Staff Data Scientist

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

This position works out of our Plymouth, MN location in the SH division.

Structural Heart Business Mission: Why We Exist.

Our business purpose is to restore health and improve quality of life by designing and providing device and management solutions for treating structural heart disease.

As the Staff Data Scientist, you'll work as an integral part of the Structural Heart Supply Chain Analytics team and is responsible for analyzing data, drawing insights, and presenting results in a cohesive, intuitive, and simple manner to the functional stakeholders utilizing technologies to collect, clean, analyze, predict, and effectively communicate insights. Key functional stakeholders include Site Supply Chain Leaders, Supply and Demand Planning, Category Management, Operations and Finance.

What You’ll Work On

• Analyze data, draw insights, and present results in a cohesive, intuitive, and simple manner to functional stakeholder.
• Utilize technologies to collect, clean, analyze, predict, and effectively communicate insights such as model logic and restrictions.
• Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and proactively identifies opportunities for significant operational, process or system level product improvements for the business partner.
• Conduct advanced statistical analysis to determine trends and significant data relationships.
• Develop machine learning models to apply test data algorithms to future data.
• Validate models/analytical techniques, and develop algorithms to execute analytical functions.
• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
• Work closely with the functional stakeholders to understand the domain and iteratively refine analyses.
• Provide learning and educational pathways for team members.
• Provides input into developing departmental and site processes and procedures.
• Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.
• Independently manages and consults in multiple complex projects working with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address needs.
• Experience in creating and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization, unstructured data analysis, and neural networks.
• Researches and adapts existing open-source algorithms when possible, and develops novel techniques when needed.

Required Qualifications

• Bachelors Degree (± 16 years) In Industrial Engineering, Supply Chain Management, Information Systems, or other technical disciplines or an equivalent combination of education and work experience.
• Masters Degree (± 18 years) preferred.
• 4-6 years’ work-related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree.

• Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, or R.

• Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software.

• Advanced analytics knowledge and application in the field of: Statistics, Mathematical programming.

• Excellent analytical and communication skills. Proven ability to work cross-functionally.

• Demonstrated ability to collaborate with numerous functions (Sales/Marketing, Supply Chain, Finance) and build consensus across functional, business unit, and geographic boundaries. Excellent communication abilities at all levels of the organization.

• Demonstrated proficiency in developing and designing business intelligence tools such as Power BI.

• Demonstrated proficiency in automating and streamlining business processes with tools such as Power Automate or Power Query.

• Demonstrated proficiency in Microsoft Excel and Powerpoint.

• Prior experience in customer, capital service and/or clinical analytics is preferred.

Apply Now

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

$97,300.00 – $194,700.00

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

     

JOB FAMILY:

Research and Discovery

     

DIVISION:

SH Structural Heart

        

LOCATION:

United States > Minnesota > Plymouth : 5050 Nathan Lane N

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

No

     

MEDICAL SURVEILLANCE:

No

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing 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