denver office perks such as paid parking and snacks
  • Relocation bonus for non-Denver candidates
Full Job Description
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 located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.

Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.

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


Additional Details:
  • 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: $144,000 - $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.

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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.

About Ibotta

Ibotta is a mobile app that allows users to earn cash back on purchases made at participating retailers. The app was founded in 2011 and has since grown to become one of the most popular shopping apps in the United States. Ibotta partners with over 1,500 retailers, including Walmart, Target, and Amazon, to offer users cash back on their purchases. The company has raised over $85 million in funding and has been recognized as one of the fastest-growing companies in the country by Inc. Magazine.
Learn more about Ibotta
Size
500 employees
Industry
Founded
2011

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