Senior 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 115,000 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 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 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 around the world 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 a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

The Senior Data Scientist position works out of our Austin, TX location in the Cardiac Rhythm Management Division.

As a global leader in Cardiac Rhythm Technologies, we focus on innovative technologies that can improve the way doctors treat heart arrhythmias or irregular heartbeats.

What You'll Work On

Abbott currently has an opportunity for a Sr. Data Scientist.   The Sr. Data Scientist will support and lead various data science projects to deliver commercial solutions for Cardiac Rhythm Management organization. The candidate will be responsible for working on complex problems in the field of life-saving implantable medical devices. The candidate will use machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques to provide analytics solutions to a wide range of challenging projects.  As a key leader on the team, the candidate will develop solutions to curate and analyze large quantities of medical data.  The candidate will work on projects that provide solutions to internal and external stakeholders.  The candidate will present solutions and insights in concise and effective manner to technical and non-technical audiences.

• Develop, plan, coordinate and direct data science projects (of medium to advanced complexity) that are of major scope and importance. Manage multiple, often concurrent projects and meet expectations.
• Understand medical device business needs and articulate these needs to other stakeholders. Assure that data science projects effectively address businesses’ long and short-term business goals.
• Communicate data science results to internal and external audiences, including senior management. Prepare and present written and oral reports. Adjust presentation style and content to suit the audience.
• Interact well with diverse groups and maintain strong working relationships with internal and external collaborators. Listen to and understand others’ points of view and articulate tactfully and respectfully one’s own and others’ perspectives orally, in writing, and in presentations.
• Interface with senior management on significant matters, often requiring the coordination of activity across organizational units.

Location

• Austin, TX

Education and experience you’ll bring

• 4+ years of relevant experience
• Bachelor’s Degree in a related field
• In-depth knowledge of contemporary machine learning, pattern recognition and data-mining techniques.
• Apply scientific knowledge on data modeling, data analytics, predictive algorithms, prescriptive algorithms and other data science principles to create concepts, develop prototypes, and generate insights from commercial data
• Analytical skills with a solid foundation in programming (R, SAS, Python, SQL, NoSQL, PostgreSQL) and data/database design
• Create dashboards and visualizations of commercial data using Power BI to identify trends and provide key business insights to leaders across different teams
• Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results.

Preferred Qualifications:

• Master’s degree in quantitative discipline, such as computer science, engineering, data science, bioinformatics, statistics, mathematics, machine learning or related field.
• Proficient in data warehousing, data modeling, ETL and SQL
• Prior experience or working knowledge with one or more of the following tools and technologies: Spark, Clojure, Hive, Pig, Redshift
• Experience with big-data architecture, operating systems, and tools for big-data analytics
• Uses in-depth knowledge of business unit functions and cross group dependencies/ relationships.
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors.
• Has broad knowledge of various technical alternatives and their potential impact on the business.

     

The base pay for this position is

$78,000.00 – $156,000.00

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

     

JOB FAMILY:

IT Services & Solutions Delivery

     

DIVISION:

CRM Cardiac Rhythm Management

        

LOCATION:

United States > Austin : 8701 Bee Caves Rd

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Yes, 5 % of the Time

     

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