Data Science Analyst / Contract / Hybrid / Mountain View, CA

Our client, a fintech leader with amazing culture, is hiring for a contract Data Scientist (Data Science Analyst). This is a hybrid position with 3 days a week onsite in Mountain View, CA. This role will be on the company's product data science team, working directly with stakeholders across marketing, product and finance teams to define data requirements, executing data science initiatives (customer segmentation/attribution, campaign analysis, product targeting, experimentation, predictive modeling), and generating actionable insights/recommendations. Strong skills in SQL, Python, Tableau, and ETL pipelining are required. Contract Duration: 12 Months to Start Responsibilities: • Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics, and make actionable recommendations • Drive strategic insights for data science supporting the product ecosystem customer upgrade/attach/monetization/migration initiatives • Working with marketing stakeholders to define requirements, execute marketing campaign analytics, and marketing attribution. • Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation • Build and apply durable customer segmentation patterns to renew product targeting, positioning, and customer experience • Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders • Raise craft bar for the analysts on team Required Skills: • Minimum of 5-7 years of experience in business analytics and data science, analyzing business/segment performance and conversion funnels • Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit • Experienced in experimentation or A/B testing, marketing campaign analytics, and marketing attribution • Practical experience constructing data pipelines and ETL utilizing SQL and Python, as well as data solutions from cloud platforms • Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence marketing and product leadership • Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. • Experience in the SaaS industry is huge. Fintech or SMB space experience is a plus. • Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work • Outstanding communication skills with the ability to influence decision makers and build consensus with teams • Quick learner, adaptable, with the ability to work independently and lead the team in a fast-paced environment