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Navient Remote Jobs in California (NOW HIRING)

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

... Navient data warehouses, production databases, third-party providers, and publicly available ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

... Navient data warehouses, production databases, third-party providers, and publicly available ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

... Navient data warehouses, production databases, third-party providers, and publicly available ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

... Navient data warehouses, production databases, third-party providers, and publicly available ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

Navient Remote information

What are the typical challenges faced when working remotely for Navient, and how are they addressed?

Remote employees at Navient often face challenges such as maintaining clear communication with team members, staying organized without direct supervision, and managing work-life balance. To address these, Navient provides robust digital collaboration tools, regular virtual check-ins, and clear performance expectations. The company also encourages a supportive remote culture through ongoing training and access to resources that help employees stay engaged and productive.

What are the key skills and qualifications needed to thrive as a Navient Remote Customer Service Representative, and why are they important?

To thrive as a Navient Remote Customer Service Representative, you need strong communication skills, attention to detail, and a high school diploma or equivalent. Familiarity with customer relationship management (CRM) software, call center phone systems, and basic computer applications is typically required. Outstanding problem-solving abilities, patience, and the ability to work independently make someone excel in this role. These skills are essential for efficiently resolving customer inquiries, maintaining service quality, and supporting Navient’s commitment to client satisfaction in a remote environment.

What are Navient remote jobs?

Navient remote jobs are positions offered by Navient, a company specializing in loan management, that allow employees to work from home or another remote location rather than in a traditional office setting. These roles often include customer service representatives, collections specialists, and administrative positions that support Navient’s operations. Remote employees use digital tools and secure systems to assist customers with student loan inquiries, payments, and account management. Working remotely with Navient usually requires a reliable internet connection, a quiet workspace, and strong communication skills. Navient provides training and ongoing support to ensure remote employees can perform their duties effectively.
What job categories do people searching Navient Remote jobs in California look for? The top searched job categories for Navient Remote jobs in California are:
Infographic showing various Navient Remote job openings in California as of July 2026, with employment types broken down into 1% Internship, 15% Full Time, 54% Part Time, 3% Temporary, 26% Contract, and 1% Nights. Highlights an 45% Physical, 14% Hybrid, and 41% Remote job distribution.
Data Scientist

Data Scientist

Earnest

San Francisco, CA • On-site, Remote

$194K/yr

Other

Posted 11 days ago


Job description

Title: Data Scientist

Duties:

  • The Data Scientist at Earnest LLC in Oakland, CA will guide product recommendations and model development, and communicate analyses and insights to the Data team and broader organization. 
  • Develop and maintain predictive machine learning (ML) models to assess potential risks and opportunities across Earnest's lending products, contributing to the enhancement of risk and marketing assessment procedures.
  • Participate in the end-to-end ML pipeline, spanning from data collection to model deployment. This includes collaborating with data and infrastructure engineers to automate training and monitoring using BI tools and writing ETL pipelines to source data for model training from various sources such as Earnest or Navient data warehouses, production databases, third-party providers, and publicly available datasets.
  • Conduct experimentation and execute causal inference analyses on pricing, marketing, and product models to optimize product conversion rates.
  • Write code for inferential models that guide product and underwriting decisions, and document modeling decisions through Confluence or GitHub Readme files.
  • Collaborate closely with cross-functional teams and stakeholders to accelerate solution iteration and achieve measurable outcomes.
  • Articulate model impacts and analytical insights through presentations and reports, draft recommendations to optimize product and underwriting policies, and provide guidance and mentorship on modeling best practices to peers on the team.
  • Position is 100% remote. Salary: $194,834 per year.  

Requirements: 

  • Master's degree in Data Science, Statistics, Business Analytics, or a related field, plus 4 years of experience as a Data Scientist or related occupation.
  • Must have 2 years of experience with each of the following: (1) designing and implementing machine learning models, including regression, classification, and forecasting for applications including underwriting, propensity, or collections models; (2) SQL, Python, and R for data analysis, modeling, and automation; (3) product analytics and experimental design, including A/B testing and causal inference; (4) building, testing, and deploying scalable data pipelines and production-ready models using statistical and ML methods; (5)  researching and resolving data-related issues within the Financial Services, E-commerce, or Fintech sectors to drive informed decision-making and optimize business processes.

This notice is subject to Earnest LLC's employee referral program.

Interested candidates can online at www.earnest.com/careers [earnest.com] or send a resume to directrecruiting@earnest.com and reference job code 065. Contact Chayna Eno at people@earnest.com if you have questions or need information about this application.