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Confie
Confie

Data Scientist - Marketing

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Data Science
Marketing strategies
+35

Permanent role
6 days ago
Apply now

About our company

Confie is the largest independent personal lines insurance agency and broker in the United States—serving customers nationwide. In 2010, we established our Shared Services Center in Tijuana, Baja California, creating a world-class operation built to efficiently support our customers, drive innovation, and develop exceptional talent. Since then, our Mexico operation has become a vital extension of our organization, strengthening the work that powers our U.S. business and elevating the experience of customers across all 50 states. Today, more than 1,800 team members—both on-site and remote—help fuel our success with a focus on quality, consistency, and operational excellence.

Our growth reflects a deep investment in technology, continuous improvement, and—most importantly—our people. We foster an inclusive, fast-paced, and collaborative culture where employees are encouraged to grow and build long-term careers with a company shaping the future of insurance.

Learn more at www.confiemx.com

Data Scientist - Marketing Analytics

Reporting to the Head of Digital Transformation, we are seeking a highly technical, hands-on Data Scientist to drive advanced analytics, experimentation, and data science solutions across our marketing and growth initiatives. This role blends deep statistical and engineering expertise with business-facing storytelling, using marketing data as a primary domain of application.

Requirements

  • Advanced programming skills in Python or R for data science (pandas, NumPy, scikit-learn, statsmodels, etc.)
  • Strong proficiency in SQL and experience working with large, complex datasets
  • Hands-on experience with cloud data warehouses such as Snowflake or Google BigQuery
  • Expertise in designing and maintaining ETL/ELT pipelines and analytical data models
  • Strong background in statistical modeling, including regression, causal inference, time-series analysis, and experimental design
  • Experience applying or developing machine learning models for prediction, classification, segmentation, or optimization
  • Data visualization and storytelling experience using Tableau, Looker, Power BI, or Python visualization libraries
  • Advanced Excel skills for validation, ad hoc analysis, and stakeholder communication

Plus:

  • Previous experience applying analytics or data science within marketing, growth, or revenue-focused teams
  • Understanding of digital marketing data (paid media, SEO, lifecycle marketing, funnels, conversion metrics)
  • Experience working with marketing and customer data platforms such as Google Analytics (GA4), HubSpot, Google Ads, LinkedIn Ads, Meta, or equivalent
  • Familiarity with marketing attribution frameworks, incrementality testing, and media measurement concepts
  • Ability to partner effectively with marketing, product, and finance stakeholders

Key Responsibilities

  • Lead marketing-focused data science and advanced analytics initiatives, setting analytical standards and best practices
  • Partner with marketing leadership to frame business questions as analytical and modeling problems
  • Design and implement predictive models, regression analyses, media mix models, and uplift/incrementality analyses
  • Conduct deep exploration data analysis to uncover growth opportunities, inefficiencies, and hidden patterns
  • Collaborate with data engineering teams to ensure scalable, reliable, and well-modeled datasets
  • Maintain high data quality standards, documentation, and reproducibility across analyses

Benefits

  • Remote position (Mexico-based).
  • Private Health Insurance.
  • Major Medical Insurance.
  • Life Insurance.
  • Saving Funds and Voluntary Savings Account.
  • Profit Sharing (PTU).
  • Vacation Days (above law).
  • Christmas bonus (above law)
  • Vacation premium.
  • Management bonus.

About Confie

👥501-1000
📍Hackensack
🔗Website
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