3087 Data Quality Analyst jobs in Fort Mill,SC

Up to USD $15 per hour, paid weekly

Earn up to USD $15 per hour

On average, contributors earn an additional 7.5% through Missions — Outlier's version of surge pricing. The top quartile boosts their earnings by an average of 11%.

Payments are processed weekly on Tuesdays, covering tasks completed during the previous pay period (Tuesday to Monday at midnight UTC), via PayPal, AirTM, or ACH transfer.

Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates apply. Additional incentives data is based on payments made in the past six months and is updated quarterly. Certain projects offer incentive payments. Please review the payment terms for each project.

Free access to leading LLMs, worth $200+/month

Flexible, no minimum hours

Work flexibly from anywhere, anytime, with no minimum hours. Set your own schedule, whether that's five or 40+ hours per week.

A valid ID and mobile phone from your country of residence

An up-to-date resume that highlights your expertise

A LinkedIn profile showing your educational background and work experience

You must be authorized to work in your country of residence

Fluent English speaker

Experience writing short, evidence-based explanations or reviews

Nice to have: Pursuing or holding a Bachelor's degree or above

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Demonstrated mastery and experience with languages such as R and/or Python (including relevant packages) in support of advanced analytics and AI/ML

Demonstrated experience with SQL, large data sets and the tools to efficiently obtain, transform, and store large volumes at scale. Firm understanding of data architecture and data warehousing techniques

Experience and proficiency with commercial cloud platforms such as AWS, Azure, GCP

Demonstrated experience and solid theoretical foundation of the properties of the major families of machine learning models, including regression, classification, clustering, neural networks, and large language models

Experience with large scale multi-series time series forecasting

Command of advanced mathematical concepts including calculus, PDEs, probability, and statistics

Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience

7+ years data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer

7+ years SQL/R/Python Programming

Experience in the advertising sales, cable and/or telecommunications industry

Advanced Python knowledge and deep experience in the AI/ML ecosystem surrounding Python

Experience in Operations-research/optimization, in particular mixed-integer programming, multi-objective optimization, CPLEX and Gurobi solver configuration and performance tuning

Experience in AWS ecosystem (including EMR, Glue, Athena, SageMaker, Bedrock)

Experience in Snowflake architecture, resource optimization, and performance tuning

Experience in distributed computing paradigms and parallel processing, including Spark optimization techniques and performance tuning

Experience in MLOps, including end-to-end ML pipelines with automated training, validation, and deployment, model registry systems for versioning and governance

Experience with development of systems using generative AI, reasoning models and agentic AI methods.

Master's Degree in related field