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Exceptional Data Scientists
Hourly Contract | Part-Time Remote | $60–$100 per hour
1. About the Role
Mercor 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 Responsibilities
3. Ideal Qualifications
4. More About the Opportunity
5. Compensation & Contract Terms
6. Application Process
PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.
Job ID: 148982899
Skills:
Hadoop, Pyspark, Hive, Databricks, Python, LangChain, GenAI, Google Gemini, data visualization tools, Azure AI Foundry, vector indexes, AI models and algorithms, R, LlamaIndex
Skills:
Azure, Sql, AWS, Statistical Modelling, Python, Gcp, ML algorithms
Skills:
Matplotlib, Tableau, Sql, Tensorflow, Nosql, Numpy, Nltk, Pandas, Pytorch, Seaborn, Keras, Python, Gensim, Scikit-learn, GPT, R, BERT, SpaCy
Skills:
Machine Learning, Version Control, Unit Testing, XGBoost, Python, software engineering best practices, scikit-learn, reinforcement learning, causal inference techniques, Packaging, contextual multi-armed bandits, quasi-experimental methods, uplift modeling, modular code, counterfactual analysis
Skills:
.NET, bedrock , S3, Tensorflow, Lambda, Pytorch, Javascript, XGBoost, Python, AWS, Redshift, Sql, ECS, Machine Learning, Databricks, LangChain, Generative AI, LightGBM, Scikit-learn, EKS, SageMaker, Large Language Model, Athena, LlamaIndex