Sr. Marketing Data Scientist, AWS Marketplace Demand Generation & Lifecycle Engagement

Sr. Marketing Data Scientist, AWS Marketplace Demand Generation & Lifecycle Engagement

Job ID : 2811428 Amazon Web Services, Inc.

In this role, you will develop data-driven solutions to optimize our marketing efforts across messaging, channels, and features.

You will collaborate with stakeholders in marketing, product, engineering, and sales to enhance customer engagement relevance, predict customer needs, and measure marketing impact.

You will institute analytical rigor across marketing and co-sell initiatives and in doing so help scale and optimize our impact for buyers and partners.

Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.

Key job responsibilities

• Multi-Touch Attribution (MTA) & Market Mix Modeling (MMM) : Develop and maintain sophisticated attribution models to accurately measure the impact of marketing channels and optimize cross-channel marketing strategies.
• Marketing Impact Measurement : Apply causal inference techniques such as double robust regression, propensity score matching, and other econometric models to quantify the true impact of marketing initiatives.
• Customer Lifetime Value (CLV) Prediction : Create predictive models to estimate CLV and inform strategies for customer acquisition, retention, and upsell opportunities.
• A / B Testing & Experimentation : Partner with marketing teams to design, execute, and analyze A / B tests and controlled experiments that optimize campaigns and marketing efforts.
• Customer Segmentation & Personalization : Design and implement data-driven segmentation strategies to identify customer personas and personalize marketing communications at scale.
• Conversion Optimization : Build models to prioritize high-quality leads for sales teams, improving sales efficiency and conversion rates.
• Transform Data into Insights : Analyze complex data sets and transform them into actionable insights that inform marketing strategy and drive business results.
• Analyze Buyers’ Journeys : Build measurement and analysis strategies to understand buyers’ journeys across a marketplace of solutions to provide recommendations on how to better meet customer needs and enhance our customer's experience.
• Campaign Optimization : Build predictive models to improve campaign targeting, segmentation, and budget allocation, maximizing efficiency and conversion rates.
• Inform, Educate and Enable : Present and communicate findings to senior leaders as strategy insight. Deliver and maintain training and resource materials, highlighting best practices and opportunities for efficiency.

About the team

AWS Marketplace enables enterprises and startups to optimize how they discover, migrate, procure, and deploy trusted third-party software, data, and professional services as they migrate to and build in the cloud.

The AWS Marketplace Marketing team exists to support this growth with global go-to-market (GTM) strategies and programs intended to accelerate discovery and adoption of AWS Marketplace-listed solutions.

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.

If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work / Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

• Bachelor’s degree with emphasis in business / marketing or Data Science, Statistics, Computer Science, Mathematics
• 5+ years experience in a Marketing Analytics / Business Intelligence role, ideally in a B2B, SaaS and / or marketplace business environment
• Exposure to B2B marketing funnel, Marketing KPIs such as conversion rates, Cost per lead, cost of customer acquisition, and Marketing attribution and ROI.
• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.

g., pandas, NumPy, scikit-learn).

PREFERRED QUALIFICATIONS

• Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field with minimum 2 years of relevant work experience
• Experience or certifications with Salesforce, Marketo, Eloqua, or HubSpot; Web Metrics certification (like Adobe or Google Analytics)
• Prior experience working with either ISV B2B Marketing, or Marketplace business models
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras) and familiarity with deep learning techniques.
• Strong understanding of statistical analysis and modeling techniques, including regression, clustering, and causal inference.
• Experience with building and maintaining data pipelines using tools such as Apache Spark, SQL, or ETL processes.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and data storage solutions (e.g., SQL and NoSQL databases)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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