About this opportunity
Jobtailor lists this Senior Data Scientist opportunity in denver, Colorado. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine data needed for analysis and modeling
Establish cross-departmental relationships to understand business problems and opportunities for improvement
Analyze and sometimes build large and novel datasets to extract actionable insights for model development and customer behavior or product performance analysis
Prioritize projects based on business impact and value
Lead and manage large-scale projects
Build models using statistical and machine learning techniques
Select appropriate models and use advanced techniques to measure and optimize model performance
Become an expert in the Ibotta's Data Ecosystem and how teams leverage its data for domain-specific business questions
Inform experimental design to address major business challenges and innovation opportunities
Provide data science mentoring and education across the company
Uphold Ibotta's Core Values
Securely handle data, identify and report phishing attempts, and report security incidents
Requirements
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
Experience driving important decisions using data and data storytelling
Applied machine learning and statistical algorithms to optimize processes, predict outcomes, forecast trends, and enhance decision-making
Expert-level Python knowledge, skills, and abilities
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
Excellent statistical analysis skills
Solid understanding of experimental design
Superior analytical and problem solving skills
Candidates must live in the United States
Applicants must be currently authorized to work in the United States on a full-time basis
Spark or PySpark experience is a strong plus
Broad-scale community contributions to data science and machine learning are a strong plus
Time series analysis is a strong plus
Experience in MLOps is a strong plus but not required
Core Competencies
Demonstrates expertise in data science and machine learning, with a strong focus on statistical analysis, model development, and data storytelling. Proven ability to lead large-scale projects and collaborate effectively with cross-departmental teams to drive business impact through data-driven insights.
Highest-signal resume keywords
Expert-Level Python Knowledge
Statistical Analysis Skills
Machine Learning Techniques
Database Manipulation and Query Languages
Experimental Design Understanding
Hard Skills
Machine Learning
Statistical Algorithms
Data Analysis
Feature Engineering
Time Series Analysis
Data Manipulation
Data Storytelling
Model Optimization
MLOps
Data Ecosystem Expertise
Soft Skills
Analytical Skills
Problem Solving
Collaboration
Mentoring
Communication
Industry Keywords
Data Science
Machine Learning
Business Analysis
Data Engineering
Data Security
Tools & Technologies
Spark
PySpark
Data Lakes
Distributed Systems
Data Streams
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Worksite address
denver, CO, 80285, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.