Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Inmetrics

Senior Data Science Analyst

Inmetrics

. Provide technical leadership to the team.

Posted 10/21/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced expertise in statistical modeling and machine learning techniques to drive business insights and strategies. Proficient in data analysis, visualization, and connecting mathematical models to business objectives for effective decision-making.

Highest-signal resume keywords
Statistical ModelingPython/R ProficiencySQL ProficiencyPredictive ModelingData Visualization

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Regression AnalysisDecision TreesClusteringData CleaningData AnalysisModel OptimizationPredictive ModelsPrescriptive ModelsChurn ModelingPropensity Modeling
Soft Skills
Technical LeadershipStrategic RecommendationsCommunication
Tools & Technologies
Media Activation PlatformsDigital Data Ecosystem
Industry Keywords
ROILTVCPAData VisualizationMarket Behavior Analysis

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Provide technical leadership to the team.
  • Provide technical leadership in the development, maintenance, and optimization of predictive and prescriptive models for the business.
  • Apply statistical and machine learning techniques and resources.
  • Collect, maintain, process, clean, and analyze business-related databases.
  • Develop tools and models to analyze company and market behavior.
  • Create data visualizations and ensure interpretations are grounded in statistical evidence.
  • Develop propensity and churn models to infer future consumer behavior.
  • Create clusters and target-audience segments for digital audience strategies.
  • Monitor model accuracy in production and make adjustments as needed.
  • Translate complex statistical data into strategic recommendations for Growth and Media teams.

Requirements

What you’ll need
  • Advanced experience in statistical modeling, including regression, decision trees, and clustering.
  • Proficiency in tools for handling large volumes of data, including Python/R and SQL.
  • Knowledge of media activation platforms and the digital data ecosystem.
  • Ability to connect mathematical models to business objectives, including ROI, LTV, and CPA.

Benefits

Comp & perks
  • Bradesco Health Insurance (30% co-pay)
  • Bradesco Dental Insurance (no employee contribution)
  • Life Insurance
  • Wellhub (formerly Gympass)
  • Childcare Assistance
  • Assistance for Children with Disabilities
  • Payroll-Deducted Loan Program
  • Private Pension Plan
  • Pet Care Partnership
  • SESC Partnership
  • Conexa Telemedicine
  • Expense Allowance
  • Meal/Food Allowance
  • Multi-Benefit Card
  • Health Plan Upgrade
  • Extended maternity and paternity leave
  • Expectant Parent Support Program
  • Newborn Gift Basket and the book “It Happened When I Was Born”
  • Courses available through the company’s internal university
  • 100% remote or hybrid work, depending on project requirements