Senior Data Scientist

Ibotta, Inc.; Denver (CO); On-site; USD 140,000 - 200,000; Full time

Job summary

Ibotta is seeking a senior data scientist to lead data-driven initiatives in a dynamic team. You will collaborate across stakeholders to extract insights, build models, and drive product and customer behavior analysis.

You will mentor teams, design experiments, and advance ML processes within the data ecosystem while upholding security and best practices.

Qualifications

• 5+ years of experience in a professional data science or ML role.
• Bachelor's degree in Computer Science, Engineering, Analytics or related field.
• Experience using data to drive important business decisions and storytelling.
• Applied ML and statistical algorithms to optimize processes, predict outcomes, forecast trends.
• Expert Python with strong database manipulation skills.
• Experience handling complex data in data lakes and distributed systems.
• Strong statistical analysis and experimental design knowledge.
• US work authorization is required.

Responsibilities

• Collaborate with stakeholders to discover, define, cleanse, and refine data for analysis and modeling.
• Establish cross-department relationships to understand business problems and opportunities.
• Analyze large datasets and build models for customer behavior or product performance analysis.
• Prioritize projects by business impact and value; lead large-scale projects.
• Build and optimize models using statistical and ML techniques; select appropriate methods.

Skills

Data storytelling

Statistical analysis

Analytical thinking

Problem solving

Collaboration

Mentoring

Education

Bachelor's degree in CS/Engineering/Analytics

Tools

Python

SQL

Spark

PySpark

MLOps

Data Lakes

Distributed Systems

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