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Capital One Data Scientist Jobs in Ridgefield, CT

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 ...

Berkley Corporation has grown from a small investment management firm into one of the largest ... Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ...

Data Scientist

Danbury, CT · On-site

$119 - $132/hr

Write SQL queries to analyze data and support systemoperations, utilizing technologies, including ... in every one of its business areas, regions and locations across the globe. The company is ...

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 the end-to-end data science process, including ETL, model development, validation, deployment into ...

Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data science and machine learning ...

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data science and machine learning ...

Associate Data Scientist

Stamford, CT · On-site

$90 - $118/hr

BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field.1+ years of experience applying data science and machine learning techniques through professional ...

Lead data science projects in close collaboration with IT, Data Engineering, Application ... 1 year designing and implementing agents and multi-agent systems for enterprise business ...

Lead data science projects in close collaboration with IT, Data Engineering, Application ... 1 year designing and implementing agents and multi-agent systems for enterprise business ...

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Berkley Corporation has grown from a small investment management firm into one of the largest ... The Actuary/Data Scientist will leverage strong analytical and coding skills to support data ...

Berkley Corporation has grown from a small investment management firm into one of the largest ... Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ...

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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Showing results 1-20

Capital One Data Scientist information

See Ridgefield, CT salary details

$37.3K

$122.2K

$195.7K

How much do capital one data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for capital one data scientist 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 does a data scientist at Capital One do?

A Data Scientist at Capital One leverages data analysis, machine learning, and statistical modeling to solve business problems and drive innovation in financial products and services. They work with large datasets to uncover insights, build predictive models, and help teams make data-driven decisions. Projects often include fraud detection, credit risk modeling, and customer personalization. Collaboration with engineers, analysts, and business stakeholders is common to ensure solutions are scalable and practical.

How does a data scientist at Capital One typically collaborate with cross-functional teams to drive business outcomes?

Data Scientists at Capital One work closely with cross-functional teams such as product managers, engineers, and business analysts to identify opportunities for leveraging data-driven solutions. They participate in regular meetings to define project goals, share insights from data analysis, and translate complex findings into actionable recommendations. Collaboration is often facilitated through agile methodologies, ensuring that projects align with both technical feasibility and business objectives. This teamwork fosters a dynamic environment where data science directly impacts strategic decisions and customer experiences.

What are the key skills and qualifications needed to thrive as a Capital One data scientist, and why are they important?

To thrive as a Capital One Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and typically a degree in a quantitative field such as computer science, math, or engineering. Experience with programming languages like Python or R, data visualization tools, and familiarity with cloud platforms and big data systems are crucial. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you translate complex data insights into actionable business solutions. These skills and qualities are vital for driving data-driven decision-making and delivering impactful results within Capital One's fast-paced, innovative environment.

What cities near Ridgefield, CT are hiring for Capital One Data Scientist jobs?

Cities near Ridgefield, CT with the most Capital One Data Scientist job openings:

Infographic showing various Capital One Data Scientist job openings in Ridgefield, CT as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $122,241 per year, or $58.8 per hour.

Data Scientist

Stamford, CT • On-site, Remote

Full-time

Posted 26 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