Data Scientist III

Job not on LinkedIn

🔥 22 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SGS

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1878

💼 Consulting

🏥 Healthcare

🍽️ Food & Beverage

Consulting • Healthcare • Food & Beverage

SGS is the world's leading Testing, Inspection, and Certification (TIC) company, providing a comprehensive range of services designed to assure quality and integrity across various sectors. SGS is focused on sustainability, offering climate action services and an all-encompassing ESG portfolio under its IMPACT NOW suite. The company has ambitious targets for growth by 2027, driven by its strategy to address global megatrends. SGS operates globally, providing business assurance, connectivity and products, digital trust, health and nutrition, and solutions for industries and the environment.

📋 Description

• Lead development of statistical, machine learning, and, when prioritized, AI models supporting TTA reporting, trend analysis, and actionable insights • Ensure each AI use case is appropriately documented and explainable • Define expected outcomes, baselines, experimental designs, and validation approaches before deployment • Establish methods for evaluating uncertainty and monitoring model performance • Develop and maintain appropriate model documentation • Partner with the Senior Data Analyst on data definitions, data quality, and responsible interpretation of analytical results • Communicate analytical findings and their implications clearly to program leaders • Prototype and productionize approved analytical and modeling approaches in collaboration with engineering and security team members • Develop and apply tests addressing data leakage, bias, privacy, and performance • Promote reproducibility and appropriate validation throughout the analytics and modeling lifecycle

🎯 Requirements

• Seven (7) or more years of experience in applied statistics or data science, including experience with production machine learning or advanced analytics and model validation • Bachelor's degree in statistics, data science, computer science, or a related quantitative field, or equivalent demonstrated experience • Strong experience with statistical modeling and regression • Experience designing and evaluating experiments • Experience with optimization methods • Proficiency with Python or R • Experience working with cloud data warehouses • Experience working with distributed data • Demonstrated experience with analytical and model validation • Experience developing reproducible analytical processes • U.S. citizenship required • Ability to obtain and maintain a Public Trust clearance and obtain a Personal Identity Verification (PIV) card • Preferred: advanced degree in statistics, data science, computer science, or another related quantitative field • Preferred: experience evaluating human-services programs • Preferred: experience with responsible AI governance • Preferred: experience applying Natural Language Processing (NLP) to narrative reports • Preferred: experience with operational machine learning monitoring

🏖️ Benefits

• Occasional travel may be required • Equal Employment Opportunity protections