Data Scientist
Data Scientists in these roles build predictive and classification models that directly drive business outcomes, from revenue optimization and customer health scoring to autonomous vehicle performance evaluation and capacity planning. They distinguish themselves by owning problems end-to-end—from translating ambiguous stakeholder questions into measurable problems, through model development and validation, to production deployment and ongoing monitoring. These roles typically sit within cross-functional product, operations, or analytics teams at scale-up and enterprise AI companies, partnering closely with engineering, product, and business leaders to ensure models deliver sustained impact and reliability in real-world systems.
Skills
What companies are looking for in this role.
Designing and implementing data models, pipelines, and infrastructure to support analytics at scale
Building and maintaining metrics frameworks and dashboards to measure business performance
Conducting exploratory data analysis and deriving actionable insights from complex datasets
Designing and analyzing A/B tests and controlled experiments with rigorous statistical methods
Writing efficient SQL queries and data transformation logic for analytics
Building and deploying predictive and classification models for business applications
Analyzing user behavior patterns and engagement metrics for product optimization
Applying causal inference and advanced statistical methods to observational data
Building and monitoring production machine learning systems for reliability and performance
Developing anomaly detection models for system monitoring and alerting
Building forecasting models across multiple time horizons
Conducting root cause analysis and diagnostic investigations into data anomalies
Applying machine learning to time-series analysis and trend identification
Designing feature engineering pipelines and maintaining feature stores
Developing deep learning models using neural networks for complex pattern recognition
Designing measurement frameworks for compliance and regulatory requirements
Building AI-driven decision systems and automation workflows
Implementing variance reduction and sequential testing methodologies
Measuring and optimizing developer productivity and engineering effectiveness
Collaborating with cross-functional teams including product, engineering, and business stakeholders
Communicating technical findings and recommendations clearly to non-technical audiences
Translating ambiguous business questions into measurable, data-driven problems
Owning data science projects end-to-end from problem definition to production deployment
Partnering with data engineering teams on infrastructure and scalability decisions
Establishing data governance, quality standards, and best practices
Technology
The tools and technologies that define this role.
Open Jobs
70 open Data Scientist jobs across 28 companies.
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