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Data Scientist
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- Posted 22 hours ago
- Be among the first 20 applicants
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:
Deep Learning, Machine Learning, Sql, Python, embeddings, knowledge graphs, Statistical Modeling, enterprise ontologies, vector databases, semantic models, RAG pipelines
Skills:
Amazon Web Services, Data Mining, Tensorflow, Machine Learning Algorithms, Predictive Analytics, Python, Java, Hibernate, Hadoop, Big Data, Clustering, Spring, Ms Azure, Jenkins, DataBricks, Git, Azure Data Factory, Hive, Pytorch, Spark, Keras, multivariate testing, MLLib, HDInsight, Deep Neural Networks, Map-Reduce, Classification, HDFS, Regression, Statistical Modeling
Skills:
Tensorflow, Numpy, Git, Pandas, Pytorch, MLops, Azure Machine Learning, Python, Azure ML Studio, Scikit-learn, CI CD
Skills:
cdisc standards , Ml, Advanced Analytics, SAS, Sql, Predictive Modeling, Python, quantitative methods, longitudinal analysis, Simulation, Ai, uncertainty communication, R, Statistics, survival methods, causal reasoning
Skills:
visualisation , Pyspark, C++, Sql, Databricks, Python, Big data systems, Control Systems, Machine learning models, Analytics, Embedded Systems, Deep learning algorithms