Senior Data Scientist, Product

Loom

The Role:

We’re looking to add a Senior Data Scientist to our growing Data team to help us measure the impact of product features and experiments and derive user behavior insights that inform product development roadmap and strategy to unlock the next stage of Loom’s growth.

We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from designing and evaluating A/B tests, conducting ad-hoc research, creating dashboards, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.

Your Responsibilities:

• Measure the impact of product features/tests and analyze user behavior that will influence product development and strategy
• Partner with Product Managers, Designers, and Engineers to provide data support through dashboards, user insights, and Adhoc requests
• Design and develop core business metrics, create insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
• Design and analyze product experiments; communicate results and learnings to the rest of the team.
• Proactively derive data insights and turn them into product recommendations
• Develop a thorough understanding of user behavior using large clickstream event data (from web and mobile apps) and explore data to find actionable insights and make product recommendations through funnel analyses, long-term trends, user segmentation, and models

What We’re Looking For:

• 5+ years of experience in a data science or analytics role turning data into insights and recommendations
• Strong analytical and communication skills with the ability to synthesize insights into compelling stories
• Experience designing, running, and analyzing A/B tests, with a strong understanding of applied probability and statistics
• Good product and business sense
• Proficiency in SQL (Snowflake, Postgres) – able to write structured and efficient queries on large data sets
• Experience with a statistical scripting language (e.g. R or Python)
• Experience with a Business Intelligence tool (e.g. Tableau or Mode)
• Experience with ETL tools such as Airflow or DBT is a plus
• A Bachelor’s Degree in a quantitative field or higher.

Perks at Loom:

• Competitive compensation and equity package
• 99% company-paid medical, dental, and vision coverage for employees and dependents (for US employees)
• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
• Healthcare reimbursement (for International employees)
• Life, AD&D, Short and Long Term Disability Insurance
• Long-term disability insurance
• 401(k) with 4% company matching
• Professional development reimbursement
• Mental health and wellness reimbursement
• Gym reimbursement
• Unlimited PTO
• Paid parental leave
• Remote work opportunities
• Home office & technology reimbursement