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Hourly R Statistics Jobs in California (NOW HIRING)

Asian Americans Advancing Justice - Los Angeles

$22/hr

Familiarity with R and statistical packages are preferred. * Proven problem solving and debugging ... This hourly position reports to the Information Technology Director. * The expected hours for this ...

Sensis

Analytics Associate

Los Angeles, CA · On-site

Experience with at least one statistical or analytical tool (e.g., R, Python, STATA, SPSS, or SQL ... The salary range for this role is $55,000-$65,000 The offered salary or hourly rate is based on ...

Keck Medicine of USC

Project Assistant

Los Angeles, CA · On-site

$25.96/hr

Computer programming skills in Matlab, Python, R, C++, shell scripting and knowledge of image ... Preferred Education Master's degree in applied statistics or a related field. The hourly rate range ...

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What is the difference between Hourly R Statistics vs R Data Analyst?

AspectHourly R StatisticsR Data Analyst
CredentialsTypically requires a degree in statistics, mathematics, or related fieldRequires similar credentials, often with additional experience in data analysis
Work EnvironmentFreelance, consulting, or project-based rolesFull-time or part-time employment within organizations
Industry UsageUsed across various industries for statistical modelingPrimarily employed in data-driven sectors like finance, healthcare, and tech

Hourly R Statistics roles focus on providing statistical services on an hourly basis, often freelance or project-based, while R Data Analysts typically work as full-time employees analyzing data within organizations. Both roles require strong statistical skills and proficiency in R, but their work settings and employment types differ.

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Hourly R Statistics jobs near you
Infographic showing various Hourly R Statistics job openings in California as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Scientist (Part-Time | Remote | $100 -$120/hr )

Call For Referral

San Francisco, CA • Remote

$100 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist (Part-Time | Remote | $100 –$120/hr ) This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $100.00/hr - $120.00/hr Helping AI Startups Hire 0→1 Founding Engineers & Product Talent | Backend & Infra | US & Europe Data Scientist (AI Task Evaluation & Statistical Analysis Specialist) Hourly Contract | Part-Time Remote | $100 –$120 per hour 1.

About the Role Mercor is partnering with a leading AI research lab to hire experienced Data Scientists specializing in AI task evaluation and statistical analysis . In this role, you will conduct comprehensive failure analysis on AI agent performance across finance-sector tasks — identifying systemic patterns, diagnosing performance bottlenecks, and improving model evaluation frameworks. You'll work closely with AI engineers and research analysts to transform raw evaluation data into actionable insights, strengthening the quality, fairness, and reliability of large-scale AI systems.

2. Key Responsibilities Statistical Failure Analysis: Identify recurring patterns in AI agent failures across task components (prompts, rubrics, file types, tags, etc.). Root Cause Analysis: Determine whether issues stem from task design , rubric clarity , file complexity , or agent limitations .

Dimensional Analysis: Examine performance variations across finance sub-domains , file structures, and evaluation criteria. Visualization & Reporting: Build dashboards and analytical reports that highlight edge cases, performance clusters, and opportunities for improvement. Framework Enhancement: Recommend refinements to rubric design, evaluation metrics, and task structures based on empirical findings.

Stakeholder Communication: Present key insights to data labeling teams, ML engineers, and research collaborators . 3. Required Qualifications Strong foundation in statistical analysis, hypothesis testing, and pattern recognition .

Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Hands‐on experience with exploratory data analysis (EDA) and feature interpretation . Understanding of AI/ML evaluation methodologies and LLM performance metrics .

Skilled in using Excel , SQL , and data visualization tools (e.g., Tableau, Looker). 4. Preferred Qualifications Experience with AI/ML model evaluation or quality assurance pipelines .

Background in finance or interest in learning financial domain structures. Familiarity with benchmark datasets , failure mode analysis , and evaluation frameworks . 2–4 years of relevant professional experience in data science, analytics, or applied statistics.

5. More About the Opportunity Commitment: Part‐time, 20–25 hours/week Schedule: Fully remote and asynchronous — work on your own time Duration: 1–2 months, with strong potential for extension Start Date: Immediate 6. Compensation & Contract Terms Hourly Rate: $100–$120/hour (based on experience and region) Payments: Weekly via Stripe Connect for approved work PS: Mercor reviews applications daily.

Please complete your interview and onboarding steps to be considered for this opportunity. #J-18808-Ljbffr

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