Senior / Staff Data Scientist, Marketing Analytics
KindredFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must possess a Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field, or equivalent professional experience. A minimum of 3 years of work experience in analytics, finance, engineering, or equivalent analytical and marketing experience is required. Prior experience in marketing analytics with a solid understanding of bid optimization, attribution, and performance marketing is necessary. Experience working with modern data solutions such as Looker, Tableau, Power BI, DataBricks, or FiveTran is expected. Proficiency in SQL and Python for data analysis and transformation, along with strong critical thinking and problem-solving skills, and a track record of independently leading complex projects from scoping to delivery are essential.
The Senior Data Analyst will identify and prioritize problems, develop and provide actionable solutions, and communicate results to business partners. Responsibilities include designing advanced modeling and analytical frameworks for marketing efficiency and optimization, such as performance marketing bid models and customer attribution. The role involves partnering with the data engineering team to develop data models and integrate new datasets into reporting for growth marketing. Collaboration with stakeholders in Marketing, Product, and Engineering to define project goals, align on deliverables, and communicate results is key. The analyst will conduct exploratory analysis to uncover insights, validate hypotheses, and shape strategic decisions, and write clear memos and presentations translating technical findings into actionable business insights. Driving work forward through structured planning, regular progress updates, and alignment checkpoints, and supporting a culture of continuous learning by mentoring junior analysts and sharing analytical best practices are also expected.
Simplifies home insurance for homeowners
Kin Insurance simplifies the home insurance experience for homeowners, especially those living in coastal areas. The company offers clear and straightforward insurance options that are easy to understand and obtain, addressing the complexities and high costs typically associated with home insurance. By providing direct-to-consumer policies, Kin eliminates the need for brokers or agents, which helps reduce costs and allows for more personalized service. This model fosters a closer relationship with clients, enhancing customer satisfaction. Kin uses technology and data to offer competitive rates and tailor coverage to meet individual homeowner needs. Their commitment to transparency and customer support is evident, with many clients saving an average of $500 when switching to Kin. The goal of Kin Insurance is to make home insurance more accessible, affordable, and customer-focused, distinguishing itself in the competitive insurance market.