Harnham · 7 hours ago
Lead Data Scientist
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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.
Qualification
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Required
Minimum 5+ years of hands-on experience in data science, with a focus on marketing or customer-facing products.
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
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.
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.
Preferred
Experience with consumer goods (CPG), subscription models, or life sciences is a plus.
Company
Harnham
Harnham has actively chosen to focus on Data and Analytics.
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
BGF Ventures
2022-05-05Seed
Leadership Team
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