Data Scientist - Remote

PERSIST, LLC
United States
25 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$70,000.0 - $90,000.0
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Google AdWords Data Analysis Big Data Customer Data Management Google Analytics Python (Programming Language) Machine Learning Marketing Information Systems Power BI Shopify SQL Databases
+4 more
Tableau (Software) Information Technology Performance Monitor Looker Analytics

Job description

The Marketing Data Scientist will leverage advanced analytics, statistical modeling, machine learning, and data-driven insights to optimize marketing performance, improve customer acquisition, enhance retention strategies, and maximize revenue growth. This role partners closely with Marketing, Growth, Product, and Business teams to translate complex data into actionable strategies that drive measurable business outcomes.

The ideal candidate combines strong analytical skills with marketing expertise and has experience working with customer data, digital marketing channels, attribution models, experimentation, and predictive analytics.

What You’ll Do:

  • Analyze marketing, customer, sales, and campaign data to identify trends and growth opportunities.
  • Track and analyze key marketing metrics such as CAC, ROAS, conversion rate, revenue, retention, and LTV.
  • Build and maintain marketing performance reports, dashboards, and recurring analysis.
  • Use SQL and Python to extract, clean, analyze, and visualize data.
  • Conduct customer segmentation, cohort analysis, funnel analysis, and behavioral analysis.
  • Support A/B testing and marketing experiments, including test setup, analysis, and interpretation of results.
  • Identify patterns and performance drivers across marketing channels and customer segments.
  • Support forecasting and basic predictive analysis where required.
  • Work with Marketing, Growth, and Operations teams to answer business questions using data.
  • Communicate findings clearly and provide practical recommendations to improve marketing performance.
  • Ensure data accuracy and consistency across reports and analysis.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • 2-3 years of experience in Data Science, Marketing Analytics, Business Analytics, or a similar role.
  • Strong proficiency in SQL.
  • Working knowledge of Python or R for data analysis.
  • Strong understanding of statistics and data analysis.
  • Experience with A/B testing, segmentation, cohort analysis, and performance reporting.
  • Ability to work with large datasets and identify meaningful business insights.
  • Strong problem-solving and communication skills.

Deal-Breakers/ Must haves:-

  • Ecommerce, DTC, subscription, or performance marketing experience.
  • Experience with Google Ads, Meta Ads, GA4, Shopify, CRM, and marketing analytics platforms.
  • Experience with BI tools such as Tableau, Looker, or Power BI.
  • Experience with customer segmentation, cohort analysis, attribution, and marketing mix analysis.
  • Reduction in reporting and analysis turnaround time.
  • Data accuracy and consistency across marketing reports.
  • Adoption of insights and recommendations by Marketing and Growth teams.

Benefits & conditions

$70,000 - $90,000 a year - Full-time, Contract, Note:- Pay range provided is for Full-time Employment. If you are a Global candidate and being interviewed for a Contract position, pay range will vary based on region, experience and other business factors. Do not consider same pay range for both Employment types.

Pay: $70,000.00 - $90,000.00 per year

Application Question(s):

  • Tell me about your marketing/e-commerce analytics experience.
  • What BI/dashboarding tools have you used?
  • Explain how you would design an A/B test for a marketing campaign.
  • Campaign performance dropped 30%. How would you investigate it?
  • What marketing channels and datasets have you worked with?
  • Do you have eCommerce industry experience?
  • What would you do if marketing and finance report different revenue numbers?
  • Tell me about an analysis that resulted in a business or marketing decision.

About the company

Persist Brands is a fast-growing direct-to-consumer eCommerce company that builds and scales aggressive direct-response consumer brands across categories like apparel, beauty, wellness, and lifestyle. We combine performance marketing, creative testing, data analysis, and operational execution to turn consumer products into scalable offers.

We are a performance-driven company built around speed, data, creative testing, and operational execution. Our team launches and scales products through paid media, high-converting funnels, strong creative strategy, customer retention, and disciplined backend operations.

At Persist Brands, we move fast, test aggressively, and optimize constantly. We are looking for ambitious, resourceful, and highly accountable people who want to join a lean, growth-focused company where their work has a direct impact on revenue, customer experience, and long-term brand value.

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