Senior Data Scientist
Job Description
Data Scientist
Position: Data Scientist
Type:Contractor
Compensation:$150–$200/hour
Location:Remote
About the Opportunity
We are seeking Data Scientists and Quantitative Professionals with experience at leading organizations to support an AI research project. You'll evaluate AI model performance across statistics, machine learning, experimentation, and quantitative reasoning to help improve model accuracy and analytical capabilities.
Key Responsibilities
- Evaluate AI-generated outputs involving data science, statistics, machine learning, and quantitative problems.
- Create challenging prompts, datasets, and reference solutions.
- Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
- Assess data analysis, experimentation approaches, and data modeling techniques.
- Provide structured, actionable feedback to improve AI model performance.
Required Qualifications
- At least 1 year of experience at a leading company in technology, finance, research, or a related field, with some experience within the past 3 years.
- Strong understanding of Python, statistics, machine learning, and data analysis.
- Experience with Pandas, data modeling, and experimentation.
- Strong analytical and quantitative reasoning skills.
- Ability to communicate technical and statistical concepts clearly in writing.
- Based in an English-speaking country.
Preferred Qualifications
- Experience evaluating statistical models, machine learning outputs, or quantitative methods.
- Strong knowledge of experimental design, data interpretation, and methodological validation.
- Ability to develop rigorous datasets and reference solutions for complex analytical problems.
Compensation
- $150–$200/hour.
- Independent contractor engagement.
- Fully remote work.
- Approximately 100 openings available.
Application Process
- Submit your application with relevant data science or quantitative experience.
- Complete any required screening or technical evaluation.
- Demonstrate your statistical reasoning and analytical skills.
- Begin evaluating AI outputs and developing data science tasks if selected.
More Info
About Company
Skills:
data wrangling , Ml, Data Analytics, Optimization Algorithms, Python, data ML libraries, Ai, cleaning and validation, modern AI
Skills:
snowflake , Hadoop, Sql, Mapreduce, Gcp, Data Integration, Azure, Python, AWS, data quality checks, data observability, Flink, R, large-scale data processing, ETL processes, Reconciliations
Skills:
Model Context Protocol (MCP), Typescript, Pytorch, Python, AWS, Java, Scala, Clustering, Sql, Gcp, Azure, Secure cloud deployment, Advanced experiment design, Traditional ML, Optimization, Feature engineering, Forecasting, Validation, Cost management, Regression, Gradient-boosted trees, anomaly detection, GPU model serving, Causal methods, LLM applications, Responsible AI, Structured evaluation and monitoring of LLM systems
Skills:
Retrieval-Augmented Generation (RAG), Statistical Analysis, Sql, Python, ML Operations, Generative AI, Metadata filters, Vector databases, Chunking, and pre-processing, Embeddings, R, LLM Operations, Data Collection, Fine-tuning, Data science pipelines, Cleaning
Skills:
snowflake , MLops, Databricks, Python, Sql, anomaly detection, Decision Intelligence, Time-Series Analysis