Rocket Money

Benefits:

• Health, Dental & Vision

• Competitive Pay

• 401k Matching

• Commuter Benefits

• Life Insurance

Experience Requirements:

• 6+ years of experience in the analytics space

• Experience at B2C technology companies - particularly around user onboarding, user journey flows, and/or monetization analytics

Other Requirements:

• You are comfortable actively defining a strategy and roadmap in partnership with our product, design, and tech leads

• A deep understanding of experimental design and statistics and can leverage that for analysis and assessment of A/B tests

• A strong SQL background

• Expertise in building self-service data visualization tools (e.g., Looker, Tableau, Power BI)

• Excellent communication skills

Responsibilities:

• Lead the relationship between the Data team and the NUX product group

• Be the expert on the new user experience

• Float from thinking about big strategic data questions to getting your hands dirty building out the processes, systems, tools, and analyses that answer those questions

• Translate complex analytical findings into clear and concise reports, dashboards, and presentations for stakeholders at all levels of the organization

• Partner with engineering teams to model and assess the data created by new user experiences

Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• 6+ years of professional experience working in a data science capacity

Other Requirements:

• You are a team player

• Excellent writing, presentation, and communication skills

• Excellent software engineering skills

• Deep experience in several of the following in a professional capacity: customer segmentation and personalization, time series modeling, natural language processing, traditional classification/regression problems, design and implementation of experiments, recommendation systems, building generative AI applications in consumer software

Responsibilities:

• Build new, machine learning powered user-facing features and experiences in deep collaboration with engineering, product, and design teams

• Optimize to continuous product feedback loops

• Help develop the next version of Autopilot and Budgets

• Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models

• Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing

Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• 3+ years of professional experience working in a data science or machine learning engineering capacity

Other Requirements:

• You are a team player

• Excellent writing, presentation, and communication skills

• Strong software engineering skills

• Experience in fintech, banking, or finance is a plus

Responsibilities:

• Build new, machine learning powered user-facing features and experiences in deep collaboration with engineering, product, and design teams

• Optimize to continuous product feedback loops

• Help develop the next version of Autopilot and Budgets

• Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models

• Design and conduct experiments to estimate the impact of new ml driven products, customer messaging, and marketing