Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Insurance, Healthcare, SoftwareIndustries
Requirements
- Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 8+ years of professional data science experience building health insurance underwriting or care management solutions
- OR
- Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3+ years of professional data science experience building health insurance underwriting or care management solutions
- Advanced proficiency in Python and its core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, LightGBM, etc.)
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, and an understanding of modern architectures (e.g., Transformers, Neural Networks, LLMs)
- Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines
- Proficiency analyzing and building model utilizing health insurance claims data, electronic medical records, or similar patient health and prescription data
- Fluency in SQL, Relational databases, and Databricks
- Fluency in AWS or similar Cloud computing environment
Responsibilities
- Design, develop, and implement predictive models for underwriting and patient care management, utilizing machine learning and deep learning techniques
- Analyze large datasets to identify trends, patterns, and anomalies that can inform underwriting decisions and enhance patient care strategies
- Work closely with cross-functional teams, including product management, data engineering, software engineering, actuarial consulting, clinical, and IT, to understand business needs and translate them into data-driven solutions
- Stay current with industry trends, emerging technologies, and best practices in data science and health insurance. Propose innovative solutions to enhance underwriting processes and patient care management
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote?
Yes, this is a fully remote opportunity.
What are the salary and benefits for this role?
This information is not specified in the job description.
What skills are required for the Senior Data Scientist role?
Advanced proficiency in Python and its core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, LightGBM), hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, and strong technical communication and collaboration skills are required.
What is the company culture like at Gradient AI?
The role involves working closely with a talented and supportive team in a collaborative and fast-moving environment.
What experience makes a strong candidate for this position?
Candidates need a Bachelor's degree with 8+ years or a Master’s/Ph.D. with 3+ years of professional data science experience building health insurance underwriting or care management solutions.
Gradient
Energy-efficient window ACs and heat pumps
About Gradient
Gradient Comfort creates energy-efficient window air conditioners that also function as heat pumps, providing both cooling and heating without obstructing views. Their products use R-32 refrigerant, which is more environmentally friendly than traditional options, making them appealing to eco-conscious consumers, especially in regions with strict emissions regulations like New York. Unlike competitors, Gradient Comfort sells directly to consumers through its website, fostering a closer relationship with customers. The company's goal is to lead in clean energy innovation and support decarbonization efforts in home climate control.
San Francisco, CaliforniaHeadquarters
2017Year Founded
$32.1MTotal Funding
SERIES_ACompany Stage
Energy, Consumer GoodsIndustries
51-200Employees
Benefits
Equity
Medical/vision/dental/life/disability insurance
401k
Paid parental leave
Commuter benefits
Unlimited PTO within reason
Relocation package ( out of state applicants only )
Risks
Increased competition from established HVAC companies could challenge Gradient's market share.
Supply chain disruptions in the semiconductor industry may impact heat pump production.
Economic downturns could reduce consumer spending on Gradient's premium products.
Differentiation
Gradient's heat pumps use R-32 refrigerant, reducing environmental impact compared to HFCs.
The company's window-mounted design offers unobstructed views, ideal for urban living.
Gradient partners with NYC Housing Authority, showcasing commitment to community-focused solutions.
Upsides
Gradient received a $17.5 million grant to establish a Michigan manufacturing plant.
The Inflation Reduction Act incentives could boost sales of Gradient's heat pumps.
Growing eco-conscious consumerism supports Gradient's positioning as a green technology leader.
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