Home Jobs Associate Data Scientist, Marketing
Back to Jobs

Associate Data Scientist, Marketing - Job Opportunity at Confluent

Remote, United States
Full-time
Mid-level
Posted: July 7, 2025
Remote
USD 62-71 per hour

Benefits

Competitive equity package providing ownership stake in a high-growth data streaming platform company
Comprehensive benefits package aligned with industry standards for technology companies
Flexible remote work arrangement enabling work-life balance and access to global talent pool
Professional development opportunities within a data-driven culture and cross-functional collaboration environment
Equal opportunity workplace fostering diversity and inclusion as core organizational values

Key Responsibilities

Drive strategic funnel optimization by analyzing marketing and sales data to identify high-impact conversion opportunities that directly influence revenue growth
Establish data governance standards by defining and refining marketing metrics while building scalable reporting infrastructure that monitors pipeline health across the organization
Lead analytical problem-solving initiatives by translating complex business questions into actionable analytics frameworks and communicating insights to executive stakeholders
Execute advanced analytics projects including predictive modeling and experimentation to optimize product positioning and go-to-market strategies
Conduct comprehensive customer journey analysis leveraging key performance indicators such as ROI, CLTV, and CAC to identify strategic optimization opportunities
Foster organizational data literacy by collaborating with cross-functional data science teams to share methodologies and drive data-driven decision making culture

Requirements

Education

Bachelor's or Master's degree in a quantitative field such as computer science, statistics, economics, or engineering

Experience

2+ years of experience in data science or advanced analytics, with at least 1–2 years supporting a marketing or go-to-market function—preferably in a B2B SaaS environment

Required Skills

Strong proficiency in SQL Intermediate Python / R skills Experience building and maintaining dashboards and data visualizations using tools like Tableau or similar platforms Demonstrated ability to communicate insights effectively to both technical and non-technical audiences Working knowledge of marketing attribution techniques and A/B testing methodologies Strong problem-solving skills and attention to detail
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The data streaming and real-time analytics market is experiencing unprecedented growth as organizations increasingly require immediate insights for competitive advantage, with the global data streaming market projected to reach $103.9 billion by 2028, creating significant demand for specialized data scientists who can work with streaming data platforms. Marketing attribution and customer journey analytics have become critical differentiators in B2B SaaS companies, as organizations seek to optimize their customer acquisition costs and lifetime value in an increasingly competitive market where traditional attribution models are being replaced by sophisticated multi-touch attribution systems. The convergence of data science and marketing operations is driving demand for hybrid professionals who can bridge technical analytics with business strategy, particularly in companies building data infrastructure products where the product itself generates massive amounts of behavioral data for analysis.

Salary Evaluation

The hourly rate of $62-71 translates to approximately $129,000-$148,000 annually, which is competitive for mid-level data scientists in marketing roles at high-growth SaaS companies, particularly considering the remote flexibility and equity compensation. This range aligns well with market standards for professionals with 2-4 years of experience in marketing analytics within the technology sector.

Role Significance

Likely part of a 4-8 person data science team within a larger analytics organization, with direct collaboration across marketing, sales, and finance teams, indicating a matrix structure that provides broad exposure to business operations.
This associate-level position represents a strategic individual contributor role with significant visibility and impact potential, positioned to influence key business decisions through data insights while building expertise in a specialized domain at the intersection of data science and marketing operations.

Key Projects

Marketing attribution modeling projects to optimize channel spend allocation across SEO, paid media, email, and other acquisition channels Customer segmentation and lifetime value prediction models to inform pricing and retention strategies A/B testing frameworks for marketing campaigns and product features to drive conversion optimization Real-time dashboard development for marketing performance monitoring and pipeline forecasting

Success Factors

Ability to translate complex data insights into actionable business recommendations that drive measurable improvements in marketing ROI and customer acquisition efficiency Strong stakeholder management skills to navigate cross-functional relationships with marketing, sales, and finance teams while maintaining technical credibility Proficiency in both exploratory data analysis and production-ready model development, with emphasis on scalable solutions that can handle high-velocity data streams Business acumen to understand B2B SaaS metrics and customer journey complexities, particularly in enterprise sales cycles with multiple touchpoints

Market Demand

High demand driven by the critical need for data-driven marketing optimization in B2B SaaS companies, particularly those in the data infrastructure space where understanding customer behavior patterns directly impacts product development and go-to-market strategies.

Important Skills

Critical Skills

SQL proficiency is essential as the foundation for all data extraction and manipulation tasks, particularly important when working with large-scale customer data and marketing attribution datasets that require complex joins and aggregations Python/R skills are crucial for statistical analysis, machine learning model development, and automation of analytical workflows, especially when building predictive models for customer lifecycle and marketing performance optimization Marketing attribution knowledge is fundamental to success in this role, as understanding multi-touch attribution models and customer journey analysis directly impacts the ability to optimize marketing spend and improve conversion rates

Beneficial Skills

Salesforce familiarity would provide significant advantage given the prevalence of Salesforce in B2B sales operations and the need to integrate CRM data with marketing analytics for comprehensive funnel analysis Causal inference techniques would enhance the ability to draw meaningful conclusions from observational data and design more effective experiments for marketing optimization Knowledge of marketing automation platforms and the broader B2B marketing technology stack would facilitate deeper integration of analytics with operational marketing processes

Unique Aspects

Opportunity to work with cutting-edge data streaming technology at a company that defines industry standards for real-time data processing and analytics
Direct exposure to the intersection of product development and marketing analytics, providing insights into both customer behavior and product performance metrics
Access to massive scale data sets generated by enterprise customers using Confluent's platform, offering unique learning opportunities in high-volume data analysis
Role positioned within the 'central nervous system' of company analytics, providing broad visibility across all business functions and strategic decision-making processes

Career Growth

Progression to senior individual contributor roles typically occurs within 2-3 years with demonstrated impact on key business metrics, while management track positions generally require 3-5 years of experience with proven leadership capabilities.

Potential Next Roles

Senior Data Scientist specializing in marketing analytics with expanded scope including team leadership and strategic planning responsibilities Marketing Analytics Manager overseeing a team of analysts and data scientists focused on customer acquisition and retention optimization Product Data Scientist role leveraging marketing insights to inform product development and feature prioritization decisions Business Intelligence Director position combining data science expertise with broader business strategy and operations oversight

Company Overview

Confluent

Confluent is a leading data streaming platform company founded by the original creators of Apache Kafka, positioned at the forefront of the real-time data infrastructure revolution with significant venture capital backing and a strong presence in the enterprise software market.

Confluent holds a dominant position in the data streaming market as a category-defining company, competing with major cloud providers and established enterprise software companies while maintaining technological leadership in real-time data processing.
This remote position within the United States provides access to a distributed team structure that leverages global talent while maintaining strong connections to major technology hubs and enterprise customers across North America.
The company emphasizes a collaborative, ego-free culture that values intellectual curiosity and cross-functional partnership, with strong emphasis on diversity and inclusion as foundational elements of their organizational approach.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.