Staff Data Scientist and Computer Vision & Robotics Specialist-remote within the US

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

The Staff Data Scientist and Computer Vision & Robotics Specialist will drive innovation across a broad spectrum of data science, machine learning and computer vision applications in healthcare and robotics. This position is ideal for a versatile data scientist with expertise in computer vision and a strong foundation in general data science and machine learning. The candidate will develop data processing pipelines, vision based robotic systems, AI-driven solutions for clinical decision support while working with structured and unstructured data, including images, text, machine data, and sensor logs. The candidates needs to be comfortable working across the full data and computer vision lifecycle, from wrangling complex datasets and troubleshooting pipelines to responding quickly to evolving stakeholder needs. You take ownership, adapt to ambiguity, and do what’s needed to move projects forward with urgency and precision. Our preferred platforms are Databricks and NVIDIA Omniverse.

This is a role well suited to an ambitious professional, looking for the next step in their career. As a Staff Data Scientist, you will be responsible for:

• Design, develop, and deploy ML models and traditional 2D and 3D computer vision approaches for robotic vision tasks (object detection, segmentation, classification, 2D and 3D measurements).
• Design, develop, deploy, and maintain end-to-end automated data processing pipelines. This includes data ingestion, data mining, exploratory analysis, transformation, storage, modelling, automation, and basic optimization.
• Create, deploy, and maintain BI dashboards to communicate insights across the organization and promote data-driven decision making.
• Design, develop, and deploy ML models for predictive and prescriptive maintenance, clinical decision support, and text analysis and information extraction.
• Build prototypes for feasibility studies in healthcare environments and communicate results to stakeholders.
• Conduct exploratory data analysis across diverse data types (machine data, EHRs, sensor data, logs, images).
• Collaborate across departments to optimize product performance using statistical and analytical rigor, as well as input from subject matter experts across a complex organizational structure.
• Contribute to developing organizational best practices in machine learning and data science. 

 Required skills to have for the success of this role:

• Master's level university degree in mathematics, statistics, computer science, physics, electrical engineering or engineering sciences. A bachelor's degree and 10+ years of relevant work experience may be considered.
• 5+ years of experience in data science and/or computer vision.
• High level of expertise in big data, structured and unstructured data, Spark/PySpark, Delta Lake, and Databricks environment.
• Strong technical expertise in technologies, algorithms, and methodologies in the areas of object detection (e.g., YOLO framework) and image analysis, deep neural networks architectures for object detection. 
• Experience with NVIDIA Omniverse environment and NVIDIA foundation models such as GR00T and Cosmos
• Substantial expertise in traditional computer vision and image analysis, for instance, utilizing OpenCV.
• Deep expertise in leveraging and extending BI tools such as Power BI and Databricks dashboards (especially with complex data models) to deliver innovative, high-impact solutions that stretch the boundaries of what these platforms can achieve.
• Technical expertise in technologies, algorithms and methodologies in the areas of transformer architecture, natural language processing, LLMs, copilots, and GenAI.
• Understanding of concepts of time-series analysis, feature engineering, dimensionality reduction, etc.
• Ability to apply analytical rigor and statistical methods to optimize products.
• High level of expertise in applied ML frameworks such as PyTorch, TensorFlow, Hugging Face, Scikit-learn, etc.
• Understanding of ML model explainability and ML risk assessment concepts.
• Broad understanding of ML life cycle management/MLOps.
• Practical skills in GPU ML training and inference.
• Medical applications experience is preferred but not required.
• Exceptional communication skills and mastery of visual storytelling with data. Able to distill complex analyses into compelling technical and business-relevant narratives that resonate with stakeholders across all levels of technical expertise.
• High comfortability with navigating ambiguous problems, translating broad stakeholder requests into necessary actions, and independently driving data initiatives to deliver actionable insights.
• Collaborative mindset and interest in continual learning and skill enhancement.
• Ability to manage multiple priorities, seamlessly switch contexts, and adapt to evolving business needs. Maintain focus and effectiveness in dynamic, fast-paced environments.

#LI-BH1

Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

To find out more about Siemens Healthineers businesses, please visit our company page here.

The base pay range for this position is:

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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