Overview
Team: Data Science & Marketing Analytics
Employment Type: Full-Time, Permanent
Work Style: Hybrid
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Data & Analytics
Associate Data Scientist – Marketing
Data Science & Marketing AnalyticsFull-Time, PermanentPalm Beach, FloridaHybrid
Job Overview
At Datemil Inc., data plays a central role in how we grow our platforms, understand our members, and make better decisions. As an Associate Data Scientist – Marketing, you will help support marketing strategy through data analysis, experimentation, modeling, and performance insights.
This role focuses on helping the Marketing, Growth, and Product teams understand what drives acquisition, engagement, retention, and conversion across our portfolio of platforms. You will work with campaign data, user behavior data, and product metrics to generate insights, build models, and improve marketing efficiency.
The ideal candidate is analytical, curious, detail-oriented, and comfortable working with large datasets, experimentation frameworks, and marketing performance metrics. This role is a great fit for someone early in their data science career who wants to grow in a fast-moving, cross-functional environment.
Apply for this role
Review the full role details below, then reach out to the team to continue the application process for this position.
Full-Time, Permanent
Palm Beach, Florida
Hybrid
What You'll Do
Marketing Analytics & Performance Insights
Analyze marketing performance across paid, organic, and partnership channels.
Measure campaign effectiveness, ROI, CAC, LTV, and conversion performance.
Identify trends that explain changes in acquisition, engagement, or retention.
Support marketing teams with data-driven recommendations.
Experimentation & A/B Testing
Help design, run, and analyze experiments related to marketing campaigns, landing pages, and user flows.
Ensure tests are statistically sound and properly measured.
Interpret results and communicate findings clearly.
Partner with Growth and Product teams to improve experimentation processes.
Data Modeling & Forecasting
Build models that help predict user behavior, campaign performance, and growth outcomes.
Support forecasting for acquisition, revenue, and engagement.
Help identify high-value users and segments.
Assist in developing scoring models for targeting and personalization.
Marketing Attribution & Measurement
Help maintain and improve attribution models.
Work with marketing teams to understand channel contribution.
Ensure tracking and measurement systems are reliable.
Investigate discrepancies in reporting.
Reporting & Dashboards
Build and maintain dashboards for marketing and growth teams.
Automate recurring reports where possible.
Ensure data is accurate, clear, and easy to understand.
Translate complex analysis into simple insights.
Data Pipeline & Data Quality Support
Work with Data Engineering to ensure marketing data is clean and usable.
Help validate new data sources.
Monitor data quality and fix issues.
Support integration of new tracking tools.
Cross-Functional Collaboration
Partner with Marketing, Growth, Product, Finance, and Engineering teams.
Help turn business questions into data analysis.
Present results in a way that supports decision-making.
Contribute to a culture of data-driven thinking.
AI & Advanced Analytics
Use statistical and machine learning methods where appropriate.
Explore ways AI can improve targeting, personalization, and campaign performance.
Support responsible use of automation and modeling.
Balance advanced techniques with clear business value.
About You
Typically requires 2–4 years of experience in Data Science, Marketing Analytics, Statistics, or a related field, though we welcome candidates with strong academic or project experience.
Strong skills in SQL and experience working with large datasets.
Experience with Python or R for data analysis and modeling.
Familiarity with marketing metrics such as CAC, LTV, CTR, conversion rate, retention, and ROI.
Experience with A/B testing or experimentation frameworks.
Comfortable working with dashboards and visualization tools (Tableau, Looker, Power BI, or similar).
Understanding of statistics, probability, and data analysis fundamentals.
Ability to explain technical results to non-technical partners.
Detail-oriented and organized.
Curious and eager to learn.
Comfortable working in a fast-moving environment.
Nice to Have
Experience with marketing attribution models.
Experience with machine learning.
Experience with growth or product analytics.
Familiarity with cloud data platforms (BigQuery, Snowflake, Redshift, etc.).
Experience working with digital marketing data.
About Datemil Inc.
Datemil Inc. is the parent company of Datemil Date, V.I.Pursuit, Concierge Matchmaking, Plink Bestie, Networking, and Coaching. We use data and technology to help people build meaningful connections while continuously improving our platforms through thoughtful analysis and innovation.
AI Fluency
We encourage responsible use of AI and data science tools to improve decision-making, efficiency, and insight generation. We value candidates who understand both the power and the limits of automation, and who can apply strong judgment when working with data.
Candidates may use AI tools during the application process but should not use them to misrepresent experience or provide inauthentic responses.
Inclusion & Equal Opportunity
Datemil Inc. is committed to creating an inclusive workplace where everyone feels respected and supported. We welcome applicants from all backgrounds and provide reasonable accommodations throughout the hiring process.
AI in the Hiring Process
We may use AI-assisted tools during the recruitment process, such as transcription, summarization, or resume matching. These tools help our team work more efficiently, but all hiring decisions are made by people.
Participation in AI-supported interviews is optional.
Why Join Us
Work on real marketing and growth data at scale
Help shape data-driven strategy
Collaborate with marketing, product, and engineering
Grow your data science career
Be part of a company focused on meaningful connections
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If this position matches your background and interest, continue to the application contact flow for this specific role.
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