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Data science Jobs in Hartford, CT
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Data science • hartford ct
Data Science Advisor (AI / ML) - Work at Home
The Cigna GroupBloomfield, CTSpecial Education Teacher in STEM / Math / Science
Community Child Guidance Clinic, IncManchester, CT, United States- Promoted
Assistant Professor of Natural Science
Goodwin UniversityEast Hartford, CT, US- Promoted
Mathematics and Computer Science, Adjunct Faculty
University of Saint JosephWest Hartford, CT, US- Promoted
Manager, Data Science
Webster BankHartford, CT, United States- Promoted
Director, Data Science, Product Management
The HartfordHartford, CT, United States- Promoted
Manager, Data Analyst (Data Management)
The Travelers Indemnity CompanyHartford, CT, US- Promoted
CERTIFIED HIGH SCHOOL SCIENCE TEACHER
Our Piece of the Pie, IncHartford, CT, US- Promoted
Fire Science Instructor
San Juan CollegeFarmington, CT, USMarketing Data Science Manager
Empower RetirementCT Hartford- Promoted
Director, Data Science, Product Management
The Hartford Financial Services Group, Inc.Hartford, CT, USSr. Data Engineer, Data Science Team
The Hartford Financial Services Group, IncHartford, CT, United States- Promoted
Science Teacher
Avon Board of EducationAvon, CT, US- Promoted
Director, Decision Science - Marketing PI
My Next StageHartford, CT, United StatesScience and Technology Planner
The S / L / A / M CollaborativeGlastonbury, CT- Promoted
Special Education Teacher in STEM / Math / Science
Community Child Guidance ClinicManchester, CT, United States- Promoted
Data Science Manager
VirtualVocationsHartford, Connecticut, United StatesDirector, Data Science
TravelersHartford,CTDirector, Data Science
020 Travelers Indemnity CoTower,Hartford- Promoted
Data Analyst Lead - Data Privacy
Infosys Limited DigitalHartford, CT, USThe average salary range is between $ 105,150 and $ 185,250 year , with the average salary hovering around $ 130,000 year .
- psychiatrist (from $ 200,000 to $ 300,000 year)
- chief medical officer (from $ 237,500 to $ 250,000 year)
- independent contractor (from $ 75,563 to $ 225,000 year)
- principal software engineer (from $ 150,600 to $ 219,381 year)
- software architect (from $ 129,188 to $ 216,300 year)
- federal (from $ 78,804 to $ 212,575 year)
- technical program manager (from $ 158,800 to $ 211,400 year)
- machine learning (from $ 127,850 to $ 211,350 year)
- machine learning engineer (from $ 128,250 to $ 211,350 year)
- software engineering manager (from $ 153,100 to $ 211,350 year)
- Cambridge, MA (from $ 83,200 to $ 240,000 year)
- Bellevue, WA (from $ 108,000 to $ 228,325 year)
- Vancouver, WA (from $ 77,081 to $ 228,000 year)
- Fremont, CA (from $ 136,510 to $ 226,500 year)
- Milwaukee, WI (from $ 143,360 to $ 224,770 year)
- Sunnyvale, CA (from $ 165,000 to $ 222,000 year)
- San Francisco, CA (from $ 117,549 to $ 220,136 year)
- San Mateo, CA (from $ 114,445 to $ 218,207 year)
- San Jose, CA (from $ 111,734 to $ 217,850 year)
- San Bernardino, CA (from $ 112,882 to $ 216,713 year)
The average salary range is between $ 89,553 and $ 190,812 year , with the average salary hovering around $ 132,925 year .
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Data Science Advisor (AI / ML) - Work at Home
The Cigna GroupBloomfield, CT- Full-time
- Remote
Summary
Using your knowledge of ML / AI you will build technologies to determine when a customer might be at risk and what actions can be taken to help improve health trajectories. Your work will require deep acquaintance with our data, seeking to find ways to deliver value through advanced feature engineering. From your models you will deliver actionable insights that can be incorporated into existing wellness products as well as new programs. In addition to collaborating with Data Science Management to establish strategic priorities, you will work closely with Data & Engineering to deliver code that is robust and ready to scale.
The ideal candidate for this role will have strong coding skills (preferably in Python), a passion for creating technology to improve health care, and an attitude of creativity and continual learning.
Responsibilities
Create models using ML / AI techniques to predict risk and identify actionable insights
Deliver clean, reusable, and scalable code
Work closely with Data & Engineering to deploy models
Provide thought leadership on latest analytic techniques, technologies and methods
Qualifications
Experience with leading ML / AI methods; XGBoost, deep learning, linear regression, supervised and unsupervised learning techniques and reinforcement learning; optimization required
Experience with Python and its data science libraries such as Scikit-learn, Pandas, Numpy required
Excellent oral and written communication skills
MS in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience