Statsig
Applied Data Scientist
Statsig, Bellevue, Washington, us, 98009
Statsig is looking for an
Applied Data Scientist
with a strong software engineering background to join our Data team. This is a unique role that combines data science, engineering, and experimentation at scale, allowing you to drive the future of Statsig’s data platform and experimentation tools. You’ll collaborate closely with engineering and data teams across the company, while working with our customers to elevate their ability to measure and understand experiments and metrics.What You'll Do
Build and Enhance Experimentation SystemsDesign and implement experimentation and data pipelines that integrate across our internal compute platform and customers’ data environments, optimizing for both performance and scalability.
Innovate with Cutting-Edge TechnologyStay on the leading edge of data science and engineering advancements by exploring industry practices and new research. Transform insights into practical, impactful solutions for Statsig’s customers.
Influence Product DevelopmentBe a key player in shaping our product’s data capabilities, making data science integral to the way we enable product teams worldwide. Bring a data engineering perspective that elevates Statsig’s offerings.
Qualifications
4+ years in Data Science & Applied StatisticsProven experience with data science in a product-driven environment, especially working with experimental design and analytics at scale.
2+ years in a Software Engineering RoleExperience building robust data workflows and working with backend systems. Proficiency in Typescript, Python, MongoDB, SQL, and compute engines is essential.
Strong Experimentation ExperienceComfortable designing, running, and analyzing product experiments to measure impact and drive product decisions.
Collaborative Product MindsetYou understand the intersection of data science and software engineering and are passionate about building data-driven products that empower users.
LocationAbility to work full-time from our Bellevue, WA office.
Why Statsig?
Core ImpactContribute to the core functionality and mission of Statsig by building systems that enable our customers to draw meaningful insights from their data.
Room for GrowthLead innovations in experimentation and statistical methodologies within one of the most exciting companies in the analytics space.
Collaborate with Top TalentWork alongside some of the best data scientists and engineers, learning from and contributing to a team with deep technical expertise.
Join us to make a meaningful impact in data science and engineering by driving experimentation and analytical insights for hundreds of companies. Check out some of the work you’d be involved in on our blog:
Statsig Blog ,
Sequential Testing ,
Warehouse-Native Experimentation .Please note that this job description is subject to change and may not include all responsibilities or qualifications required for the role of Data Science Engineer at Statsig.
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Applied Data Scientist
with a strong software engineering background to join our Data team. This is a unique role that combines data science, engineering, and experimentation at scale, allowing you to drive the future of Statsig’s data platform and experimentation tools. You’ll collaborate closely with engineering and data teams across the company, while working with our customers to elevate their ability to measure and understand experiments and metrics.What You'll Do
Build and Enhance Experimentation SystemsDesign and implement experimentation and data pipelines that integrate across our internal compute platform and customers’ data environments, optimizing for both performance and scalability.
Innovate with Cutting-Edge TechnologyStay on the leading edge of data science and engineering advancements by exploring industry practices and new research. Transform insights into practical, impactful solutions for Statsig’s customers.
Influence Product DevelopmentBe a key player in shaping our product’s data capabilities, making data science integral to the way we enable product teams worldwide. Bring a data engineering perspective that elevates Statsig’s offerings.
Qualifications
4+ years in Data Science & Applied StatisticsProven experience with data science in a product-driven environment, especially working with experimental design and analytics at scale.
2+ years in a Software Engineering RoleExperience building robust data workflows and working with backend systems. Proficiency in Typescript, Python, MongoDB, SQL, and compute engines is essential.
Strong Experimentation ExperienceComfortable designing, running, and analyzing product experiments to measure impact and drive product decisions.
Collaborative Product MindsetYou understand the intersection of data science and software engineering and are passionate about building data-driven products that empower users.
LocationAbility to work full-time from our Bellevue, WA office.
Why Statsig?
Core ImpactContribute to the core functionality and mission of Statsig by building systems that enable our customers to draw meaningful insights from their data.
Room for GrowthLead innovations in experimentation and statistical methodologies within one of the most exciting companies in the analytics space.
Collaborate with Top TalentWork alongside some of the best data scientists and engineers, learning from and contributing to a team with deep technical expertise.
Join us to make a meaningful impact in data science and engineering by driving experimentation and analytical insights for hundreds of companies. Check out some of the work you’d be involved in on our blog:
Statsig Blog ,
Sequential Testing ,
Warehouse-Native Experimentation .Please note that this job description is subject to change and may not include all responsibilities or qualifications required for the role of Data Science Engineer at Statsig.
#J-18808-Ljbffr