Senior Data Scientist – Growth & Marketing Analytics

DateMil; Florida; Hybrid; USD 120,000 - 145,000; Full time

Job summary

Datemil Inc. is hiring for a Marketing Analytics Lead to drive data-backed growth across paid, organic, referral, and partnerships. You will design experiments, build predictive models for user acquisition, engagement, and LTV, and develop scoring systems for precision targeting.

You will collaborate with Marketing, Growth, Product, Finance, and Engineering to translate business questions into data problems, build dashboards, and influence leadership decisions with clear, actionable insights.

Qualifications

• 5–8 years of experience in Data Science, Marketing Analytics, Statistics, or related field.
• Strong experience working with marketing, growth, or product data.
• Advanced SQL Skills And Experience With Large Datasets.
• Strong experience with Python, R, or similar languages.
• Solid understanding of statistics, experimentation, and modeling.
• Experience with A/B testing and causal inference.
• Experience with dashboards and visualization tools (Tableau, Looker, Power BI, etc.).
• Strong communication skills with both technical and business teams.
• Ability to work independently and lead projects.
• Comfortable working in fast-moving environments.

Responsibilities

• Lead deep analysis of marketing performance across paid, organic, referral, and partnership channels.
• Evaluate campaign effectiveness using CAC, LTV, ROI, retention, and conversion metrics.
• Identify opportunities to improve acquisition quality and cost efficiency.
• Provide clear recommendations that influence marketing strategy.
• Design and evaluate A/B tests and multivariate experiments.
• Build predictive models for user acquisition, engagement, retention, and lifetime value.
• Develop segmentation and scoring models for targeting and personalization.
• Support forecasting for growth, revenue, and campaign performance.
• Improve marketing attribution models across channels.
• Work with Data Engineering to improve data pipelines for marketing analytics.
• Build dashboards and analytical reports for marketing and leadership.
• Turn complex analysis into simple, actionable insights.

Skills

Advanced SQL

Python

R

Tableau

Looker

Power BI

BigQuery

Snowflake

Marketing analytics

AB testing

Causal inference

Dashboards

Data storytelling

Communication

Project leadership

Tools

SQL

Tableau

Looker

Power BI

BigQuery

Snowflake

Python

R

SQL

Job description

Overview

Team: Data Science, Growth & Marketing Intelligence

Employment Type: Full-Time, Permanent

Work Style: Hybrid

Key Responsibilities

Marketing & Growth Analytics Leadership

• Lead deep analysis of marketing performance across paid, organic, referral, and partnership channels.


• Evaluate campaign effectiveness using CAC, LTV, ROI, retention, and conversion metrics.


• Identify opportunities to improve acquisition quality and cost efficiency.


• Provide clear recommendations that influence marketing strategy.

Experimentation & Causal Analysis

• Design and evaluate A/B tests and multivariate experiments.


• Ensure experiments are statistically valid and properly measured.


• Interpret results and communicate tradeoffs clearly.


• Help build experimentation standards across marketing and product teams.

Predictive Modeling & Machine Learning

• Build predictive models for user acquisition, engagement, retention, and lifetime value.


• Develop segmentation and scoring models for targeting and personalization.


• Support forecasting for growth, revenue, and campaign performance.


• Apply machine learning where it provides real business value.

Attribution & Measurement Frameworks

• Improve marketing attribution models across channels.


• Work with marketing teams to understand true performance impact.


• Evaluate incrementality and channel contribution.


• Help design reliable tracking and measurement systems.

Data Infrastructure & Tooling

• Work with Data Engineering to improve data pipelines for marketing analytics.


• Ensure marketing, product, and user data are accurate and usable.


• Help define data standards and naming conventions.


• Support integration of new tracking tools and platforms.

Reporting & Decision Support

• Build dashboards and analytical reports for marketing and leadership.


• Turn complex analysis into simple, actionable insights.


• Communicate results clearly to technical and non-technical partners.


• Help teams make decisions based on data instead of assumptions.

Cross-Functional Partnership

• Work closely with Marketing, Growth, Product, Finance, and Engineering.


• Help translate business questions into data problems.


• Support planning, forecasting, and performance reviews.


• Influence strategy through data-driven insights.

AI & Advanced Analytics

• Use statistical and machine learning methods responsibly.


• Explore new approaches for targeting, personalization, and optimization.


• Support responsible use of automation in decision-making.


• Balance advanced modeling with practical business needs.

About The Job

Typically requires 5–8 years of experience in Data Science, Marketing Analytics, Statistics, or a related field.

Strong experience working with marketing, growth, or product data.

Advanced SQL Skills And Experience With Large Datasets.

Strong experience with Python, R, or similar languages.

Solid understanding of statistics, experimentation, and modeling.

Experience with A/B testing and causal inference.

Experience with dashboards and visualization tools (Tableau, Looker, Power BI, etc.).

Strong communication skills with both technical and business teams.

Ability to work independently and lead projects.

Comfortable working in fast-moving environments.

Preferred Qualifications

• Experience with marketing attribution models.


• Experience with machine learning in production.


• Experience with cloud data platforms (BigQuery, Snowflake, Redshift, etc.).


• Experience with growth, subscription, or marketplace products.


• Experience supporting executive decision-making with data.

Compensation

Salary Range: $120,000 – $145,000 annually, depending on experience and qualifications.

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, technology, and thoughtful design to help people build meaningful connections while continuously improving our platforms through analytics and innovation.

AI Fluency

We value thoughtful use of AI and advanced analytics to improve decision-making and efficiency. However, we expect strong human judgment when interpreting data and making business recommendations.

Candidates may use AI tools during the application process but should not use them to misrepresent experience.

Inclusion & Equal Opportunity

Datemil Inc. is committed to building an inclusive workplace where all employees feel 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 recruitment, such as transcription, summarization, or resume matching. These tools support efficiency, but all hiring decisions are made by people.

Participation in AI-supported interviews is optional.

Why Join Us

• Lead high-impact data science work


• Influence marketing and growth strategy


• Work with large-scale real data


• Partner with product, engineering, and leadership


• Help build smarter, data-driven platforms