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Eis group usa is a leading provider of innovative technology solutions for the insurance industry. As a full-service company, we offer a wide range of products and services to help insurance companies streamline their processes and improve their bottom line. We pride ourselves on our commitment to excellence and our dedication to providing exceptional customer service.
Staff Applied Scientist
Location
United States
Posted
97 days ago
Salary
0
Job Description
Staff Applied Scientist
Eis group usa
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Staff Applied Scientist is a senior technical expert responsible for applying advanced scientific, statistical, and machine learning techniques to solve complex business and technology challenges. This role focuses on designing scalable models, conducting advanced data analysis, and translating research into production-ready solutions that deliver measurable value. The Staff Applied Scientist collaborates closely with engineering, product management, analytics, and leadership teams to drive innovation and implement cutting-edge data-driven solutions. This is a fully remote position; however, applicants must currently reside in the United States and be legally authorized to work in the U.S. Applications from individuals residing outside the United States will not be considered. - Design, develop, and implement advanced machine learning and statistical models - Conduct research and experimentation to improve predictive accuracy and system performance - Translate complex business challenges into scalable data science solutions - Work with engineering teams to deploy models into production environments - Analyze large and complex datasets to extract meaningful insights - Develop prototypes and proof-of-concept solutions for new initiatives - Mentor data scientists and contribute to technical best practices - Present research findings and technical insights to leadership and stakeholders - Maintain documentation for models, algorithms, and data pipelines - Stay current with emerging technologies and research in applied science, AI, and machine learning Qualifications - Ph.D. or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related quantitative field - 7–10 years of experience in applied science, machine learning, or data science roles - Strong programming experience in languages such as Python, R, or Java - Expertise in machine learning algorithms, statistical modeling, and data analysis - Experience working with large-scale datasets and distributed computing frameworks - Strong problem-solving and analytical skills - Excellent communication skills with the ability to explain complex technical concepts - Ability to collaborate with cross-functional teams in a remote environment Requirements - Experience deploying machine learning models into production environments - Experience with cloud-based platforms and scalable data pipelines - Experience mentoring or leading data science teams - Published research in machine learning, artificial intelligence, or data science - Experience working in technology, fintech, healthcare, or e-commerce industries Compensation - Annual Salary Range: $170,000 – $220,000 USD, depending on experience, technical expertise, and leadership scope - Performance-based bonuses and potential equity participation may be available Benefits - Comprehensive medical, dental, and vision insurance - 401(k) retirement plan with employer matching - Paid time off (PTO) including vacation, holidays, and sick leave - Life insurance and disability coverage - Flexible remote work environment - Professional development and research opportunities - Conference attendance and continued education support - Employee wellness and assistance programs - Potential equity or performance bonuses Work Authorization Requirement - Must currently reside in the United States - Must be legally authorized to work in the United States - Applications from individuals residing outside the U.S. will not be considered
Job Requirements
- Ph.D. or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related quantitative field
- 7–10 years of experience in applied science, machine learning, or data science roles
- Strong programming experience in languages such as Python, R, or Java
- Expertise in machine learning algorithms, statistical modeling, and data analysis
- Experience working with large-scale datasets and distributed computing frameworks
- Strong problem-solving and analytical skills
- Excellent communication skills with the ability to explain complex technical concepts
- Ability to collaborate with cross-functional teams in a remote environment
- Experience deploying machine learning models into production environments
- Experience with cloud-based platforms and scalable data pipelines
- Experience mentoring or leading data science teams
- Published research in machine learning, artificial intelligence, or data science
- Experience working in technology, fintech, healthcare, or e-commerce industries
- Compensation
- Annual Salary Range: $170,000 – $220,000 USD, depending on experience, technical expertise, and leadership scope
- Performance-based bonuses and potential equity participation may be available
Benefits
- Comprehensive medical, dental, and vision insurance
- 401(k) retirement plan with employer matching
- Paid time off (PTO) including vacation, holidays, and sick leave
- Life insurance and disability coverage
- Flexible remote work environment
- Professional development and research opportunities
- Conference attendance and continued education support
- Employee wellness and assistance programs
- Potential equity or performance bonuses
- Work Authorization Requirement
- Must currently reside in the United States
- Must be legally authorized to work in the United States
- Applications from individuals residing outside the U.S. will not be considered
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