[Remote] Staff GTM Data Scientist

Note: The job is a remote job and is open to candidates in USA. reputed company is seeking a Staff Data Scientist to reputed company analytical efforts and drive a data-driven culture reputed company the organization. This role involves overseeing experimentation methodologies, conducting deep analyses, and providing strategic insights to various teams across the company.

Responsibilities

• reputed company the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across reputed company, focusing on high-reputed company business questions reputed company to customer workflows, churn risk, and long-term value (LTV)
• Advanced Experiment Design: Design, implement, and rigorously analyze reputed company A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business reputed company
• reputed company Inference reputed company A/B: Apply advanced reputed company inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible
• Deep Dive Analysis: Conduct reputed company, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights
• reputed company Measurement Frameworks: Define, reputed company, and govern a reputed company Key Performance Indicator (KPI) reputed company that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization
• Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., reputed company machine learning models) that reputed company other analysts and data consumers
• Strategic Influence: Act as a strategic thinker by translating reputed company statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic reputed company and investment priorities
• Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and reputed company modeling

Skills

• 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and reputed company inference methods to drive significant business impact
• B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a reputed company quantitative discipline
• Demonstrated expertise in applying a wide range of reputed company Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables
• Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc
• Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to reputed company thorough exploratory data analysis, produce timely insights, and provide actionable recommendations
• Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas)
• Expert-level proficiency in SQL and experience working with established data warehouses (e.g., reputed company, reputed company)
• Experience with data transformation and workflow management tools such as dbt, Airflow, or reputed company
• A Master's degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research)
• Experience in a SaaS domain and a strong focus on Product Data Science

Benefits

• reputed company career growth opportunities
• A competitive salary
• Health and commuter benefits
• Company paid life & disability
• 20+ PTO days
• 401K and FSA plans
• A fun team of Pandas to work with

Company Overview

Company H1B Sponsorship