200+ applicants

Company

Credible · 6 hours ago

Data Scientist

United States

Full-time

Remote

Mid Level

$124K/yr - $165K/yr

3+ years exp

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Comp. & Benefits

Hiring Manager

Austin Cardona

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Statistical modelingMachine learningPredictive modelsPythonRSQLData miningData cleansingNeural networksDecision treesExperiment designMLOps toolsCloud infrastructureData visualizationGitHubETLProject planningE-commerce experienceFintech experience

Required

BA/BS in Mathematics, Statistics, or Computer Science required.

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.

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).

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.