ZipRecruiter

Log In

1

At Home Data Scientist Risk Jobs in Ridgefield, CT

Trexin Consulting

Risk Manager

White Plains, NY · On-site

Our expertise spans Healthcare, Life Sciences, Financial Services, and Products & Distribution ... Trexin Consulting is currently seeking a Risk Manager to join our team and consult at our clients.

New

DFO Referrals

Vendor Risk Manager

Westport, CT · Hybrid

... Science, Cybersecurity, or a related discipline. * At least 7 years of progressive experience ... testing results, data protection requirements, and third-party security risks across complex ...

Dalio Family Office

Vendor Risk Manager

Westport, CT · On-site

... Science, Cybersecurity, or a related discipline. * At least 7 years of progressive experience ... testing results, data protection requirements, and third-party security risks across complex ...

Dalio Family Office

Vendor Risk Manager

Westport, CT · Hybrid

... Science, Cybersecurity, or a related discipline. * At least 7 years of progressive experience ... testing results, data protection requirements, and third-party security risks across complex ...

DFO Referrals

Vendor Risk Manager

Westport, CT · On-site

... Science, Cybersecurity, or a related discipline. * At least 7 years of progressive experience ... testing results, data protection requirements, and third-party security risks across complex ...

previous page

Showing results 41-60

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 Aug 21, 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 Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Re-posted yesterday

Job description

Application Deadline: September 1, 11:59 pm EST
Program Summary - Data Science & Technology Internship
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.
Responsibilities:
  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:
  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

Apply