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At Home Data Scientist Risk Jobs in Connecticut (NOW HIRING)

STI

Data Scientist

Hartford, CT · On-site

Experience Required for This Role Data Research & Analysis - at least 3 years of measurable ... Science • Experience with machine learning, AI, and cognitive service engine models • ...

Guardianlife

Data Scientist, Agentic AI

Stamford, CT · Hybrid

$95K - $156K/yr

... risk management, and elevate customer experience. Guardian created theData Science Lab (DSL)to ... Location: * Three days a week at Guardian office in New York, NY, Bethlehem, PA, Holmdel, NJ ...

Gartner

Sr. Data Scientist

Stamford, CT

As a data scientist, you'll leverage advanced analytics and machine learning to create intelligent ... At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert ...

Berkley

Actuary/Data Scientist

Greenwich, CT

Provide support and guidance to others who are at earlier stages in their data science or AI journey. Qualifications Qualifications: 4-7 years of relevant actuarial, technical, or research experience.

ISO New England, Inc.

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

We are at the forefront of New England's ongoing transition to clean energy. New technologies and ... Experience working with big data, geospatial analytics, and/or probabilistic forecasting

Chubb

AVP, Lead Data Scientist

Simsbury, CT · On-site

As a Lead Data Scientist for NA PC Analytics, you will perform quantitative data analysis to enable ... At Chubb, we are committed to equal employment opportunity and compliance with all laws and ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application ... At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application ... At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert ...

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All JobsAt Home Data Scientist Risk JobsAt Home Data Scientist Risk Jobs in Connecticut

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are popular job titles related to At Home Data Scientist Risk jobs in Connecticut? For At Home Data Scientist Risk jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Connecticut look for? The top searched job categories for At Home Data Scientist Risk jobs in Connecticut are:
What cities in Connecticut are hiring for At Home Data Scientist Risk jobs? Cities in Connecticut with the most At Home Data Scientist Risk job openings:
At Home Data Scientist Risk jobs near you

Data Scientist

STI

Hartford, CT • On-site

Full-time

Posted 8 days ago

Job description

Experience Required for This Role
Data Research & Analysis - at least 3 years of measurable experience in the following:
• Analyzing data and customer metrics to fulfill specific business goals
• Using data to help teams improve functionality and operations
• Developing and applying data models to improve the collection and analysis of data
• Bridging the divide between technical and business teams through data
• Communicating data analysis to various levels of stakeholders through visualizations
• Data cleansing, optimizing, and ETL
• Developing and analyzing user surveys
• Expertise in the principles and operating procedures of a specific industry
• Performing competitor research to help improve products and services
• Researching latest market trends and implementing knowledge
• Creating dashboards and reports that are easy to understand for non-technical users
• Organizing and storing data and queries for easy access in future work projects
• Documenting data collection and analysis procedures
• Organizing focus groups and feedback loops to establish data collection
• Using data to isolate problems and develop solutions
• Discovering and establishing proper KPIs to help track success
• Preparing and executing ROI analysis
• Establishing testing of products/services based off data analysis
• Identifying and understanding issues through forecasting, gap analysis, quantitative reporting, research, and statistical analysis
• Providing insights and recommending changes based on data findings
Knowledge, Skills, and Ability
Data Science
• Experience with machine learning, AI, and cognitive service engine models
• Experience with programming languages like SQL, Python, R, and Scala
• Using analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
• Experience using business intelligence tools like Tableau or Power BI
• Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
• Engaging in data experiments to provide cross-persona or enterprise analysis
• Leveraging statistical analysis and algebra
• Improving research or data management environments
• Leveraging economics, business/systems analysis, and quality assurance
• Manipulating large, complex data sets
• Documenting processes and modelling
Performance in Complex Situations
• Communication and collaboration with cross-functional teams and state-wide partners
• Clearing challenges for team members
• Comfort in blazing a path through an ambiguous work environment
• Judgement fitting to the ever-changing environment
• Ability to juggle multiple project workstreams
Service Design Team Building
• Supporting teammates' skills and behavior development and delivery
• Advocating data strategies both internally and externally
• A balance between strong domain expertise and flexibility
• Prioritization, organization, and triage in an independent environment
• Encouraging of an interactive, cooperative, collaborative, and customer-focused work environment
• Ability to maintain strict confidentiality
• Judgement in dealing effectively and diplomatically with all levels of government staff
Preferred Skills & Qualifications
Other Desirable Skills
• Deep domain knowledge for a particular industry - especially Health, Business, or Education
• Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
• 2 years of user research and feedback analysis
• 2 years of data governance and working within data security groups
• 1 year of API development
• 1 year of marketing experience, supported through metrics
• 1 year of project management experience
• 1 year of experience with customer relationship management platforms such as Salesforce
• 1 year of experience with web content management platforms such as Sitecore

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