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Senior Data Scientist II

Datum Software, Inc.

Remote • 22d ago

Easy Apply

Contract

60 - 75

Data Scientist II

VTG

Chantilly, Virginia • Today

Full-time

USD 105,000.00 - 205,000.00 per year

Data Scientist II

Parsons Services Company

Washington, District of Columbia • Today

Full-time

USD 88,400.00 - 154,700.00 per year

Senior Data Scientist II

Datum Software, Inc.

Remote • 21d ago

Easy Apply

Contract

Depends on Experience

Mid Level Data Scientist

Redhorse Corporation

Washington, District of Columbia • Today

Full-time

Data Scientist II - GEOINT/Remote Sensing

The Pacific Northwest National Laboratory

Remote or Richland, Washington • Today

Full-time

USD 114,000.00 per year

Mid-Level Data Scientist

Akima, LLC

Indian Head, Maryland • Today

Full-time

USD 130,000.00 - 155,000.00 per year

Data Scientist mid-level TS/SCI CI poly

Tenica Global Solutions

Chantilly, Virginia • Today

Full-time

Principal II Data Scientist

Premier, Inc.

Remote • Today

Full-time

USD 141,000.00 - 234,000.00 per year

Sr Generative AI Scientist II - (Model Risk)

Cotiviti

Remote • Today

Full-time

USD 153,000.00 - 180,000.00 per year

Software Engineer II, Data Analytics & Engineering

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 123,696.00 - 254,667.00 per year

Manager II, Engineering- Analytics Engineering, Core Data Science

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 177,185.00 - 364,795.00 per year

Application Developer II

Key Logic

Sterling, Virginia • Today

Full-time

USD 87,000.00 - 95,000.00 per year

Data Scientist

SteerBridge

Vienna, Virginia • Today

Full-time

USD 137,000.00 - 155,000.00 per year

Software Engineer II - Top Secret

Microsoft Corporation

Reston, Virginia • Today

Full-time

USD 102,100.00 - 202,200.00 per year

ML Engineer II

Press Ganey Associates Inc

Remote • Today

Full-time

USD 110,000.00 - 130,000.00 per year

Data Scientist II

Toast

Remote • Today

Full-time

USD 112,000.00 - 179,000.00 per year

Senior Data Engineer II

Samsara

Remote • Today

Full-time

USD 134,470.00 - 203,400.00 per year

Senior Generative AI Scientist II

Cotiviti

Remote • Today

Full-time

USD 153,000.00 - 180,000.00 per year

Machine Learning Software Engineer II

Cambium Learning Group, Inc.

Remote or Dallas, Texas • Today

Full-time

Data Scientist II, Outcomes Research

Tempus

Remote or California • Today

Full-time

USD 90,000.00 - 135,000.00 per year

Mid-Level Data Scientist

Leidos

Springfield, Virginia • Today

Full-time

USD 73,450.00 - 132,775.00 per year

Job Details

Skills

Transformer
Natural Language Processing
Performance Metrics
Python
Recovery
Machine Learning (ML)
Mandarin Chinese
PyTorch
Regression Testing
JSON
Large Language Models (LLMs)
Legal
Linux
Documentation
Editorial
Evaluation
Extraction
GPU
Git
Data Processing
Data Science
Debugging
Design Of Experiments
Caching
Collaboration
Computer Science
Data Engineering
Amazon EC2
Amazon S3
Amazon Web Services
Artificial Intelligence
XML
scikit-learn
Mathematics
SQL
Statistics
Training
Workflow
Writing

Transformer
Natural Language Processing
Performance Metrics
Python
Recovery
Machine Learning (ML)
Mandarin Chinese
PyTorch
Regression Testing
JSON
Large Language Models (LLMs)
Legal
Linux
Documentation
Editorial
Evaluation
Extraction
GPU
Git
Data Processing
Data Science
Debugging
Design Of Experiments
Caching
Collaboration
Computer Science
Data Engineering
Amazon EC2
Amazon S3
Amazon Web Services
Artificial Intelligence
XML
scikit-learn
Mathematics
SQL
Statistics
Training
Workflow
Writing

Summary

Job Details:

Job Title: Senior Data Scientist II

Duration: Long-Term Contract

Location: Raleigh, NC || Onsite / Remote (EST Only)

Note: Preference will be given to candidates with Mandarin language proficiency.

Job Description:

Position Summary

Legal & Professional is seeking a hands-on Data Scientist to develop and evaluate AI solutions for legal content workflows.
The role focuses on large language models, natural language processing, and reliable data pipelines.
Experience with traditional machine learning is a strong plus.
The successful candidate will collaborate with engineers, product stakeholders, and legal subject matter experts to translate business requirements and editorial feedback into measurable improvements.
This role requires strong Python skills, sound experimental judgment, and the ability to independently investigate issues and deliver working solutions.

Key Responsibilities

Develop and improve LLM-based workflows for information extraction, classification, legal summarization, and content generation.
Design and evaluate prompts, retrieval-augmented generation (RAG), and multi-step agent workflows.
Build reliable data-preparation pipelines, including parsing, transformation, validation, caching, and recovery from interrupted processing.
Create representative evaluation datasets and conduct controlled experiments, error analysis, and regression testing.
Work with subject matter experts to assess factual accuracy, completeness, source support, and consistency, and translate feedback into generalizable improvements.
Diagnose problems across data, retrieval, model behavior, and application logic.
Balance output quality, latency, and cost when comparing technical approaches.
Maintain tested, version-controlled code and clear documentation to support reproducibility and team handoffs.

