Senior Data Scientist

ecoATM Gazelle

Senior Data Scientist for ecoATM transforming data into actionable insights across Product operations and business analytics. Collaborating with cross-functional teams to enhance customer experience and operational efficiency.

Posted 7/23/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $154,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in Data Science and Analytics, with a strong focus on developing KPIs, predictive models, and performance measurement frameworks. Proficient in SQL and Python, capable of translating complex data insights into actionable business strategies.

Highest-signal resume keywords

Advanced SQL SkillsStrong Python ProgrammingStatistical Techniques and Causal InferenceETL/ELT Workflow DesignDashboard and Report Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceProduct AnalyticsBusiness AnalyticsPredictive ModelingStatistical AnalysisA/B TestingHypothesis TestingExperimental DesignData Quality ImprovementPerformance Measurement Frameworks

Soft Skills

Strong Communication SkillsProject ManagementCross-Functional CollaborationAnalytical Problem Solving

Tools & Technologies

TableauPower BILookerSigmaBI Tools

Industry Keywords

KPI DevelopmentCustomer EngagementOperational EfficiencyData QualityAnalytics Engineering

Tech Stack

Tools & technologies

ETLPythonSQLTableau

About the role

Key responsibilities & impact

Partner with Product, Operations, Finance, and other business teams to answer high-impact business questions using data.
Translate ambiguous business problems into structured analytical approaches and actionable recommendations.
Develop KPIs, metrics, and performance measurement frameworks.
Present insights and recommendations to senior leadership in a clear, compelling manner.
Serve as a trusted analytical advisor to cross-functional stakeholders.
Design, execute, and analyze A/B tests and other experiments.
Evaluate product features using statistical techniques and causal inference.
Identify opportunities to improve customer engagement, conversion, retention, and operational efficiency.
Build measurement frameworks for new products and initiatives.
Develop predictive models, forecasting solutions, segmentation models, and optimization algorithms where appropriate.
Apply statistical and machine learning techniques to solve business problems.
Collaborate with engineering teams to deploy analytical solutions into production when needed.
Evaluate model performance and communicate trade-offs to business stakeholders.
Write complex SQL queries against large-scale datasets.
Design, build, and maintain executive dashboards, reports, and self-service analytics.
Develop reliable ETL/ELT pipelines that support reporting and analytical workflows.
Improve data quality, documentation, and metric consistency across the organization.
Help establish best practices for analytics engineering and reporting.

Requirements

What you’ll need

BS in Statistics, Computer Science, Economics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
6+ years of experience in Data Science, Product Analytics, Business Analytics, or a related analytical role.
Advanced SQL skills with experience querying large, complex datasets.
Strong Python programming skills.
Deep understanding of statistics, hypothesis testing, and experimental design.
Experience building dashboards and reports using modern BI tools (Tableau, Power BI, Looker, Sigma, etc.).
Experience designing and maintaining ETL/ELT workflows.
Strong communication skills with the ability to explain analytical findings to both technical and non-technical audiences.
Demonstrated ability to independently manage ambiguous, cross-functional projects.

Benefits

Comp & perks

This position may also be eligible for short-term and long-term incentives based on individual and company performance.