# Data Scientist at Credible

> Remote · United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Acredible%3A8195867 (read 2026-11-08).

## Facts (observed)

- Company: [Credible](https://alderhq.app/companies/credible)
- Location text: Remote, United States; Remote, United States
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Remote, United States; Remote, United States")
- Posted: 2026-09-17 (52 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/credible/jobs/8195867
- Skills listed (inferred): Python, AWS, Docker, Snowflake, SQL

## Pay and sponsorship

- Posted pay: $102k–$136k per year (from the listing's pay field)
- Market band for similar posted roles (United States, n 296): p25 $105k, median $138k, p75 $188k

## Description (the employer's text)

Who is Credible?

Credible is a leading U.S. consumer finance marketplace, transforming the way consumers access and compare financial products. We operate at a consumer and enterprise level. On the consumer side, we help millions of people make smarter financial decisions by comparing personalized, pre-qualified offers across student loans, personal loans, mortgages, credit cards, and insurance — all without impacting their credit score. On the enterprise side, we power financial product comparison and distribution through deep integrations and partnerships with lenders, insurance carriers, and financial institutions, as well as providing marketplace technology and capabilities to third-party partners and distribution channels.

### About the role

Our Business Intelligence and Analytics team is seeking to grow the company’s Data Science and Machine Learning capabilities across several facets of our business. We are seeking a seasoned Data Scientist to lead this transformative step change function and nurture its growth across several focus areas. You will drive tactical and strategic execution of several data science projects and manage their entire lifecycle.

### You will

- Drive the long-term statistical modeling and machine learning vision of the company.
- Conducting exploratory data analysis (EDA) prior to model development
- Performing feasibility assessments (POCs) for proposed ML solutions
- Monitoring and diagnosing model performance issues, including drift and degradation
- Researching and evaluating additional use cases for existing models
- Supporting ad hoc ML-related analytics requests from stakeholders and senior data scientists
- Conduct analysis to develop and improve our product recommendation and user classification systems. Use this understanding to help optimize our adaptive user experience, cross selling initiatives, and retargeting efforts.
- Design, prototype, and implement models across several domains. Manage each part of a project’s life cycle, including ad-hoc exploration, preparation of training data, model development, and production deployment.
- Work with product and marketing managers, analysts, and engineers to turn insights about our users into automated services.
### Education and Experience

- BA/BS in Mathematics, Statistics, or Computer Science required. Masters Degree in a quantitative or scientific discipline strongly desired.
- 3+ years experience in developing, testing, and deploying optimized predictive models (preferably to inform in-product recommendation systems and automated customer re-targeting efforts).
- Advanced statistical modeling skillset (Python, R, etc).
- Advanced SQL querying, data mining, and data cleansing skillset.
- Deep knowledge of supervised and unsupervised machine learning algorithms (neural networks, decision trees, etc.).
- Advanced knowledge of experiment design.
- Experience with Seldon-core or other MLOps tools is preferred.
- Hands-on experience with cloud infrastructure tools (AWS EC2, S3, Redshift, Snowflake, containers).
- Advanced visualization/reporting and presentation experience.
- Version Control Experience (GitHub).
- Demonstrated experience adopting and effectively leveraging AI tools in day-to-day data science workflows.
- Familiarity with ML deployment infrastructure (ETL, tools, new products in the space).
- Excellent strategic project planning skillset.
- Excellent communication skills (written and verbal).
- Experience at an e-commerce or fintech company is a plus.
### Must Haves

- Ability to develop project plans and deliver results against quarterly and annual roadmaps.
- Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions.
- Excellent written and verbal communication. Ability to articulate vision, complex thoughts, analytical processes, and results in clear business terms.
- Anticipate business needs and think with a business owner mindset – think critically about analyses and solutions and provide improvement recommendations. This role requires an individual who can work autonomously.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acredible%3A8195867 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.