Required Qualifications

Bachelor’s degree or higher in computer science, Data Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
At least 3 years of relevant experience in data science, machine learning, or NLP, including hands-on experience developing LLM-based applications.
Strong Python programming skills and experience with SQL and structured or semi-structured data, such as JSON and XML.
Practical experience with prompt design, structured outputs, retrieval, and systematic LLM evaluation.
Understanding of statistical evaluation, train/validation/test separation, data leakage, and appropriate performance metrics.
Experience using Git, debugging existing code, and writing automated tests.
Ability to communicate findings clearly, incorporate feedback, and proactively raise delivery risks.

Preferred Qualifications

Experience with traditional machine learning, including feature engineering, classification, tree-based models, and imbalanced datasets.
Familiarity with scikit-learn, PyTorch, or comparable frameworks.
Experience fine-tuning transformer models for classification, information extraction, or sequence labeling.
Familiarity with AWS, particularly S3 and EC2, and Linux or GPU-based training environments.
Experience with legal documents, editorial workflows, or other accuracy-sensitive domains.

What are the top 3 must-have skills?

Applied LLM development: demonstrated experience building and evaluating workflows involving prompts, retrieval, and structured generation.
Python and data engineering: ability to independently build, debug, and maintain reliable data-processing and model-integration code.
Experimental design and evaluation: ability to compare baselines, analyze errors, validate improvements, and communicate actionable findings.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 70000132
Position Id: 26-01952
Posted 22 days ago

Fitment

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Contact the job poster

Vivek Singh

Recruiter @ Datum Software, Inc.

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Job Details

Skills

Transformer
Natural Language Processing
Performance Metrics
Python
Recovery
Machine Learning (ML)
Mandarin Chinese
PyTorch
Regression Testing
JSON
Large Language Models (LLMs)
Legal
Linux
Documentation
Editorial
Evaluation
Extraction
GPU
Git
Data Processing
Data Science
Debugging
Design Of Experiments
Caching
Collaboration
Computer Science
Data Engineering
Amazon EC2
Amazon S3
Amazon Web Services
Artificial Intelligence
XML
scikit-learn
Mathematics
SQL
Statistics
Training
Workflow
Writing

Transformer
Natural Language Processing
Performance Metrics
Python
Recovery
Machine Learning (ML)
Mandarin Chinese
PyTorch
Regression Testing
JSON
Large Language Models (LLMs)
Legal
Linux
Documentation
Editorial
Evaluation
Extraction
GPU
Git
Data Processing
Data Science
Debugging
Design Of Experiments
Caching
Collaboration
Computer Science
Data Engineering
Amazon EC2
Amazon S3
Amazon Web Services
Artificial Intelligence
XML
scikit-learn
Mathematics
SQL
Statistics
Training
Workflow
Writing

Summary

Job Details:

Job Title: Senior Data Scientist II

Duration: Long-Term Contract

Location: Raleigh, NC || Onsite / Remote (EST Only)

Note: Preference will be given to candidates with Mandarin language proficiency.

Job Description:

Position Summary

Legal & Professional is seeking a hands-on Data Scientist to develop and evaluate AI solutions for legal content workflows.
The role focuses on large language models, natural language processing, and reliable data pipelines.
Experience with traditional machine learning is a strong plus.
The successful candidate will collaborate with engineers, product stakeholders, and legal subject matter experts to translate business requirements and editorial feedback into measurable improvements.
This role requires strong Python skills, sound experimental judgment, and the ability to independently investigate issues and deliver working solutions.

Key Responsibilities

Develop and improve LLM-based workflows for information extraction, classification, legal summarization, and content generation.
Design and evaluate prompts, retrieval-augmented generation (RAG), and multi-step agent workflows.
Build reliable data-preparation pipelines, including parsing, transformation, validation, caching, and recovery from interrupted processing.
Create representative evaluation datasets and conduct controlled experiments, error analysis, and regression testing.
Work with subject matter experts to assess factual accuracy, completeness, source support, and consistency, and translate feedback into generalizable improvements.
Diagnose problems across data, retrieval, model behavior, and application logic.
Balance output quality, latency, and cost when comparing technical approaches.
Maintain tested, version-controlled code and clear documentation to support reproducibility and team handoffs.

Required Qualifications

Bachelor’s degree or higher in computer science, Data Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
At least 3 years of relevant experience in data science, machine learning, or NLP, including hands-on experience developing LLM-based applications.
Strong Python programming skills and experience with SQL and structured or semi-structured data, such as JSON and XML.
Practical experience with prompt design, structured outputs, retrieval, and systematic LLM evaluation.
Understanding of statistical evaluation, train/validation/test separation, data leakage, and appropriate performance metrics.
Experience using Git, debugging existing code, and writing automated tests.
Ability to communicate findings clearly, incorporate feedback, and proactively raise delivery risks.

Preferred Qualifications

Experience with traditional machine learning, including feature engineering, classification, tree-based models, and imbalanced datasets.
Familiarity with scikit-learn, PyTorch, or comparable frameworks.
Experience fine-tuning transformer models for classification, information extraction, or sequence labeling.
Familiarity with AWS, particularly S3 and EC2, and Linux or GPU-based training environments.
Experience with legal documents, editorial workflows, or other accuracy-sensitive domains.

What are the top 3 must-have skills?

Applied LLM development: demonstrated experience building and evaluating workflows involving prompts, retrieval, and structured generation.
Python and data engineering: ability to independently build, debug, and maintain reliable data-processing and model-integration code.
Experimental design and evaluation: ability to compare baselines, analyze errors, validate improvements, and communicate actionable findings.

Dice Id: 70000132
Position Id: 26-01952
Posted 22 days ago

Fitment