Decision Scientist

IbottaDenver, CO
23h$83,000 - $99,000Hybrid

About The Position

Would you like to be part of an industry-leading analytics organization? Ibotta is seeking a Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. With over 50 people, Ibotta’s Analytics team uses the latest developments not only in our core technical capabilities such as statistics, machine learning, testing methodologies, and data engineering, but also in the broader aspects of an analytics organization such as minimizing technical debt, increasing organizational data literacy, and developing analytics leadership, making Ibotta a place where individuals at all levels can learn and grow their careers. As a Decision Scientist, you will be responsible for providing actionable and data-driven recommendations to internal and external stakeholders. You’ll have the opportunity to work alongside talented individuals and understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our largest line of business. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.

Requirements

  • 3+ years of practice experience in an analytical function
  • Bachelor’s degree in computer science, engineering, analytics, or a related field required
  • Strong SQL knowledge
  • Ability to drive projects end-to-end with minimal guidance/oversight, with examples of high-quality output that provide actionable, business-focused insights and recommendations
  • Initiative to proactively anticipate and solve important problems
  • Strong written and verbal communication skills, able to distill complex analytical solutions into actionable insights
  • Excellent interpersonal skills with the proven ability to collaborate across functional areas
  • Curiosity and the commitment to continually ask questions of our data and business
  • Demonstrates Self Awareness, Manages Complexity, Decision Quality, Communicates Effectively, Action Oriented, Business Insight, Being Resilient
  • Ability to translate ambiguous business questions into structured data problems
  • Excels in a fast-paced environment with the capability to prioritize effectively

Nice To Haves

  • Knowledge of common data science software development packages (PySpark, Python, R, etc.)
  • Experience in building visualizations using business intelligence tools such as Looker and Mode

Responsibilities

  • Analyze large datasets to extract actionable insights to inform business decisions and understand consumer behavior to support the decision-making process
  • Work cross-functionally to analyze large amounts of behavioral and transaction data to provide clients with actionable insights about Ibotta’s users and campaign performance
  • Execute and refine promotions and media measurement solutions using established methodologies; collaborate with client account teams to ensure all client deliverables are market-defensible and high-quality.
  • Maintain an understanding of industry trends in measurement and CPG (Consumer Packaged Goods) to effectively position Ibotta’s data value to advertisers.
  • Identify opportunities to automate reporting or streamline workflows to improve the efficiency of the Client Analytics team.
  • Communicate complex analyses and data intricacies in a clear, concise manner both internally as well as to external clients
  • Initiate and drive collaboration with stakeholders and cross-functional teams to define project scope, responsibilities, and expectations

Benefits

  • competitive pay
  • flexible time off
  • benefits package (including medical, dental, vision)
  • Lifestyle Spending Account
  • Employee Stock Purchase Program
  • 401k match
  • paid parking
  • snacks
  • occasional meals

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

501-1,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service