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.
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:
$102,000—$136,000 USD
For all other US locations
$89,000—$124,000 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 all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
