Lead Data Scientist
HumanaSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries
Requirements
- 4+ 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 like conference presentations, professional publications, 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
- Candidates must live in the United States (position located in Denver, Colorado as hybrid requiring 3 days in office: Tuesday, Wednesday, and Thursday)
Responsibilities
- 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 of Integrity, Boldness, Ownership, Teamwork, Transparency, & Advocate for Savers to help Make Every Purchase Rewarding
Skills
Statistics
Machine Learning
Data Visualization
Data Analysis
Data Modeling
Data Cleansing
Model Optimization
Stakeholder Collaboration
Project Management
ibotta
Shopping rewards app for cash-back offers
About ibotta
Ibotta operates a shopping rewards app that connects brands with millennial consumers by offering cash-back rewards for purchases. Users earn cash back by shopping at partner retailers, which encourages them to shop more often and spend more. Brands and retailers collaborate with Ibotta to promote their products through targeted advertising within the app, especially during major shopping events like Black Friday. Ibotta generates revenue by charging these brands for featured placements and marketing campaigns designed to increase sales velocity and conversion rates. The company aims to enhance brand awareness and drive incremental sales for its clients, making it a significant player in the retail and consumer goods market.
Denver, ColoradoHeadquarters
2012Year Founded
$58.4MTotal Funding
IPOCompany Stage
Consumer Software, Consumer GoodsIndustries
501-1,000Employees
Benefits
Parental leave
Onsite gym
Dinner perk
Healthcare coverage
Culture club
401(k) match
Team wide bonus
Flexible time off
Equity
Lifestyle spending account
Risks
Increased competition from platforms like Rakuten and Honey could dilute market share.
Reliance on major retailers means disruptions could significantly impact revenue.
Rapid expansion in Denver may lead to increased operational costs and financial strain.
Differentiation
Ibotta offers cash-back rewards, incentivizing frequent shopping and larger purchases.
The Ibotta Performance Network delivers coordinated promotions across multiple platforms.
Ibotta connects brands with millions of millennial consumers, enhancing brand awareness and sales.
Upsides
Ibotta's user base grew by 158%, indicating strong consumer engagement.
Partnerships with major retailers like Walmart and Instacart boost Ibotta's market reach.
Winning the MarTech Breakthrough Award highlights Ibotta's innovation in performance marketing.
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