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Online Associate Data Scientist Jobs (NOW HIRING)

Associate Data Scientist

Cleveland, OH ยท On-site

$55K - $55K/yr

A Brief Overview Responsible for receiving, informing, and executing projects that entail the entire scope of the data science pipeline which include, but are not limited to: integrating disparate ...

New

Associate Scientist, Data II

North Chicago, IL ยท On-site

$56K - $57K/yr

As an Associate Data Scientist, you will be a core member of a high-performance team of data engineers and architects focusing on driving technology innovation and continuous improvement. This role ...

Associate Data Scientist

Palo Alto, CA ยท On-site

$69K - $69K/yr

Knowledge of data structures and algorithm complexity The Opportunity We Offer Quantifind is seeking to fill an Associate Data Scientist position on our Data Science team in Palo Alto, California.

Associate Data Scientist

Palo Alto, CA

$69K - $69K/yr

Knowledge of data structures and algorithm complexity The Opportunity We Offer Quantifind is seeking to fill an Associate Data Scientist position on our Data Science team in Palo Alto, California.

As an Associate Data Scientist, you will be a core member of a high-performance team of data engineers and architects focusing on driving technology innovation and continuous improvement. This role ...

Data Scientist (Hybrid)

Edmeston, NY ยท Hybrid

$86K - $143K/yr

This position may provide technical guidance to Associate Data Scientists and supports analytical best practices within the department. Duties & Responsibilities: * Design, develop, test, deploy, and ...

Associate Data Scientist

San Francisco, CA ยท On-site

$69K - $70K/yr

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you'll be ...

AI/ML Engineer / GenAI Engineer / Data Scientist Overview Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is ...

Showing results 41-60

Online Associate Data Scientist information

See salary details

$57.5K

$68K

$129K

How much do online associate data scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for online associate data scientist in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Online Associate Data Scientist jobs?

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For Online Associate Data Scientist jobs, the most frequently searched job titles are:

Associate Data Scientist

Jacksonville, FL โ€ข On-site

Intercontinental Exchange Holdings, Inc.
Finance and Insuranceย โ€ขย 5 - 10K employees

$54K - $55K/yr

Other

Re-posted 18 days ago


Job description

Overview

US Citizens only

Please note that pursuant to a government contract, this specific position requires U.S. citizen, U.S. national or protected individual (as defined in 8 U.S.C. ยง 1324b(a)(3)) status.

Job Purpose

Intercontinental Exchange is seeking a Data Scientist I to join our Loan Data team. As a Data Scientist I, you will play a critical role in analyzing complex loan data sets to identify trends, develop data products, and drive business insights that inform our clients' investment decisions and business strategies. You will work closely with our team to design, develop, and implement data-driven solutions that meet the evolving needs of our clients and drive growth in the loan market.

Responsibilities
  • Loan Data Analysis:
    • Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms).
    • Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools.
    • Develop and maintain databases and data systems to support loan data analysis and modeling.
  • Data Quality & Data Stewardship:
    • Monitor and assess the quality of loan data across internal and external sources.
    • Identify data quality issues, anomalies, and inconsistencies through analysis and validation checks.
    • Partner with data providers, clients, developers, and stakeholders to investigate root causes and drive issue remediation.
    • Contribute to the development of data quality rules, monitoring processes, and controls.
    • Document data quality issues and track resolution progress.
  • Insight Generation:
    • Communicate complex loan data insights and model results to non-technical stakeholders.
    • Develop and present reports, dashboards, and visualizations to support business decisions.
    • Collaborate with stakeholders to identify business problems and develop data-driven solutions.
  • Data Engineering:
    • Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling.
    • Collaborate with data engineers to implement data solutions and integrate with existing systems.
  • Research and Development:
    • Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields.
    • Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models.
Knowledge and Experience
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn).
  • Experience with loan data analysis, machine learning, and data visualization.
  • Familiarity with relational database tools and environments such as SSMS, along with exposure to modern data platforms such as Databricks or Snowflake.
  • Experience with AI-assisted development and analytics tools and ability to incorporate them into data analysis and workflow processes.
  • Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions.
  • Experience with data visualization tools (e.g., Sigma, Tableau, Power BI).
  • Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
Nice to Have
  • Advanced Degree:
    • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Certifications:
    • Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications.
  • Cloud Computing:
    • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake).
  • Domain Expertise:
    • Familiarity with loan markets, loan products, and lending regulations.

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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