Lead Data Scientist

Job Title: Lead Data Scientist - Marketing Data Science Location : Remote / Flexible Salary : 180K-210K Base Salary About the Role : We are seeking a highly motivated and experienced Lead Data Scientist with a strong background in marketing analytics and data science to join our dynamic, fast-growing startup. This is a unique opportunity to play a pivotal role in shaping the future of data-driven marketing strategies. As the Lead Data Scientist, you will help drive business decisions through data models, predictive analytics, and experimentation, with a strong emphasis on customer acquisition, retention, and long-term growth. You'll be joining a data science team that is both technical and business-oriented, working closely with cross-functional teams to optimize marketing efforts, understand customer behavior, and build impactful data models that drive business performance. If you thrive in a high-growth, data-rich environment and are passionate about applying your data science expertise to solve marketing challenges, we want to hear from you. Key Responsibilities: End-to-End Data Science : Build and deploy predictive models, from inception to production, providing actionable insights around demand-supply matching, customer behavior, and marketing strategy. Marketing & Experimentation : Design and run A/B and multivariate tests, ad testing, creative optimization, and marketing spend distribution across various channels (e.g., social media, direct mail, TV). Customer Acquisition & Retention : Analyze customer data and identify opportunities for increasing customer lifetime value (LTV), improving retention strategies, and optimizing pricing, promotions, and cross-selling. Strategic Thinking : Contribute to long-term business strategy, focusing on how data science can improve marketing decision-making, enhance LTV, and reduce churn. Collaborate Cross-Functionally : Work closely with marketing, data engineers, and software teams to integrate models into existing systems, improve processes, and provide ongoing feedback to optimize performance. Modeling and Reporting : Help build and manage marketing models, including demand prediction, customer segmentation, and incrementality analysis. Leverage cloud-based platforms (AWS/Snowflake/Fivetran) for data pipeline management. Ad-hoc Analysis : Conduct detailed analysis of marketing data to uncover trends, track key metrics, and provide insights to business leaders on campaign performance, user behavior, and market trends. Portfolio Management : Oversee and manage projects, ensuring timely delivery and alignment with business goals, while providing leadership to junior team members What We're Looking For: Experience : Minimum 5 years of hands-on experience in data science, with a focus on marketing or customer-facing products. Experience with consumer goods (CPG), subscription models, or life sciences is a plus. Technical Skills : Python (for model development and data analysis, no R) ETL processes and familiarity with modern data stacks (e.g., Snowflake, AWS, DBT, Fivetran) Tableau for data visualization (a dedicated team member handles most dashboarding) Ability to build and deploy machine learning models to production Business Acumen : Strong understanding of how data science can impact business goals, particularly in marketing. Ability to think strategically about product marketing, customer behavior, and business outcomes. Soft Skills : Excellent problem-solving abilities and critical thinking High adaptability and comfort in an ambiguous, fast-paced environment Strong communication skills with the ability to translate complex technical concepts for business stakeholders Positive attitude, curiosity, and a collaborative mindset.

Location: South San Francisco, CA, US

Posted Date: 1/14/2025