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About the Role

As a Staff Data Scientist, you will build the foundation of data and data science within the company, creating and owning greenfield opportunities to make significant positive impacts on the business. You will own the data science technology of core business domains, from stakeholder collaboration through the full model development lifecycle, advancing technical, organizational, and leadership skills by establishing best practices and providing mentoring.

Responsibilities

Provide subject matter expertise and ownership of one or more of the company’s core business domains
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 data for analysis and modeling
Analyze large and novel datasets to extract actionable insights for model development and understanding 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
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

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
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
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 and/or R 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

Skills

Data Science
Machine Learning
Data Storytelling
Python
R
Spark
PySpark
Statistical Analysis
Experimental Design
Time Series Analysis
Analytical Skills
Problem Solving
Database Manipulation
Query Languages
Graph Data Schemas
Feature Engineering
Data Lakes
Distributed Systems
Data Streams
MLOps

Location

Denver, Colorado

Work Type

Hybrid
Full-time

Experience Level

Staff
7+ years

Education Level

Bachelor's degree

About the Company

Ibotta is seeking a Staff Data Scientist, Client Data & Measurement to join our innovative team and contribute to our mission to Make Every Purchase Rewarding.
Our newly formed and growing Core 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.