Data Scientist (Part-Time Remote $60 -$100 / hr)Call For Referral provided pay rangeThis 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 range60.00 / hr - $100.00 / hrDirect message the job poster from Call For ReferralHelping AI Startups Hire 0->1 Founding Engineers & Product Talent Backend & Infra US & EuropeExceptional Data ScientistsHourly Contract Part-Time Remote $60-$100 per hour1.About the RoleMercor is partnering with one of the world's leading AI research labs to engage experiencedData Scientistsin developing robust, high-performance systems that power next-generation machine learning applications.In this role, you will perform hands-on data science work -- from experiment design and data preprocessing to model development, evaluation, and deployment.You will also play a key role in writing, reviewing, and validatingprompt-based datasetsthat train AI systems to think and reason more effectively.This is aremote, part-time opportunityideal for data scientists who thrive in research-driven, highly technical environments.2.Key ResponsibilitiesDesign and executedata science experimentsfor AI model development and evaluation.Collect, preprocess, and analyze structured and unstructured datasets.Build and validate machine learning models using modern frameworks (TensorFlow, PyTorch, scikit-learn, etc.).Conductfeature engineering, data wrangling , andstatistical inferencefor experimentation and model optimization.Write, review, and validateprompt-based questions and tasksused to train advanced AI models.Collaborate closely with engineering and research teams to deploy production-ready solutions.3.Ideal Qualifications3yearsof professional experience indata science or applied analytics.Proficiency inPythonJupyter Notebooks) and libraries such asNumPy, Pandas, SciPy, SymPy, scikit-learn, TensorFlow, or PyTorch.Bachelor's degree inData Science, Statistics, Computer Science , or a related field from theU.S., Canada, U.K., Australia, or New Zealand.Strong foundation in :Exploratory data analysis and statistical inferenceMachine learning workflows and model evaluationFeature engineering, data preprocessing, and wranglingA / B testing, experimentation, or causal inferenceExcellentverbal and written communicationskills.Meticulous attention to detail and data quality.4.More About the OpportunityCommitment :20 - 40 hours per week (with potential to scale up to 80)Schedule :Fully remote and asynchronous -- work on your own timeDuration :Minimum 1 month, with potential extension based on performanceStart Date :Early September (applications reviewed on a rolling basis)5.Compensation & Contract TermsHourly Rate :60-$100 / hour (based on experience and region)Payments :Weekly viaStripe Connectfor services renderedTerms :Flexible, based on location and expertise6.Application ProcessSubmit your resume or portfolioto begin.Complete abrief formoutlining your technical background and agent usage experience.Applications are reviewed continuously -- selected candidates will be contacted for next steps.PS :Mercor reviews applications daily.Please complete your interview and onboarding steps to be considered for this opportunity.J-18808-Ljbffr. Experience: 3 years required