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We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment.
Job Responsibility:
Translate business needs into data analysis and actionable insights to optimize product performance and user experience
Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions
Develop and maintain a scalable, reliable, and accurate analytics infrastructure
Establish and maintain best practices for data collection, analysis, and reporting
Deliver actionable insights and recommendations focused on landing tangible product impact
Help foster a culture of data-driven decision-making and continuous improvement
Ensure the integrity and accuracy of the data used for analysis and reporting
Support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data
Requirements:
Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience
Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization
Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc.
Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products
Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense
Nice to have:
Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus
Experience in 0 to 1 product initiatives is a plus
Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus
What we offer:
Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
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