Senior Staff Data Scientist for Robotics and Vision Systems- Remote

Do you want to join us inhelping to fight the world’s most threatening diseases and enabling access tocare for more people around the world? At Siemens Healthineers, we pioneerbreakthroughs in healthcare.  Foreveryone. Everywhere.

We offer you a flexible anddynamic environment with opportunities to go beyond your comfort zone in orderto grow personally and professionally. Sound interesting? Join our team now atSiemens Healthineers. 

Our global team: We are a team of 66,000highly dedicated employees across more than 70 countries passionately pushingthe boundaries of what’s possible in healthcare to help improve people’s livesaround the world. As a leader in the industry, we aspire to create betteroutcomes and experiences for patients no matter where they live or what healthissues they are facing. Our portfolio, spanning from in-vitro and in-vivodiagnostics to image-guided therapy and innovative cancer care, is crucial forclinical decision-making and treatment pathways.

Our culture: We are part of anincredible community of scientists, clinicians, developers, researchers,professionals, and skilled specialists pushing the boundaries of what’spossible, to improve people’s lives around the world.  We embrace a culture of inclusivity in whichthe power and potential of every individual can be unleashed. We spark ideasthat lead to positive impact and continued success. Check our Careers Site at https://www.siemens-healthineers.com/en-us/careers. 

Join our team now atSiemens Healthineers as a Senior Staff Data Scientist.  The ideal candidate is a machine learning generalistcovering entire spectrum of the applied ML/AI workflow including objectdetection, image analysis, big data handling, MLOps, advanced ML concepts andframeworks (including unstructured data and multimodal ML), distributed deeplearning training, and ML explainability. The focus of this position is onimage analysis, object detection, segmentation, and classification to solverobotic problems. Our preferred platforms are Databricks and NVIDIA Omniverse.

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

• Developing, training, andtesting models for object detection, classification, and segmentation to solverobotic problems
• Developing AI models and classicalcomputer vision workflows on images of different quality including noisy and low-qualityimages
• Independently and rapidly developand test functioning prototypes for feasibility demonstration in a healthcare environment,validate and communicate results to answer business-relevant questions.
• Developing reusableanalytic models, configure and deploy algorithms, select optimal tools anddefine visualization methods/tools to present results.
• Contributing to developingorganizational best practices in machine learning and data engineering.

Required skills to have forthe success of this role:

• University degree inmathematics, statistics, computer science, physics, electrical engineering, orengineering sciences.
• Strong technical expertisein technologies, algorithms, and methodologies in the areas of object detectionand image analysis, deep neural networks architectures for object detection,time-series analysis, feature engineering, dimensionality reduction, etc.
• Substantial expertise intraditional computer vision and image analysis, for instance, utilizing OpenCV
• Understanding of visionsystems and their distortions and noise factors
• Proficient programming abilitiesin Python and C++, with hand-on experience with code completion assistants
• Extensive knowledge ofusing and extending analytical tools and platforms such as Databricks, Spark,and analogous data analytics environments.
• Experience with NVIDIAOmniverse environment is preferred but not required
• Expertise in robotic applicationsand ROS is preferable
• Expertise in big dataanalytics and analytics with structured and unstructured data.
• Ability to apply analyticalrigor and statistical methods to optimize our products
• High level of expertise inapplied ML frameworks such as PyTorch, TensorFlow, Scikit-learn, etc.
• Understanding of conceptsin medical statistics
• Comfortable with creationand analysis of complex models to support effective decision making
• Understanding of ML modelexplainability and ML risk assessment concepts
• Broad understanding of MLlife cycle management/MLOps.
• Practical skills indistributed GPU ML training and inference.
• Strong presentation andcommunication skills to present technical and business-relevant insights atdifferent levels of the organization.
• Medical applications experienceis preferred but not required.
• Experience in Azure bigdata technologies is beneficial.

The pay range for thisposition is $167,000-$230,000 annually; however, base pay offered may vary depending onjob-related knowledge, skills, and experience. The annual incentive target is(15%) of base pay. Siemens Healthineers offers a variety of health and wellnessbenefits including paid time off and holiday pay. Details regarding ourbenefits can be found here: https://benefitsatshs.com/index.html.

This information is provided per the required state Equal Pay Act. Base payinformation is based on market location. Applicants should apply via SiemensHealthineers external or internal careers site.

At Siemens Healthineers, wevalue those who dedicate their energy and passion to a greater cause. Ourpeople make us unique as an employer in the med-tech industry. What unites andmotivates our global team is the inspiration of our common purpose:  To innovate for healthcare, building on ourremarkable legacy of pioneering ideas that translate into even betterhealthcare products and services. We recognize that taking ownership of ourwork allows both us and the company to grow. We offer you a flexible anddynamic environment and the space to move beyond your comfort zone to grow bothpersonally and professionally.

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Please beware ofpotentially fraudulent job postings or suspicious recruiting activity bypersons that are currently posing as Siemens Healthineers recruiters/employees.These scammers may attempt to collect your confidential personal or financialinformation. If you are concerned that an offer of employment with SiemensHealthineers might be a scam or that the recruiter is not legitimate, pleaseverify by searching for the posting on the Siemens Healthineers Career Site.  

If you want to join us intransforming the way healthcare is delivered, visit our career site athttps://usa.healthcare.siemens.com/careers.

If you wish to find outmore about the specific before applying, please visit: https://usa.healthcare.siemens.com/about.

“Successful candidate must be able to work withcontrolled technology in accordance with US export control law.” “It is SiemensHealthineers’ policy to comply fully and completely with all United Statesexport control laws and regulations, including those implemented by theDepartment of Commerce through the Export Administration Regulations (EAR), bythe Department of State through the International Traffic in Arms Regulations(ITAR), and by the Treasury Department through the Office of Foreign AssetsControl (OFAC) sanctions regulations.”

As an equal-opportunityemployer we are happy to consider applications from individuals withdisabilities.