Data Scientist IV

Great Place To Work US

. Lead complex data science and technical-improvement projects from problem definition through implementation .

Posted 11/4/2026full-timeRemote • United StatesMid-LevelSenior💰 $153,985 - $219,363 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in machine learning, statistical modeling, and data transformation, with a strong focus on developing and implementing AI-enabled solutions and complex data workflows. Proven ability to translate business needs into technical requirements while effectively managing stakeholder relationships and communication.

Highest-signal resume keywords

Machine Learning ExpertiseAdvanced Python ProgrammingSQL Data ManagementData Workflow AutomationStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingAlgorithmsData TransformationAI-Enabled SolutionsData PipelinesCloud EnvironmentsAPIsAutomated TestingVersion ControlModel Performance Evaluation

Soft Skills

Problem-SolvingProject LeadershipCommunicationSystems ThinkingInitiative

Tools & Technologies

Workflow-Automation ToolsRelational DatabasesCloud PlatformsData PlatformsMonitoring Tools

Industry Keywords

Data ScienceTechnical ImprovementBest Workplace ListsData Quality AssuranceBusiness-Critical Solutions

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Lead complex data science and technical-improvement projects from problem definition through implementation
Develop, validate, document, and maintain algorithms, scripts, statistical models, benchmarks, and data workflows for global Best Workplace lists
Diagnose data and workflow issues and make technical decisions regarding data preparation, quality assurance, reproducibility, sensitivity testing, and methodology enhancements
Assess end-to-end list-production and global data-management workflows
Lead automation, standardization, simplification, and scalable system improvements
Translate business and methodology needs into implementation-ready requirements, process maps, data definitions, acceptance criteria, dependencies, test scenarios, controls, and success measures
Resolve conflicting stakeholder needs and surface decisions, tradeoffs, and risks
Design and implement AI-enabled solutions, prototypes, and automations
Partner with Product, Tech, and business stakeholders on production engineering, infrastructure, system integration, and secure access needs
Establish documentation, testing, monitoring, support, and maintenance practices for reliable technical solutions
Build alignment across technical and non-technical stakeholders and communicate technical concepts in accessible business language
Cross-train with the Principal Data Scientist to maintain coverage during peak periods

Requirements

What you’ll need

5–7+ years of professional data science experience
Advanced expertise in machine learning, statistical modeling, algorithms, data transformation, AI-enabled solutions, and applied insights or analytics-based solutions
Advanced programming proficiency in Python
Advanced SQL experience, including querying, reconciling, transforming, and validating large, complex, or incomplete datasets
Experience with relational, cloud, or other data platforms
Experience independently designing, automating, and supporting complex, business-critical data workflows
Experience with APIs, data pipelines, cloud environments, workflow-automation tools, inherited code, and deployed AI-enabled solutions
Experience owning the lifecycle of an internal analytical product or business-critical technical capability
Experience building production-ready data science or analytics solutions
Knowledge of software-engineering best practices, including modular code, version control, automated testing, code review, deployment, monitoring, model-performance and accuracy evaluation, safe change practices, third-party API updates, and troubleshooting production issues
Experience eliciting, analyzing, reconciling, and documenting business, functional, technical, data, and integration requirements
Strong systems thinking, initiative, technical judgment, and problem-solving skills
Demonstrated stakeholder-management, communication, and project-leadership skills
Ability to work effectively in a collaborative remote environment
Commitment to Great Place To Work values, behaviors, and mission

Benefits

Comp & perks

Performance-based bonus plan eligibility
Restricted stock unit awards eligibility
Wellness programs
Tuition reimbursement
U Choose customizable expense reimbursement program
Expense reimbursement for student loan repayment, childcare, pet insurance, and 200+ other needs
Inclusive culture
Employee resource groups
Supportive and caring leaders
Comprehensive benefits and rewards
Disability accommodation assistance during the application and interview process