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Contract Data Scientist Quantitative Analyst Jobs

NextDeavor Inc.

Data Scientist

San Francisco, CA

$90.14 - $112.68/hr

Data Scientist Full-time San Francisco, CA, US You'll be joining Adobe on a contract opportunity ... Apply quantitative analysis and statistical modeling to uncover customer behavior and trends * Act ...

Popular

Quantitative Analyst

San Juan, PR · On-site

$80 - $120/hr

Education Bachelor's degree in Economics, Statistics, Mathematics, Biostatistics, Data Science ... Quantitative Analyst, Statistics, Compliance, MBA, M&A, Data, Legal, Management #J-18808-Ljbffr

Tenaska, Inc.

Quantitative Analyst

Omaha, NE

Data Science, Mathematics, Quantitative Analysis, Machine Learning, Business Analytics, Financial Engineering) * Entrepreneurial mindset with a strong sense of ownership - sets goals, drives outcomes ...

Ventus Solutions

Quantitative Analyst SETA

Arlington, VA · On-site

$150 - $195/hr

Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative ... contract labor rate requirements and may fall outside the stated range. In addition to base pay ...

Tenaska

Quantitative Analyst

Omaha, NE · On-site

$85 - $125/hr

Data Science, Mathematics, Quantitative Analysis, Machine Learning, Business Analytics, Financial Engineering) * Entrepreneurial mindset with a strong sense of ownership - sets goals, drives outcomes ...

Tenaska

Quantitative Analyst

Omaha, NE · On-site

Data Science, Mathematics, Quantitative Analysis, Machine Learning, Business Analytics, Financial Engineering) * Entrepreneurial mindset with a strong sense of ownership - sets goals, drives outcomes ...

Tenaska,-Inc.

Quantitative Analyst

Omaha, NE · On-site

$95 - $140/hr

Data Science, Mathematics, Quantitative Analysis, Machine Learning, Business Analytics, Financial Engineering) * Entrepreneurial mindset with a strong sense of ownership - sets goals, drives outcomes ...

Ventus Solutions

$150 - $195/hr

Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative ... contract labor rate requirements and may fall outside the stated range. In addition to base pay ...

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What is the difference between Contract Data Scientist Quantitative Analyst vs Contract Data Scientist Quantitative Analyst?

AspectContract Data Scientist Quantitative Analyst

Since the question compares the same job title, there is no difference between Contract Data Scientist Quantitative Analyst and itself. Both roles typically require similar skills, certifications, and work environments, focusing on data analysis, statistical modeling, and machine learning within various industries. They are often used interchangeably in job searches and industry discussions, emphasizing their overlapping responsibilities and qualifications.

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Quantitative Analyst

Wright-Patt Credit Union Inc.

Beavercreek, OH • On-site

$90 - $130/hr

Other

Re-posted 11 hours ago

Wright-Patt Credit Union rating

5.8

Company rating: 5.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

The Quantitative Analyst is responsible for leading high-impact statistical analysis, measurement design, and scalable analytics solutions that improve business performance and decision-making. This role partners closely with Strategy, Product, and Technology teams to evaluate key initiatives, identify performance drivers, develop statistically sound measurement approaches, and deliver executive-ready insights that influence priorities and investments. The Quantitative Analyst combines strong analytical depth with automation and repeatability, ensuring insights are accurate, timely, and operationally useful.

1) High-Impact Quantitative Analysis & Decision Science (30%)
  • Perform exploratory data analysis, segmentation, and trend analysis to uncover patterns and anomalies.
  • Apply statistical techniques such as hypothesis testing, confidence intervals, correlation, and regression analysis.
  • Identify opportunities for growth, efficiency, and experience improvement using data-backed recommendations.
  • Deliver decision-ready outputs that connect analysis to actions, tradeoffs, and expected outcomes.
2) Experimentation, Testing, and Impact Evaluation (25%)
  • Support A/B testing and experiment analysis including test design inputs, lift measurement, and interpretation.
  • Partner with product and business teams to define success metrics, baselines, and measurement plans.
  • Evaluate initiative effectiveness using controlled comparisons, pre/post analysis, and statistical significance testing.
  • Develop standardized experiment readouts and decision frameworks to improve speed and consistency.
3) Predictive Analytics & Optimization (20%)
  • Partner with data scientists to support model development by preparing datasets, validating features, and interpreting outputs.
  • Build and maintain scoring frameworks (propensity, prioritization, classification support) aligned to business use cases.
  • Support model evaluation using practical performance measures (lift, precision/recall, error rates).
  • Translate model outputs into actionable recommendations and operational workflows.
4) Automation & Scalable Analytics Delivery (15%)
  • Develop automated analysis workflows using SQL and Python to reduce manual effort.
  • Build reusable scripts, templates, and standardized datasets to improve reliability and consistency.
  • Partner with data engineering teams to improve data availability and support repeatable pipelines.
  • Implement monitoring and alerting for key performance indicators and threshold-based changes.
5) Communication, Visualization, and Executive Enablement (10%)
  • Build clear, executive-ready summaries and visualizations tied to business outcomes.
  • Present findings and recommendations to senior leaders and cross-functional teams.
  • Communicate confidence levels, limitations, and tradeoffs in a practical way.
  • Ensures proper policies, procedures, risk mitigation activities, and operating controls are followed. Reports gaps in policies, procedures, and operating controls to leadership to ensure member impact and risk is mitigated.
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