Search for Associate Data Scientist roles in Richmond, VA, focused on marketing analytics, requiring 2+ years of experience, with proficiency in SQL, and a Bachelor’s or Master’s degree in a quantitative field.

Okay, I've searched for Associate Data Scientist roles in Richmond, VA, specifically focusing on marketing analytics. The positions require 2+ years of experience and proficiency in SQL, with a Bachelor's or Master's degree in a quantitative field. I have found 47 suitable positions for you.

Associate Data Scientist

Richmond, VA

2 years + Experience

SQL

Bachelor

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Associate Data Scientist, Marketing role at Confluent is fundamentally entrusted with analyzing and enhancing the efficiency of the marketing lead funnel, evaluating marketing performance, and supporting overall pipeline management. Key responsibilities include leveraging both hands-on analytical skills and an understanding of business contexts to drive data-informed strategic decisions. Success in this role is marked by the ability to translate complex business questions into actionable analytics and to communicate findings effectively across various functions, from Marketing to Sales. The position requires not only technical skills in SQL and Python or R but also a collaborative mindset to work cross-functionally, indicating that the candidate must navigate diverse stakeholder perspectives while optimizing the marketing strategy. The challenges will likely revolve around ensuring the accuracy and relevance of data in a fast-paced, market-oriented environment, where rapidly changing data landscapes require constant refinement of metrics and approaches. Performance expectations will likely center around contributing to measurable improvements in funnel conversion rates and the generation of actionable insights that inform Confluent's go-to-market strategies within the first year.

Company Analysis:

Confluent operates in the rapidly evolving data infrastructure industry, specifically focusing on data streaming technology, a cutting-edge field with significant growth potential. This positioning not only solidifies Confluent’s status as an innovator but also translates into a dynamic work environment that is likely fast-paced and heavily influenced by technological advancements. The company culture appears to prioritize inclusivity and diversity, aligning with modern workplace values that encourage varied perspectives and collaborative problem-solving among teams. As an Associate Data Scientist, the individual would likely fit into a larger team that serves as a critical resource for optimizing business strategies, indicating a role with substantial visibility and influence. This relationship with other departments such as Sales and Finance suggests that the role can contribute significantly to the company’s strategic objectives—leveraging data analytics to enhance performance and driving marketing executes that align with overarching business goals. The emphasis on data-driven decision-making indicates that this hire serves not only to fill a technical role but also as a strategic partner in scaling operations and enhancing market competitiveness.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you improved a marketing process through data analysis. What challenges did you face, and what was the outcome?
How do you prioritize which insights to present to stakeholders when you have a large amount of data?
Describe a situation where you had to communicate complex analytical results to a non-technical audience. How did you ensure they understood?
Can you give an example of a marketing campaign you analyzed and the impact your analysis had on it?
How would you approach analyzing lead funnel efficiency for a new marketing campaign?
Explain the process you would use to build a dashboard that tracks key marketing metrics.
Describe a time when you used A/B testing to measure the effectiveness of a marketing strategy. What were the results?
Imagine you are tasked with improving conversion rates on a customer journey. What steps would you take to analyze and optimize this process?
If you noticed an unexpected drop in leads generation, how would you investigate and address the issue?
Why are you interested in working at Confluent specifically, and how do you see your skills contributing to our mission?
How do your values align with Confluent's commitment to diversity and inclusivity in the workplace?
What aspects of Confluent's innovative approach to data streaming excite you the most?
What questions do you have about our data culture and how the data science team collaborates with other departments?
Can you elaborate on your experience with marketing attribution techniques and how you have applied this in past roles?
What specific methods do you use for predictive modeling, and how have you implemented those in a professional context?

Job Details

Overview Company

Associate Data Scientist

$62/h-$71/h

Lensa

7 days ago

Highlight

OnsiteFull-time2+ yearsEntry

Summary

Confluent is seeking an Associate Data Scientist, Marketing to join their team in Richmond, VA. The role involves analyzing marketing performance and supporting pipeline management to drive data-informed go-to-market strategies.

About the Role

As an Associate Data Scientist, Marketing, you will analyze lead funnel efficiency, evaluate marketing performance, and support pipeline management. You will collaborate with stakeholders across Marketing, Growth, Sales, and Finance to generate insights and drive strategic decision-making. Your tasks include exploring marketing and sales data, defining marketing metrics, building scalable reporting, and applying deep dive analysis, predictive modeling, or experimentation to enhance product and go-to-market strategies.

About You

Required:

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

Preferred:

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.

Benefits

Competitive pay with an estimated hourly rate of $62–$71.
Wide range of employee benefits in line with industry standards.

Lensa

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Richmond, VA