PhD in Statistics, Mathematics, Physics, Operations Research, Econometrics or related field.
5+ years of experience using large data sets for product innovation.
Strong statistical knowledge, especially in A/B testing.
Proficient in SQL and programming with Firebase and Firestore.
Experience with distributed analytics tools like Hive, Pig, Presto, or Spark.
Ability to create data products and dashboards using Tableau, R Shiny, or D3.
Exceptional communication and interpersonal skills.
Responsibilities
Collaborate with product management, designers, and engineers to inform product development.
Explore user behavior data to identify new testing opportunities.
Research metrics for measuring user engagement effectively.
Develop data products to quickly transform ideas into applications and dashboards.
Scale solutions for self-service use by partners and automate workflows.
Present research findings and insights to various company levels clearly.
Benefits
Opportunity to influence product innovation directly.
Collaborative work environment with cross-functional teams.
Focus on data-driven decision making and experimentation.
High-impact role with visibility across the organization.
Full Job Description
Job Description
Huck maintains a relentless focus on continually improving our product through analytics and experimentation. We are seeking a talented and passionate data scientist to help drive innovation for our user interfaces on mobile, web. This is a high-impact position where your analytical insights and interpretation of test results will have a direct impact on product decisions. All future product changes will be tested before productization.
Responsibilities:
Partner closely with product management leadership, designers, and engineers to design and analyze app development that drive key product decisions.
Proactively perform data exploration on user behavior to discover future testing opportunities. Past projects included segmenting customers based on network characteristics and visualizing how users navigate the application.
Research the best metrics to measure user engagement.
Build data products to rapidly turn novel ideas into web apps and dashboards.
Scale your solutions to enable partners to self-serve effectively and automating common data science workflows.
Present your research and insights to all levels of the company, clearly and concisely.
Qualifications
PhD degree in Statistics, Mathematics, Physics, Operations Research, Econometrics or related field
5+ years relevant experience with a proven track record of leveraging massive amounts of data to drive product innovation
Fire
Strong statistical knowledge and intuition - ideally utilized in A/B testing or other experimentation setting
Strong SQL skills
Strong Programming skills in firebase and firestore
Experience with distributed analytic processing technologies (Hive, Pig, Presto, Spark)
Experience creating data products and dashboards in Tableau, R Shiny, or D3.
Deep product sense
Ability to work independently and drive your own projects
Exceptional interpersonal and communication skills
