Sr. Staff Data Scientist

United States - San Diego : 4545 Towne Center Court, United States

Abbott

Innovative medical devices and health care solutions for cardiovascular health, diabetes management, diagnostic testing, nutrition, chronic pain and more.

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Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

  • Career development with an international company where you can grow the career you dream of.

  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

  • An excellent retirement savings plan with a high employer contribution

  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.

  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

The Senior Data Scientist is within our Infectious Diseases business unit located in San Diego, California.  This role is on-site daily, remote is not an option.

This is from the division that developed at record time a molecular test within minutes for Covid-19 at the heights of the pandemic, we are looking for talented AI/ML and Data Scientists to develop the next breakthrough tools that will alter the way we work and expedite that time to result across various products in our division.

Feel free to watch this video by clicking the link below to find out more about this division and products they have created:

ID NOW COVID-19 2.0 | Abbott Point of Care

This is a key technical role in our growing AI team contributing to the design and development of our instrument platforms within the Instrument Software & Systems organization.  The right candidate for this position will be an experienced Data Scientist who has demonstrated success in leading AI projects and initiatives that support continuous improvement in R&D, Operations, and Commercial teams. 

Abbott Rapid Molecular Diagnostics is part of Abbott’s Diagnostics family of businesses, bringing together exceptional teams of experts and industry leading technologies to support point of care diagnostic testing that provides important information for treatment and management of infectious diseases and other conditions.

Artificial Intelligence is a transformational technology that can bring revolutionary improvements to the internal functions of the enterprise as well as to our customers. This role will be key to driving the "AI" projects to realize new efficiencies in all areas of the business.

What You’ll Work On

  • Drive and develop AI technologies and solutions that provide transformational impact to the functions of our business.

  • Develop statistical and machine learning algorithms to meet complex product requirements. Your tasks will include defining hypotheses, executing necessary tests and experiments, evaluate, tune and optimize algorithms and methods always with an eye towards implementation ease, scalability, and robustness in a live environment.

  • Work closely with stakeholders from Product Management, Engineering, and other business stakeholders to create impactful, intelligent features and products.

  • Collaborate closely with other team members including other Data Scientists, Machine Learning Engineers, and Data Engineers and “own” the end-to-end process.

  • You will be given wide authority to develop creative model-based solutions but will also be held to high quality and accountability standards.

  • You will mentor and train more junior team members and serve as a go-to expert in your area of statistics and machine learning.

  • Thoroughly and diligently document the model design, experiments, tests, validations, and live metrics and outcomes. You may be asked to write documents for use in the preparation of intellectual property and technical publications.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering (Mathematics/Physics), Information Systems, or related field.

  • 8+ years’ industry/academia experience in Data Science.

Preferred Qualifications

  • M.S. or Ph.D. in Computer Science, Engineering (Mathematics/Physics), Information Systems, or related field.

  • Deep grounding in machine learning techniques including regression methods, classification, Neural Networks, Deep Learning, as well as knowledge of clustering and unsupervised learning, time series forecasting and optimization methods.

  • Knowledge and experience in developing RAG systems using Azure or other platforms. Integrate with LLMs for improved performance.

  • Rigorous academic or experiential knowledge of the mathematical essentials for Data Science.

  • Develop and maintain a web portal for user interaction.

  • Technical experience in building intelligent data products, prediction models and recommendation engines using ML/AI.

  • Solid foundation with development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and deployment of models.

  • Proficient with programming in Python, and other languages such as R, Java, and C++. Excellent skills and deep knowledge in Python and object-oriented programming is a must, including common Python libraries.

  • Hands-on experience handling large and distributed datasets.

  • Strong database skills and experience, including experience with SQL programming.

  • Experience with Azure or other cloud-based tools and technologies for data pipelining, model development, and deployment.

  • Excellent skills in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies.

  • Experienced in database design and architecture principles and strong SQL abilities.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:  www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.

     

The base pay for this position is

$125,700.00 – $251,500.00

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:

Research and Discovery

     

DIVISION:

ID Infectious Disease

        

LOCATION:

United States > San Diego : 4545 Towne Center Court

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Not specified

     

MEDICAL SURVEILLANCE:

No

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

     

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

     

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

     

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
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Tags: Architecture Azure Classification Clustering Computer Science Data Analytics Databricks Deep Learning Engineering Feature engineering Java LLMs Machine Learning Mathematics ML models Model design OOP Physics Python R RAG R&D Research Security Spark SQL Statistics Testing Unsupervised Learning

Perks/benefits: Career development Health care Team events Wellness

Region: North America
Country: United States

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