Natera · 18 hours ago
Sr Data Scientist, Gen AI
San Carlos, CA
Full-time
Remote
Mid, Senior Level
$106K/yr - $132K/yr
7+ years exp
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Responsibilities
Lead the design, development, and implementation of advanced data science models that support lab operations, billing, sales, revenue cycle management and customer experience strategies.
Collaborate with cross-functional teams, including data engineers, product managers, and business stakeholders, to identify and prioritize data science projects that align with business objectives.
Utilize Gen AI tools and frameworks to build scalable and customized solutions that address complex business challenges in the healthcare domain.
Develop predictive analytics, machine learning models, and AI-powered applications to enhance patient experience, optimize billing processes, and support strategic decision-making.
Work closely with the data engineering team to ensure efficient data pipelines and integration with existing systems. Proficiency in leveraging cloud services such as Snowflake Data Cloud(e.g., Cortex AI, Document AI), AWS (e.g., Redshift, Glue, SageMaker, ML pipeline), and GCP (e.g., BigQuery, Vertex AI, ML pipeline) is highly valued.
Translate business requirements into technical solutions and actionable insights by creating dashboards, reports, and interactive visualizations.
Implement and maintain a robust data governance framework to ensure data quality, accuracy, and compliance with industry standards and regulations.
Act as a key advisor in cross-departmental initiatives, working closely with sales teams to develop predictive models that drive customer acquisition and retention strategies.
Mentor junior team members and provide technical leadership to foster a culture of collaboration, continuous learning, and innovation. Lead data science discussions and strategy sessions with senior management.
Present findings and model performance metrics to stakeholders and executive teams in a clear, concise, and actionable manner, showcasing the impact of projects on business objectives.
Qualification
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Required
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. PhD is a plus.
7+ years of experience in data science, with at least 3 years working in the medical or healthcare industry.
Proven experience with medical billing systems, claims lifecycle management, and Laboratory Information Management Systems (LIMS) such as LabWorks or similar.
Strong expertise in developing machine learning models, predictive analytics, and AI-driven solutions tailored to healthcare datasets.
Knowledge of Snowflake, AWS, and GCP platforms is an added advantage.
Proficiency with programming languages and tools such as Python, R, SQL, and cloud-based machine learning platforms (e.g., AWS SageMaker).
Experience deploying Gen AI solutions, including NLP and deep learning models, for business applications.
Proficiency in using data visualization tools such as Power BI, Qlik, or Tableau to create dynamic, interactive reports.
Strong communication and leadership skills to guide teams and present complex data-driven insights in an actionable way.
Knowledge of agile project management methodologies and the ability to manage multiple priorities in a fast-paced environment.
Demonstrated leadership capabilities, with experience in mentoring and guiding data science teams.
Attention to detail and strong commitment to maintaining data integrity and quality.
Preferred
Experience with healthcare compliance standards (e.g., HIPAA).
Familiarity with customer experience analytics and patient satisfaction models.
Expertise in integrating Gen AI chatbots and virtual assistants tailored for healthcare use cases, such as conversational AI for patient support and sales optimization.
Benefits
Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
Free testing in addition to fertility care benefits
Pregnancy and baby bonding leave
401k benefits
Commuter benefits
Generous employee referral program
Company
Natera
Natera specializes in cell-free DNA testing to provide a more targeted interventions to oncology, women's health, and organ health.
1001-5000 employees
H1B Sponsorship
Natera has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (24)
2022 (54)
2021 (75)
2020 (47)
Funding
Current Stage
Public CompanyTotal Funding
$1.16BKey Investors
Sofinnova InvestmentsLightspeed Venture PartnersSequoia Capital
2023-09-07Post Ipo Equity· $250M
2022-11-15Post Ipo Equity· $400.05M
2022-03-16Post Ipo Equity· $5M
Leadership Team
Steve Chapman
CEO
Jonathan Sheena
Co-Founder
Recent News
Google Patent
2024-12-03
2024-12-03
Company data provided by crunchbase
