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Data Scientist

Credible logo

Location
United States
Base Salary
124k-198k USD
Credible

Job Description

Who is Credible?

We are a marketplace where users can compare personalized, prequalified rates and quotes from multiple lenders and carriers, for student loans, mortgages, personal loans, and insurance.

We’re challenging the status quo by giving power to the consumer. We believe in a world where ‘ethical’, ‘lending’, and ‘insurance’ can coexist, so we set out to build innovative platforms that actually work for customers. Our mission is to help people find the best loan or insurance policy possible.

We believe researching and buying loans or insurance shouldn’t be confusing or complex, so we’ve focused on simplicity. We’ve created the only unbiased loan and insurance buying process out there, which makes finding options straightforward and clear.

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.
  • Conduct analyses 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.
  • Develop lead scoring models and methodologies to predict Lifetime Value.
  • 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.
  • Partner with engineers to deploy and consume data science models.
  • 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 tool is preferred.
  • Hands-on experience with cloud infrastructure tools (EC2, S3, Redshift, Snowflake, containers).
  • Advanced visualization/reporting and presentation experience.
  • Version Control Experience (GitHub).
  • 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 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.

Credible is open to hiring candidates in the following locations: California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kentucky, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New Mexico, New York, North Carolina, South Carolina, Texas, Tennessee, Utah, Virginia, Washington

Pursuant to state and local pay disclosure requirements, the pay ranges for this role, with final offer amount dependent on education, skills, experience, and location, are listed below. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.

View more details about Credible Benefits

For high cost of labor markets such as but not limited to New York City and San Francisco:
$148,800$198,000 USD
For all other US locations:
$124,000$165,000 USD

Why work at Credible?

We combine the intelligence, expertise, and confidence of a financial advisor with the approachability and honesty of a friend. In other words, we’re the friend you always wish you had in finance.

We are optimistic, challengers, trustworthy, clever, and smart. We are open and transparent. We strive to act as advisors by being friendly, objective, and open in our communication. We use language that is intelligent yet approachable. When appropriate, we’ll drop in a bit of wit to position ourselves as a fresh, reliable voice in the financial world.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Advice from our career coach

To succeed as a Data Scientist at Credible, a marketplace for comparing personalized rates from multiple lenders, applicants should have a strong background in statistical modeling, machine learning, and data analysis. Here are some key tips to stand out as an applicant:

  • Highlight your experience in developing and deploying predictive models, especially for in-product recommendation systems and customer re-targeting efforts.
  • Showcase your expertise in statistical modeling tools like Python and R, as well as advanced SQL querying and data mining skills.
  • Demonstrate your knowledge of supervised and unsupervised machine learning algorithms, experiment design, and experience with MLOps tools.
  • Emphasize your hands-on experience with cloud infrastructure tools and version control systems like GitHub.
  • Articulate your ability to develop project plans, deliver results against roadmaps, and communicate complex analytical processes in clear business terms.
  • Highlight your experience working in e-commerce or fintech companies, along with any experience with ML deployment infrastructure and tools.
  • Show your creativity, analytical skills, and autonomy in delivering best-in-class solutions with loosely defined requirements.

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About the job

Aug 26, 2024

Full-time

124k-198k USD

  1. US United States
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