Senior Data Scientist

• 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