Lensa
Associate Data Scientist, Marketing
Lensa - Richmond, Virginia, United States, 23214
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Lensa is the leading career site for job seekers at every stage of their career. Our client, Confluent, is seeking professionals in Richmond, VA. Apply via Lensa today!
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.
One Confluent. One team. One Data Streaming Platform.
Data Connects Us.
About The Role
The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are exciting opportunities for an experienced data scientist to make a significant and visible impact within a high-growth company.
As an Associate Data Scientist, Marketing at Confluent, you will play a key role in analyzing lead funnel efficiency, evaluating marketing performance, and supporting pipeline management. You will partner closely with stakeholders across Marketing, Growth, Sales, and Finance to drive insight generation and strategic decision-making. This role blends hands-on analytical work with business context and cross-functional collaboration to ensure our go-to-market strategies are data-informed.
What You Will Do
Explore marketing and sales data to identify opportunities for improving funnel conversion and pipeline generation. Define and refine marketing metrics to measure success, and build scalable reporting to monitor pipeline health and performance drivers. Translate well-defined business questions into analytics problems, select appropriate approaches, and communicate clear results to managers and business partners. Apply deep dive analysis, predictive modeling, or experimentation to drive product & go-to-market (GTM). Analyze customer journey phases—from awareness to conversion—leveraging metrics like ROI, CLTV, and CAC to uncover optimization opportunities. Collaborate with other data scientists to share techniques, improve processes, and contribute to a data-driven culture across Confluent.
What You Will Bring
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 Strong proficiency in SQL and 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 Bachelor’s or Master’s degree in a quantitative field such as computer science, statistics, economics, or engineering
What Gives You An Edge
Hands-on experience with marketing measurement and attribution across SEO, paid media, email, and other channels Familiarity with Salesforce and the B2B marketing tech stack Exposure to causal inference, customer segmentation, or predictive modeling techniques Experience working in cross-functional pods with stakeholders across Sales, Finance, and Product
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an hourly estimated pay of $62 - $71 / hour. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) .
Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
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With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.
One Confluent. One team. One Data Streaming Platform.
Data Connects Us.
About The Role
The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are exciting opportunities for an experienced data scientist to make a significant and visible impact within a high-growth company.
As an Associate Data Scientist, Marketing at Confluent, you will play a key role in analyzing lead funnel efficiency, evaluating marketing performance, and supporting pipeline management. You will partner closely with stakeholders across Marketing, Growth, Sales, and Finance to drive insight generation and strategic decision-making. This role blends hands-on analytical work with business context and cross-functional collaboration to ensure our go-to-market strategies are data-informed.
What You Will Do
Explore marketing and sales data to identify opportunities for improving funnel conversion and pipeline generation. Define and refine marketing metrics to measure success, and build scalable reporting to monitor pipeline health and performance drivers. Translate well-defined business questions into analytics problems, select appropriate approaches, and communicate clear results to managers and business partners. Apply deep dive analysis, predictive modeling, or experimentation to drive product & go-to-market (GTM). Analyze customer journey phases—from awareness to conversion—leveraging metrics like ROI, CLTV, and CAC to uncover optimization opportunities. Collaborate with other data scientists to share techniques, improve processes, and contribute to a data-driven culture across Confluent.
What You Will Bring
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 Strong proficiency in SQL and 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 Bachelor’s or Master’s degree in a quantitative field such as computer science, statistics, economics, or engineering
What Gives You An Edge
Hands-on experience with marketing measurement and attribution across SEO, paid media, email, and other channels Familiarity with Salesforce and the B2B marketing tech stack Exposure to causal inference, customer segmentation, or predictive modeling techniques Experience working in cross-functional pods with stakeholders across Sales, Finance, and Product
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an hourly estimated pay of $62 - $71 / hour. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) .
Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Lensa by 2x Sign in to set job alerts for “Data Scientist” roles.
Associate Director, Data Scientist & Data Operations
Software Engineer I (Merchant Data Platform)
Only Ex Capital One || Multiple Open Roles (Java/Python/Golang/Node.js, Data, DevOps, Data Analysts, UI Developers) || Only W2
State Farm, VA $69,100.00-$141,500.00 3 days ago Richmond, VA $110,000.00-$130,000.00 11 hours ago State Farm, VA $63,300.00-$129,700.00 3 days ago Senior Software Engineer, Backend (ML Platform)
Principal Engineer, Software (multiple positions)
Greater Richmond Region $100,000.00-$150,000.00 5 days ago State Farm, VA $53,100.00-$106,300.00 3 weeks ago State Farm, VA $69,100.00-$141,500.00 3 days ago Software Engineer II, Backend (Identity Decisioning)
State Farm, VA $53,100.00-$106,300.00 3 weeks ago Data Annotator (No Prior Experience Needed)
Richmond, VA $70,000.00-$110,000.00 2 weeks ago State Farm, VA $75,200.00-$158,100.00 3 days ago Senior Software Engineer (Experimentation Platform)
State Farm, VA $69,100.00-$141,500.00 1 day ago Staff Software Engineer, Full Stack (Agent Experience)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr