Senior Data Scientist

Givelify

. Own development of organization-wide business dashboards providing insight into company performance, functional health, and execution velocity .

Posted 10/8/2026full-timeRemote • United States, CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and advanced analytics, with a strong focus on building business dashboards and predictive modeling. Proficient in experimental design and causal inference, translating complex data insights into actionable recommendations for stakeholders.

Highest-signal resume keywords

Data ScienceBusiness IntelligenceExperimental DesignPredictive ModelingSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

A/B TestingCausal InferenceRegressionClassificationSegmentationTime SeriesGradient BoostingPythonRStatistics

Soft Skills

Stakeholder EngagementProcess ImprovementTeam Leadership

Tools & Technologies

DatabricksPandasScikit-LearnStatsmodelsPySparkAI/LLM Tools

Certifications & Qualifications

Master's DegreePh.D.

Industry Keywords

Data GovernanceOperational VisibilityDecision-MakingBehavioral ModelsExploratory Analysis

Tech Stack

Tools & technologies

PandasPySparkPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Own development of organization-wide business dashboards providing insight into company performance, functional health, and execution velocity
Define, instrument, and maintain important metrics with cross-functional teams
Design and execute rigorous A/B and multivariate experiments with Product and cross-functional teams
Advance experimentation methodology, including measuring experience-driven features and managing concurrent experiments
Build predictive and behavioral models covering segmentation, churn, propensity, and related analyses
Translate complex analytical findings into decision-ready recommendations for executives and cross-functional stakeholders
Surface opportunities to apply experimentation and causal rigor across the organization
Involve stakeholders throughout the analytical process, from question definition through recommendation
Lead with expertise, build strong processes, and improve team capabilities

Requirements

What you’ll need

5–8+ years of experience in data science, business intelligence, applied statistics, or advanced analytics
Master's or Ph.D. in Statistics, Data Science, Operations Research, Mathematics, Econometrics, or a related quantitative field
Strong track record building business dashboards and insight systems that drive operational visibility and executive decision-making
Solid experience with experimental design and causal inference, including A/B testing, power analysis, difference-in-differences, and propensity methods
Strong background in predictive and behavioral modeling, including regression, classification, segmentation, time series, and gradient boosting
Expert in SQL
Advanced proficiency in Python, including pandas, scikit-learn, statsmodels, and PySpark, and/or R
Hands-on experience with modern data stacks; Databricks preferred
Practical fluency using AI/LLM tools for exploratory analysis, code assistance, and documentation
Understanding of responsible AI use and data governance
Comfortable working across varied problem types

Benefits

Comp & perks

Competitive pay
Full benefits to help care for you today and in the future
Amazing perks, including flexible PTO
Virtual team environment
Opportunity to put passion and purpose front and center