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At Home Data Scientist Risk Jobs in Ridgefield, CT

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

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 ...

Accenture

Senior Data Scientist

Carmel, NY · On-site

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... Assess AI use cases and systems for risk across areas including fairness, transparency ...

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.

Trans Union LLC

Lead Data Scientist

White Plains, NY · On-site

$100K - $160K/yr

... of Data Science & Analytics. The Financial Services Analytics team is an industry recognized ... segment at TransUnion. This includes but is not limited to the development of predictive risk ...

Gartner, Inc.

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 ...

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 ...

Socket.dev

Data Scientist, Decision Quality

Shelton, CT · On-site

Given what the analyst could see at the moment they made the call, was the disposition right, and ... You are one of the first three seats in a new US data science team, alongside a lead who owns risk ...

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 ...

Walmart

(USA) Senior, Data Scientist

White Plains, NY · On-site

$108K - $216K/yr

At Walmart, we pride ourselves for knowing our customers and connecting with them better than any ... Lead and execute data science for Walmart's High Value Habits initiatives, focusing on deepening ...

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All JobsAt Home Data Scientist Risk JobsAt Home Data Scientist Risk Jobs in Ridgefield, CT

At Home Data Scientist Risk information

See Ridgefield, CT salary details

$37.3K

$122.2K

$195.7K

How much do at home data scientist risk jobs pay per year?

As of Sep 14, 2026, the average yearly pay for at home data scientist risk in Ridgefield, CT is $122,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,400.00 per year, depending on experience, location, and employer.

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 job categories do people searching At Home Data Scientist Risk jobs in Ridgefield, CT look for?

The top searched job categories for At Home Data Scientist Risk jobs in Ridgefield, CT are:

What cities near Ridgefield, CT are hiring for At Home Data Scientist Risk jobs?

Cities near Ridgefield, CT with the most At Home Data Scientist Risk job openings:

At Home Data Scientist Risk jobs near you

Data Scientist

Stamford, CT • On-site, Remote

Customer Operations
See more jobs at Customer Operationsexternal

Full-time

Re-posted 15 days ago

Key responsibilities

  • 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

  • Communicate data science solutions and complex analyses clearly to team members and business leaders

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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BDA303 2026-77930 BDA303 2026
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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