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

Customer Operations

Data Scientist

Stamford, CT · On-site +1

At Spectrum, you'll use advanced statistical techniques and machine learning to develop impactful ... Eligible employees can work from home up to one day each week. How You'll Make an Impact

Munich Re

Data Scientist

Hartford, CT · On-site

Work closely with data engineering and infrastructure teams to deploy models and data products at scale. Education and Experience: * Bachelor's degree in Statistic, Computer Science, Engineering ...

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 • ...

Customer Operations

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Eligible employees can work from home up to one day each week. How You'll Make an Impact * Support ... Learn about Life at Spectrum. Qualifications: What You'll Bring to Spectrum Required Qualifications ...

Linde

Data Scientist

Danbury, CT · On-site

$119K - $132K/yr

Linde Inc. Data Scientist Danbury, CT, United States req32332 What you will enjoy doing ... At Linde, the sky is not the limit. If you're looking to build a career where your work reaches ...

New

Linde plc

Data Scientist

Danbury, CT · On-site

$119 - $132/hr

Write SQL queries to analyze data and support systemoperations, utilizing technologies, including ... At Linde, the sky is not the limit. If you're looking to build a career where your work reaches ...

Posted today

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

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

$86 - $146/hr

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

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

Gartner

Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

About this role: We are seeking a talented Associate Data Scientist to join the Marketing ... At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert ...

New

Gartner

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

About this role: We are seeking a talented Associate Data Scientist to join the Marketing ... At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert ...

New

Munich RE

Senior Data Scientist

Hartford, CT · On-site

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Ability to write production-ready code At The Hartford Steam Boiler, a subsidiary of Munich Re, we ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Ability to write production-ready code At The Hartford Steam Boiler, a subsidiary of Munich Re, we ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... Ability to write production-ready code At The Hartford Steam Boiler, a subsidiary of Munich Re, we ...

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Showing results 1-20

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.

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For At Home Data Scientist Risk jobs in Connecticut, the most frequently searched job titles are:

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The top searched job categories for At Home Data Scientist Risk jobs in Connecticut are:

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Cities in Connecticut with the most At Home Data Scientist Risk job openings:

At Home Data Scientist Risk jobs near you

Data Scientist

Customer Operations

Stamford, CT • On-site, Remote

Full-time

Posted 21 days ago

Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Do you thrive on transforming complex data into actionable insights that drive business growth? At Spectrum, you’ll use advanced statistical techniques and machine learning to develop impactful solutions for real-world challenges, collaborating across teams and communicating your findings to stakeholders at all levels. Your expertise will shape decisions and deliver measurable results that matter.

This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.


How You’ll Make an Impact

  • Responsible for the full end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of financial impact.
  • Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements.
  • Apply analytical and statistical algorithms to help stakeholders enhance their business strategies
  • Collaborate on the design and implementation of data quality procedures for both current and new data sources
  • Communicate data science solutions and complex analyses clearly to team members and business leaders
  • Establish connections across existing data sources and uncover new data correlations
  • Present data insights and recommendations to key stakeholders to inform business decisions
  • Ensure testing and validation are integral to all analytics solutions, achieving project goals within deadlines while proactively communicating progress

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 3 years in data analytics
  • 2 years programming experience

Skills

  • Effective verbal and written communication, relationship management and customer service skills
  • Building Logistic Regression models, Random Forest models, XGBoost models using Python
  • Ability to work effectively in a team environment with minimal supervision
  • Experience with analytical and statistical software
  • Proficient using data science toolkits such as Python
  • Comprehensive SQL skills
  • Strong analytical and problem-solving skills, attention to detail and data accuracy
  • Capacity for in-depth and independent research and analysis
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Deep understanding of computer science principles including algorithms, data structures and design methodologies
  • Familiarity with big data tools such as Spark and Hive

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Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 3 years in data analytics
  • 2 years programming experience

Skills

  • Effective verbal and written communication, relationship management and customer service skills
  • Building Logistic Regression models, Random Forest models, XGBoost models using Python
  • Ability to work effectively in a team environment with minimal supervision
  • Experience with analytical and statistical software
  • Proficient using data science toolkits such as Python
  • Comprehensive SQL skills
  • Strong analytical and problem-solving skills, attention to detail and data accuracy
  • Capacity for in-depth and independent research and analysis
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Deep understanding of computer science principles including algorithms, data structures and design methodologies
  • Familiarity with big data tools such as Spark and Hive
Employment Type: Full Time

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