Senior Data Scientist

atPeerspaceRemoteUS flagUnited StatesFull-timeData ScientistSenior$165k – $175k/year

Posted Sep 10

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Collaborate with Product, Engineering, and Design teams alongside business units to gain insights into users, product performance, and market conditions.

β€’ Work closely with the Product Engineering and Design (PED) team to establish objectives, understand product engagement, and derive lessons from experiments conducted in the two-sided marketplace.

β€’ Create measurement frameworks and introduce new metrics or reporting systems.

β€’ Align stakeholders across various functions on priorities and the analytical roadmap.

β€’ Design and evaluate experiments.

β€’ Analyze user behavior and the dynamics of the marketplace.

β€’ Examine business trends and identify factors influencing business performance.

β€’ Work in partnership with Analytics, Data Engineering, and the wider data community to foster a strong data culture.

β€’ Report directly to the Head of Analytics.


⛳️ Requirements

β€’ A minimum of 5 years of experience in data science, product analytics, or related fields.

β€’ Proficient in SQL and comfortable working with large datasets.

β€’ Experience in creating visualizations using Tableau, Looker, or similar business intelligence platforms.

β€’ Skilled in conveying insights to business partners effectively.

β€’ Capable of managing cross-functional stakeholders and prioritizing an analytics roadmap in a fast-paced environment with competing demands.

β€’ Experience in applying statistics and designing experiments within a business context.

β€’ Proficient in at least one data-centric programming language such as Python, R, or Julia.

β€’ A Bachelor's degree in a quantitative or technical discipline (e.g., Statistics, Economics, Math, Computer Science, Engineering).

β€’ Preferred: Previous experience with another two-sided marketplace.

β€’ Preferred: Experience in applying causal inference, predictive modeling, or other advanced statistical techniques within a business environment.


🏝️ Benefits

β€’ Competitive salary.

β€’ Equity compensation.

β€’ Full coverage of medical, dental, and vision insurance for employees.

β€’ Discounts on all Peerspace bookings.

β€’ Provision of a laptop, high-resolution display, and a stipend for home office setup.

β€’ Monthly credits for cell phone and internet expenses.

β€’ Annual company-wide offsite and team-building events.

β€’ Company-wide observed Wellness Days.

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