Senior Data Scientist

Abbott Laboratories
Austin, TX, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$78,000.0 - $156,000.0
Working hours
Regular working hours
Languages
Cree
Job source

Tech stack

Microsoft Excel Data Analysis Extract Transform Load (ETL) Python (Programming Language) Machine Learning NumPy Power BI Standard Sql SQL Databases Pandas Information Technology Tools for Reporting
+1 more
Custom Reports

Job description

Abbott currently has an opportunity for a Sr. Da Analyst. The Sr. Da Analyst will support and lead various analytical projects to deliver commercial solutions for Cardiac Rhythm Management organizion. The candide will be responsible for working on complex problems in the field of life-saving implantable medical devices. The candide will use da analytics and da science methods to provide solutions to a wide range of challenging commercial projects. As a key leader on the team, the candide will develop solutions to cure and analyze large quantities of medical da. The candide will work on projects th provide solutions to internal and external stakeholders. The candide will present solutions and insights in concise and effective manner to technical and non-technical audiences.

  • Develop, plan, coordine and direct da analytics and visualizion projects (of medium to advanced complexity) th are of major scope and importance. Manage multiple, often concurrent projects and meet expections.
  • Understand medical device business needs and articule these needs to other stakeholders. Assure th da science projects effectively address businesses’ long and short-term business goals.
  • Communice complex analytical results to internal and external audiences, including senior management. Prepare and present written and oral reports. Adjust presention style and content to suit the audience.
  • Interact well with diverse groups and maintain strong working relionships with internal and external collaborors. Listen to and understand others’ points of view and articule tactfully and respectfully one’s own and others’ perspectives orally, in writing, and in presentions.
  • Interface with senior management on significant mters, often requiring the coordinion of activity across organizional units.

Requirements

  • 5+ Years hands-on experience in Da Analytics or Da Science role
  • Bachelor’s degree in Engineering, Da Analytics, Da Science, Stistics or reled STEM field
  • Cree complex dashboards and visualizions of commercial da using Power BI to identify trends and provide key business insights to leaders across different teams
  • Advanced Excel and analytical skills required. Use of Excel for da manipulion and complex custom reports
  • Proficiency in SQL, Python, or other common analytics and reporting tools (e.g., Pandas, NumPy, visualizion libraries).
  • Ability to work within a team and as an individual contributor in a fast-paced, changing environment.
  • Ability to leverage and/or engage others to accomplish projects. Strong verbal and written communicions with ability to effectively communice multiple levels in the organizion.

Preferred Qualificions:

  • Master’s degree in quantitive discipline, such as computer science, engineering, da science, bioinformics, stistics, mhemics, machine learning or reled field.
  • Proficient in da warehousing, da modeling, ETL and SQL
  • In-depth knowledge of contemporary machine learning, ptern recognition and damining techniques.
  • Apply scientific knowledge on da modeling, da analytics, predictive algorithms, prescriptive algorithms and other da science principles to cree concepts, develop prototypes, and genere insights from commercial da
  • Demonstred leadership experience, including problem-solving, conflict resolution, project planning, and execution. Excellent interpersonal skills and documented success in a team working environment.
  • Experience with big-da architecture, opering systems, and tools for big-da analytics
  • Proven success in the ability to work in cross-functional teams to meet clearly defined objectives th benefit the Company and the customer.

Benefits & conditions

The base pay for this position is $78,000.00 - $156,000.00. In specific locions, the pay range may vary from the range posted.

About the company

Abbott is a global healthcare leader th helps people live more fully 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.

Working Abbott

At Abbott, you can do work th mters, 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 internional 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 educion benefit - an affordable and convenient ph to getting a bachelor’s degree.
  • A company recognized as a gre 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 th 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 Da Scientist position works out of our Austin, TX locion in the Cardiac Rhythm Management Division.

As a global leader in Cardiac Rhythm Technologies, we focus on innovive technologies th can improve the way doctors tre heart arrhythmias or irregular heartbes.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on craigslist.org

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · WWC 2024

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · WWC Europe 2026

Videos

See all

Related articles

See all