Senior Data Scientist, Marketing

As a Senior Data Scientist on the Loom data team, you will play a crucial role in driving growth and optimizing marketing campaigns. Your responsibilities will include developing data models, dashboards, and deep analyses to provide valuable insights into user journeys and behaviors. You will collaborate closely with the Marketing, Data Engineering, and Software Engineering teams to understand growth opportunities and measure the impact of marketing initiatives. Additionally, you will have the opportunity to build marketing data from the ground up and provide recommendations that will shape the overall roadmap. With your strong analytical and communication skills, you will turn data into insights and recommendations to drive revenue and business growth.

Be a primary partner for the Marketing team and collaborate with Marketing, Data Engineering and Software Engineering to understand growth and optimization opportunities and measure impact of Marketing initiatives

Help build Marketing data foundations from ground up and lead building Marketing focused datasets that are scalable and can be leveraged across the business

Develop advanced data models to optimize marketing campaigns, targeting, and segmentation.

Provide data insights across digital marketing channels through dashboards, user behavior analyses and ad-hoc requests

Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress

Proactively derive data insights and turn them into Marketing recommendations, communicate results and learnings to the rest of the team

Inform initiatives and roadmaps by performing exploratory analysis to understand user acquisition behavior

Provide both quick ad-hoc analyses that help drive day to day short-term decisions as well as more in depth and packaged insights that help drive overall long-term business strategy

• 5+ years of experience in an analytics role turning data into insights and recommendations
• Strong analytical and communication skills with the ability to synthesize insights into compelling stories
• Experience with the SaaS customer lifecycle from acquisition to retention
• Superior SQL (Snowflake, Postgres) skills - able to write structured and efficient queries on large data sets
• Experience with a Business Intelligence tool (e.g. Tableau or Hex)
• Experience with a statistical scripting language (e.g. R or Python) is a plus
• Experience with ETL tools such as Airflow or DBT is a plus
• Experience in data modeling and ETL development is a plus
• Experience building pipelines connecting integrations like Facebook, Google, Twitter, etc… is a plus
• Proficiency at Google Analytics and other common marketing tools is a plus
• Experience collaborating with multiple business functions and stakeholders to develop metrics and key insights
• A Bachelor’s Degree in a quantitative field or higher

• Competitive compensation and equity package
• Comprehensive medical, dental, and vision coverage for employees and dependents (for US employees)
• 14 paid company holidays plus Summer Break in July and Winter Break in December
• 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
• 401(k) with 4% company matching
• Wellness stipends
• Flexible PTO
• Paid parental leave
• Remote work opportunities
• Professional development reimbursement
• Home office & technology reimbursement