Product Analytics Data Scientist
Jump to navigation
Jump to search
A Product Analytics Data Scientist is a data scientist who can perform product analytics data science tasks.
- Context:
- They can range from (typically) being a Data Science Worker to being a Data Science Hobbyist.
- They can range from being a Junior Data Scientist to being a Senior Data Scientist.
- They can (typically) work with Product Usage Data.
- They can be a member of a Product Analytics Team.
- They can support a Product Team.
- They can have experience developing metrics and productizing those for greater consumption
- They can (typically) have aptitude in a Data Science Programming Language.
- They can (typically) have experience with a BI Tool.
- …
- Example(s):
- a Medable Product Data Scientist, ...
- …
- Counter-Example(s):
- See: Product Analytics.
References
2022
- "Product Data Scientist." Bay Area OR Remote
- ROLE OVERVIEW - PRODUCT DATA SCIENTIST
- Analyze data to inform strategy and product changes for user acquisition, engagement, retention and monetization.
- Deep dive into content consumption patterns to understand interested and behaviors of different user segments
- Deliver key insights via visualizations and dashboards
- Conduct A/B tests and iterate on product improvements
- Build predictive models (e.g. predict user LTV or churn)
- YOUR SKILLS AND EXPERIENCE
- 2+ years' experience in analytics or data science
- Experience working with large customer data sets
- A background working for B2C / DTC / Subscription based companies.
- Extensive experience using SQL and Python OR R
- Deep knowledge of applied statistics
- Strong communication skills
- ROLE OVERVIEW - PRODUCT DATA SCIENTIST
2021a
- "Data Scientist, Product Analytics" (San Francisco, CA or Remote)
- QUOTE: As a Data Scientist on the Product Data team, you will be responsible for working on a wide range of data-related projects, from the infrastructure driving our systems to metric design to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Product, Engineering, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on both internal technology choices and crucial business functions like product success metrics and the product roadmap.
- Responsibilities
- Further implement definitions of what healthy usage of the Lattice products looks like
- Partner with the product team to build on their success metrics and inform their roadmapping decisions
- Assist in operationalizing up our BI tool, Looker, to make it easily explorable and actionable for internal end users
- Model first- and third-party data into analytics-ready tables that can be used across the business
- Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
- Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
- Conduct end-to-end projects to uncover insights and drive product driven engagement at Lattice
- Own or collaborate on easily digestible outputs of insights and findings
- Research and make recommendations on best practices for our data tech stack
- Qualifications
- 2-4 years of experience working in Data Science or Analytics
- Ability to distill ambiguous, open-ended questions into workable problems
- A proven track record of collaboration with stakeholders and ability to translate technical output into non-technical recommendations and summaries
- Experience developing metrics and productizing those for greater consumption
- Deep knowledge of SQL
- Knowledge of R or Python
- Experience with a BI tool such as Looker
- Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions