Senior Data Scientist

POSITION SUMMARY

As a Senior Data Scientist, you will play a key role in ensuring the seamless operation, optimization, and performance of data-driven solutions across various Natera’s products. You will collaborate closely with cross-functional teams, including lab operations, product, engineering, and other data scientists, to analyze, interpret, enhance the performance of critical product workflows, and drive process improvements. This role offers a unique opportunity to work on real-world data challenges, improve efficiency through automation, and develop scalable data solutions that support business objectives.

We invite you to join our team if you enjoy solving complex data problems, optimizing processes, and collaborating with technical and non-technical stakeholders to make impactful decisions in healthcare.

PRIMARY RESPONSIBILITIES

• Collaborate and interface with Lab Operations and Product teams to identify process issues, and assist with thorough root cause analysis, and product support
• Provide data-backed analysis quickly to Lab Operations to unblock production issues and improve patient results turnaround times
• Develop and implement anomaly detection models to monitor key process metrics and identify deviations in product performance
• Apply statistical techniques to analyze complex datasets, supporting predictive analytics and process optimization
• Perform exploratory data analysis, identify trends, and work with stakeholders to interpret results for continuous improvement
• Utilize SQL for data extraction, transformation, and analysis to generate insights that drive business decisions while optimizing queries for efficient data retrieval and scalable performance on large datasets
• Document analytical processes, best practices, and insights to ensure consistency and knowledge transfer across teams
• Provide training and guidance on SQL, data analysis, and statistical methods to empower internal teams

QUALIFICATIONS

Requirements

• Master’s degree in Statistics, Engineering, Computer Science, or a related field
• At least 3 years of hands-on experience in data analysis and statistical modeling
• At least 3 years of experience using Python, and SQL
• Strong understanding of statistical concepts such as hypothesis testing, central limit theorem, time series analysis, anomaly detection, and regression modeling
• Familiarity with machine learning techniques and their practical applications in real-world datasets
• Excellent communication skills, with the ability to present technical findings to both technical and non-technical audiences
• Proven experience in project management, including managing stakeholders, priorities, timelines, and cross-functional collaboration

Desirable but Not Required

• Experience with AWS or other cloud infrastructure for data storage, processing, or model deployment
• Interest in learning about human genetics and sequencing technologies (prior experience is a plus but not required)
• Familiarity with the data science product lifecycle, including model development, validation, deployment, and monitoring
• Experience using version control systems such as GitHub or GitLab for managing code and collaboration