Senior Data Scientist

Enlyte; United States; On-site; USD 85,000 - 125,000; Full time

Job summary

Enlyte, via Mitchell, seeks an experienced Data Scientist to discover AI/ML opportunities across our product portfolio and guide product managers and engineers to realize value from AI/ML solutions.

You will design and optimize prompts for large language models, build and deploy ML models in production, and collaborate across functions to translate business problems into scalable technical solutions while staying current with the latest research.

Qualifications

• MS/PhD in Math/Statistics/CS with 6+ (MS) / 3+ (PhD) years of experience.
• 1+ years building, deploying and maintaining ML models in production.
• Experience with data warehouse, feature engineering, ML pipelines, and monitoring.
• Strong understanding of ML algorithms and practical explanations.

Responsibilities

• Drive discovery of AI/ML opportunities across the product portfolio.
• Design prompts and optimize prompts for large language models.
• Build, evaluate, and deploy ML models in production.
• Collaborate with product managers, engineers, and domain experts.
• Define best practices for ML pipelines, monitoring, and scalable deployment.
• Communicate findings to technical and non-technical stakeholders.

Skills

Python

Machine Learning

SQL

Deep Learning

Feature Engineering

Data Warehousing

Model Monitoring

Communication

Experimentation

Education

MS/PhD in Math/Statistics/CS

Tools

AWS SageMaker

Job description

Company Overview

At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

Be part of a team that makes a real difference.

Job Description

Mitchell, an Enlyte company, is seeking an experienced Data Scientist to help us discover opportunities to drive customer and business value by leveraging AI/ML technology including generative AI and large language models, and guide product managers and engineers to realize the solutions within our broad range of products.

• Drive discovery of AI/ML opportunities across product portfolio and guide implementation.
• Design and optimize prompts for large language models to support generative AI features.
• Build, evaluate, and deploy machine learning models in production environments.
• Collaborate with product managers, engineers, and domain experts to translate business problems into technical solutions.
• Define best practices for ML pipeline automation, model monitoring, and scalable deployment.
• Communicate findings and recommendations to technical and non-technical stakeholders.

The successful candidate will be a self-starter, capable of driving the discovery process to tackle ambiguous problems alongside subject matter experts across business functions with minimal direction. This candidate will:

• Have excellent analytical skills and in-depth knowledge of machine learning methodologies, data and feature engineering.
• Be capable of providing insights to the engineering team in building scalable ML pipeline automation and defining best practices.
• Be an excellent communicator, capable of presenting findings to non-technical audiences and enjoy giving talks to expand the overall AI/ML knowledge of our organization.
• Demonstrate commitment to staying current with the latest research (through papers, public codebases, and blogs).

Qualifications

• MS/PhD in appropriate field (e.g. Math/Statistics/Computer Science) with 6+ (MS) / 3+ (PhD) years of professional experience in machine learning projects.
• 1+ years of experience in building, deploying and maintaining machine learning models on production environment.
• Experience in machine learning projects involving data warehouse, feature engineering, ML pipeline automation and ML monitoring.
• Excellent understanding of many machine learning algorithms/techniques/tools, capable of explaining the underlying concepts and principles.
• High proficiency with Python programming language.
• High proficiency with SQL.
• Good understanding of data warehousing and ETL techniques.
• Excellent written and verbal communication skills with the ability to educate and influence.
• High level of initiative and passion to deliver results.
• Experience with AWS Sagemaker is a plus.

Benefits

We're committed to supporting your ultimate well-being through our total compensation package offerings that support your health, wealth and self. These offerings include Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $85,000 - $125,000 annually, and will be based on a number of additional factors including skills, experience, and education.

The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Don't meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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