Senior Analyst, Data Science

. Design and execute end-to-end analyses that surface meaningful business insights.

Posted 5/6/2026full-timeFort Mill • North Carolina, Texas • 🇺🇸 United StatesSenior💰 $85,902 - $143,170 per yearWebsite

Tools & technologies

PythonSQL

Key responsibilities & impact

Design and execute end-to-end analyses that surface meaningful business insights.
Apply statistical methods to answer business questions with rigor and clarity.
Build, validate, and deploy supervised and unsupervised machine learning models.
Evaluate model performance and communicate trade-offs and assumptions to audiences.
Design and analyze A/B tests to identify causal relationships and measure impact.
Document analytical workflows and contribute to building a scalable data science practice.

What you’ll need

2–4 years of experience in a data science, quantitative analysis, or applied research role in a business setting.
Proficiency in Python for data manipulation, statistical analysis, and machine learning.
Solid grounding in statistics, probability, and machine learning fundamentals.
Hands-on experience with causal inference methods and experimental design.
Experience working with large-scale data in SQL & Snowflake.
Data visualization skills and ability to communicate findings clearly to non-technical stakeholders.
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field required; Master’s degree preferred.

Comp & perks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonstatistical analysismachine learningcausal inference methodsexperimental designSQLSnowflakedata visualizationstatisticsprobability

Soft Skills

communicationanalytical thinkingproblem-solvingcollaborationclarity in presentation