Principal Postmarket Monitoring Data Scientist
United States - Alameda : 1360-1380 South Loop Road, United States
Full Time Senior-level / Expert USD 112K - 224K
Abbott
Innovative medical devices and health care solutions for cardiovascular health, diabetes management, diagnostic testing, nutrition, chronic pain and more.
JOB DESCRIPTION:
Principal Post Market Monitoring Data Scientist
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
Principal Post Market Monitoring Data Scientist works as integral part of Post Market Surveillance Data Analytics team and 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.
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 with minimum 4 yrs experience in applying data analysis techniques to a large set of data using big data Experience in working in Azure, Databrick, Redshift
- Business acumen and experience with operational or strategic systems.
Preferred Qualifications
- Advanced Experience with programming scripts such as Python, R, SQL, PowerBI strongly preferred.
- Advanced analytics knowledge and application in the field of: Statistics, Mathematical programming also strongly preferred.
- Prior experience in complaints, customer, capital service and/or clinical analytics is preferred.
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.
Divisional Information
Medical Devices
General Medical Devices:
Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.
Diabetes
We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.
The base pay for this position is
$112,000.00 – $224,000.00In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Research and Discovery
DIVISION:
ADC Diabetes Care
LOCATION:
United States > Alameda : 1360-1380 South Loop Road
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), 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
Tags: Azure Big Data Clustering Data analysis Data Analytics EDA Machine Learning ML models Open Source Power BI Python R Redshift Research Security SQL Statistics Unstructured data
Perks/benefits: Career development Health care Wellness
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