Marketing Data Science Manager

Summary

Join our team as a Marketing Data Science Manager in a fully remote contract-to-hire position! Lead marketing analysis efforts, leveraging data science and statistical analysis to drive data-driven decisions. You will design and execute test measurement plans, track and measure tests, build predictive models, and develop insightful reports. Collaborate with cross-functional teams, mentor a digital marketing analyst, and stay updated on industry trends. This role requires a strong background in data science and statistical modeling, with a focus on applying these skills to optimize marketing strategies and drive revenue growth. The initial contract is for 3 months.

Requirements

• Minimum 5 years of experience in data science, statistical analysis, and marketing analytics
• Proficient in statistical programming languages (Python, R) and data analysis tools (e.g., SQL, Excel)
• Strong background in hypothesis testing, regression analysis, and experimental design (A/B testing)
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI, or similar)
• Familiarity with CRM, marketing automation platforms (e.g., HubSpot, Marketo), and customer data platforms (CDPs)
• Excellent project management and collaboration skills to work effectively with cross-functional teams
• Understanding of B2B digital marketing principles and best practices
• Knowledge of web analytics tools (e.g., Google Analytics)

Responsibilities

• Design and execute test measurement plans: Collaborate with Channel Leads to develop A/B test designs to ensure clean read and sufficient sample size; pull audience lists as needed (e.g., number of test cells, duration, populations required for stat sig). Make recommendations on the right testing approach (e.g., geo-split testing, conversion split testing). Identify potential measurement risks for test ideas. Complete pre-test checks for audience randomization and test setup. Write measurement plans and define primary and secondary KPIs for each test
• Track and measure tests - share out results and impacts with key stakeholders: Ensure tests are monitored with the appropriate cadence once live. Conduct any interim reads of test results. Discuss deep-dive hypotheses with test leads and measurement manager; run and provide insights from deep-dives. Present preliminary results in working sessions; tell the story of the test. Annualize impact at scale of A/B test results once aligned on scaled version of the test
• Build and deploy advanced predictive models (e.g., propensity models, churn prediction, lead scoring) to optimize B2B marketing efforts and maximize ROI
• Develop and maintain dashboards, reports, and other data visualization tools to provide clear, concise, and actionable insights to senior leadership and cross-functional teams. Have solid understanding of Google and Meta campaigns and digital platforms to pull campaign results and diagnosis campaign set up
• Collaborate with data engineering and IT teams to ensure proper data infrastructure, integration, hygiene, and automation for marketing analytics workflows, ensuring data quality and accessibility
• Analyze market trends, customer behaviors, and competitor performance to identify new opportunities for marketing optimization and growth
• Work closely with the broader marketing and sales teams (including promotions, customer and product) to align on goals, refine strategies, and measure the effectiveness of campaigns and tactics
• Stay up-to-date with the latest trends in data science, machine learning, and marketing analytics to continuously refine and enhance the company’s data-driven marketing capabilities
• Lead and mentor a digital marketing analyst, providing guidance on analytical best practices, statistical modeling techniques, and marketing-related data science methodologies

Preferred Qualifications

• Experience with machine learning techniques, predictive modeling, and data mining
• Excellent critical thinking and problem-solving skills with a focus on delivering actionable recommendations to drive business performance
• Experience working with large-scale marketing data and integrating multiple data sources (e.g., CRM, digital marketing, third-party data)
• Knowledge of marketing attribution models and multi-touch attribution analysis

Benefits

100% Remote