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Data Scientist
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Job Description
Data Scientist
Position:Data Scientist
Type:Contractor
Compensation:$245–$280/hour
Location:Remote
About the Opportunity
We are seeking experienced Data Scientists and Quantitative Professionals to support an AI project focused on improving how models handle statistics, machine learning, experimentation, and quantitative reasoning.
You'll evaluate AI-generated outputs, create expert-level data science tasks, and provide rigorous feedback to improve model performance.
Key Responsibilities
- Evaluate AI model outputs across data science, statistics, machine learning, and quantitative problems.
- Create expert-level prompts, datasets, and reference solutions.
- Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
- Provide structured, high-quality feedback to improve AI model capabilities.
- Apply strong analytical judgment when reviewing complex technical solutions.
Required Qualifications
- At least 1 year of experience at a top company in technology, finance, research, or a related field.
- Relevant experience within the past 7 years.
- Strong knowledge of Python, machine learning, statistics, data analysis, experimentation, pandas, and data modeling.
- Strong ability to evaluate quantitative reasoning and statistical methodology.
- Excellent written communication skills for explaining technical and statistical concepts.
- Based in an English-speaking country.
Preferred Qualifications
- Experience evaluating or reviewing complex data science or quantitative work.
- Strong ability to identify subtle methodological and statistical issues.
- Experience developing structured technical solutions, datasets, or analytical workflows.
Compensation
- Competitive compensation of $245–$280/hour.
- Independent contractor engagement.
- 100 positions available.
Application Process
- Submit your application and relevant experience.
- Complete any required screening or evaluation.
- Complete project onboarding and workflow guidelines training.
- Begin project work if selected.
More Info
About Company
Skills:
Matplotlib, Sql, Databricks, Unsupervised Learning, Deep Learning, Tableau, Pyspark, Power Bi, Gcp, Git, PostgreSQL, SQL Server, Seaborn, AWS, Oracle, Kubernetes, Python, Azure, Docker, Nlp, Spark, NoSQL Databases, Ensemble Models, Jupyter Notebook, supervised learning, Recommendation Systems, Time Series Forecasting, R
Skills:
Machine Learning, Tensorflow, Pytorch, LangChain, Handon Experience on LLMs and Gen AI Agentic AI, Big Data Technologies Spark, Scikit-learn, Statistics, CI CD automation for data pipelines, ETL ELT Tools ADF Databricks Snowflake pipelines, Programming Framework Python SQL, Cloud AWS S3
Skills:
Power Bi, Tableau, Data Modeling, Data Governance, Sql, Nosql, Data Integration, Machine Learning, MongoDB, Business intelligence dashboards, Onshape, Statistical methods, CAD data migration, Data quality standards, AI solutions
Skills:
Power Bi, Tableau, Sql, Numpy, Pandas, MLops, Predictive Modeling, Azure, Python, AWS, Statistical Analysis, scikit-learn, cloud platforms, Forecasting, data visualization tools, Optimization
Skills:
model selection , Nlp, Pyspark, Neural Networks, Python, Machine Learning, Google Cloud Platform, Classification, Data Text Mining, Big Data Platforms, Finetuning, Multi-modal Models, GPU/CPU Based Online Inferencing, LLM Gateways, Deep Neural Networks, Event Driven Architecture, Vector Databases, Optimization Methods, Embedding Generation, Model Deployment, Bayesian Models, Retrieval Augmented Generation, Prompt Engineering, Deep Learning Algorithms