Data Scientist

US Tech Solutions; Bellevue (WA); On-site; Full time

Job summary

A leading company in technology is seeking a Data Quality Scientist to enhance AI models' STEM reasoning. This role focuses on evaluating STEM content quality, requiring strong analytical skills and a degree in a related field. Join us to influence the development of next-generation AI STEM assistants.

Qualifications

• 2+ years of experience with data querying and scripting languages.
• Strong programming skills in Python with data analysis libraries.
• Experience in machine learning and statistical modeling.

Responsibilities

• Evaluate and analyze quality of STEM content across various sub-domains.
• Benchmark model performance based on human ground truth.
• Conduct in-depth analysis of human audit data for improvement.

Skills

Data querying languages

Scripting languages

Statistical analysis

Analytical skills

Problem-solving skills

Education

Bachelor's or Master's degree in Data Science

Degree in Computer Science

Degree in Mathematics

Tools

Python

SQL

NumPy

Pandas

SciPy

Job description

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This range is provided by US Tech Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$52.00/hr - $57.00/hr

Duration: 9 months of contract

Job Description:

• As a Data Quality Scientist in domain STEM, you will play a crucial role in evaluation and enhancement of our AI models' STEM reasoning, ensuring precision and reliability in AI-generated STEM content.
• This role requires a unique blend of technical expertise, critical thinking, and communication skills.
• You will be the bridge between advanced AI technology and practical, real-world applications. Your work will directly influence the development of next-generation AI STEM assistants.
• If you're passionate about data quality, have a keen eye for detail, and are excited about the potential of AI in STEM domain, we encourage you to apply for this pivotal role at AGI Data Services.

Key Responsibilities:

• Evaluate and analyze quality of STEM content across various sub-domains (mathematics, biology, physics, chemistry, etc.)
• Benchmark model performance based on human ground truth
• Partner with AI researchers to identify optimization opportunities and enhance model accuracy
• Conduct in-depth analysis of human audit data to identify patterns and areas for improvement

Required Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, STEM, Mathematics, or related field
• 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) experience
• 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Strong programming skills in Python, with experience in data analysis libraries (NumPy, Pandas, SciPy)
• Proven experience in statistical analysis
• Strong analytical and problem-solving skills

Preferred Qualifications:

• Experience with AI/ML systems evaluation, particularly in STEM applications
• 2+ years of data scientist experience
• 2+ years of experience in machine learning model development and implementation
• Understanding of machine learning concepts, particularly as they apply to natural language processing and image processing
• Deep understanding one of STEM domains and has background in STEM domain
• Experience with deep learning framework (PyTorch)
• Experience with version control systems (e.g., Git) and data visualization tools

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

"U.S. Tech Solutions, Inc. is an Affirmative Action, Equal Opportunity Employer. Our employment decisions are made without regard to race, color, religion, gender, national origin, age, disability, marital status, veteran or military status, or any other legally protected status."

Recruiter's Details:

Internal ID: 25-38967

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Contract

Job function

• Job function

  Science, Engineering, and Quality Assurance

• Industries

  Technology, Information and Media, Data Infrastructure and Analytics, and Retail

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