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What you will do…
As a Software Engineer (E5) on the Experimentation Platform team, you’ll build and enhance tools and platforms that streamline A/B test analysis, helping data scientists evaluate the statistical significance and potential impact of experiments. You’ll collaborate closely with data scientists to understand their needs, then design and implement features that enable them to assess and productize experiments effectively. Your work will directly influence how we make data-driven decisions at scale, driving innovation and growth.
Key Responsibilities:
Design and develop software solutions that provide accurate and efficient analysis of A/B test results
Build and enhance tooling that enables data scientists to perform experiment analysis with a focus on statistical rigor and ease of use
Translate data science methodologies into scalable engineering solutions, ensuring that tools align with industry standards in experimentation analysis
Partner with cross-functional teams, including data scientists and product managers, to support the productization of experiment insights
Maintain a strong focus on scalability, usability, and reliability in platform design to support growing experimentation needs
Required Skills/Experience:
Proven experience as a software engineer, with a strong focus on building data-driven applications
Understanding of data science concepts, including basic statistical methodologies, hypothesis testing, and experimentation analysis
Proficiency in an object-oriented language (e.g., Java, Python) and familiarity with distributed systems
Experience collaborating with data science teams to build tools that facilitate experiment analysis and decision-making
A data-centric mindset, with the ability to bridge software development and data analysis needs
Strong communication skills, with the ability to engage effectively with technical and non-technical stakeholders
Nice To Have Skills & Experience:
BS/MS in Computer Science, Data Science, or a related field
Familiarity with data frameworks and analysis tools like Hadoop, Spark, or SQL-based systems
Experience building experimentation platforms or analysis tools at scale
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for is $170,000 - $720,000.
Job is open for no less than 7 days and will be removed when the position is filled.
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