Data Scientist

Credible

. Drive the long-term statistical modeling and machine learning vision of the company .

Posted 9/17/2026full-timeRemote • United StatesMid-LevelSenior💰 $89,000 - $124,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling and machine learning, with a strong focus on developing and deploying predictive models. Proficient in data analysis, project management, and collaboration with cross-functional teams to enhance user experience and drive business outcomes.

Highest-signal resume keywords

Statistical ModelingMachine Learning AlgorithmsPredictive Model DevelopmentCloud Infrastructure ToolsData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonRSQLData MiningData CleansingNeural NetworksDecision TreesExperiment DesignMLOps ToolsVersion Control

Soft Skills

Strategic Project PlanningWritten CommunicationVerbal CommunicationAnalytical SkillsCreativity

Tools & Technologies

AWS EC2AWS S3AWS RedshiftSnowflakeGitHubSeldon-core

Industry Keywords

E-commerceFintechUser Classification SystemsProduct RecommendationCross-Selling Initiatives

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudEC2ETLPythonSQL

About the role

Key responsibilities & impact

Drive the long-term statistical modeling and machine learning vision of the company
Conduct exploratory data analysis before model development
Perform feasibility assessments and proofs of concept for proposed ML solutions
Monitor and diagnose model performance issues, including drift and degradation
Research and evaluate additional use cases for existing models
Support ad hoc ML-related analytics requests from stakeholders and senior data scientists
Analyze and improve product recommendation and user classification systems
Help optimize adaptive user experience, cross-selling initiatives, and retargeting efforts
Design, prototype, and implement models across several domains
Manage the full project lifecycle, including exploration, training-data preparation, model development, and production deployment
Collaborate with product and marketing managers, analysts, and engineers to turn user insights into automated services

Requirements

What you’ll need

BA/BS in Mathematics, Statistics, or Computer Science required
3+ years experience in developing, testing, and deploying optimized predictive models
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, including neural networks and decision trees
Advanced knowledge of experiment design
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 written and verbal communication skills
Ability to develop project plans and deliver results against quarterly and annual roadmaps
Ability to work with loosely defined requirements and exercise creativity and analytical skills
Ability to articulate vision, complex thoughts, analytical processes, and results in clear business terms
Ability to anticipate business needs and work autonomously
Experience with Seldon-core or other MLOps tools is preferred
Experience at an e-commerce or fintech company is a plus

Benefits

Comp & perks

Annual discretionary bonus
Medical insurance
Dental insurance
Vision insurance
401(k) plan
Paid time off
Other benefits in accordance with applicable plan documents