Data Scientist (Part-Time | Remote | $60 –$100/hr)

Data Scientist (Part-Time | Remote | $60 –$100/hr)Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.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 range$60.00/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 experienced Data Scientists in 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 validating prompt-based datasets that train AI systems to think and reason more effectively.This is a remote, part‐time opportunity ideal for data scientists who thrive in research‐driven, highly technical environments.2. Key ResponsibilitiesDesign and execute data science experiments for 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.).Conduct feature engineering, data wrangling, and statistical inference for experimentation and model optimization.Write, review, and validate prompt-based questions and tasks used to train advanced AI models.Collaborate closely with engineering and research teams to deploy production‐ready solutions.3. Ideal Qualifications3+ years of professional experience in data science or applied analytics.Proficiency in Python (Jupyter Notebooks) and libraries such as NumPy, Pandas, SciPy, SymPy, scikit‐learn, TensorFlow, or PyTorch.Bachelor's degree in Data Science, Statistics, Computer Science, or a related field from the U.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 inferenceExcellent verbal and written communication skills.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 via Stripe Connect for services renderedTerms: Flexible, based on location and expertise6. Application ProcessSubmit your resume or portfolio to begin.Complete a brief form outlining 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. xmcpwfu