Senior Postmarket Data Scientist: Analytics for Diabetes

Abbott

Alameda (CA)

On-site

USD 90,000 - 180,000

Full time

14 days+
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Job summary

Abbott in Alameda, CA is seeking a data scientist to analyze data, derive insights, and communicate results to stakeholders in a clear, actionable way. The role focuses on collecting, cleaning, and analyzing large datasets using Python, SQL, PowerBI, and Databricks to support diabetes care products and decision-making.

The ideal candidate has 4+ years of relevant experience, strong statistics, and business acumen.

Qualifications

  • Bachelor's Degree in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering
  • Minimum of 4 years of relevant work experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree
  • Advanced Experience with programming scripts such as Python, SQL, PowerBI, Databricks
  • Experience in applying data analysis techniques to a large set of data using big data systems
  • Advanced analytics knowledge and application in the field of Statistics
  • Mathematical programming
  • Business acumen and experience with operational or strategic systems

Responsibilities

  • Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client
  • Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
  • Prepare both structured and unstructured data for analysis
  • Examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client
  • Conduct advanced statistical analysis to determine trends and significant data relationships
  • Validate models/analytical techniques, and develop algorithms to execute analytical functions
  • Work with stakeholders to define business questions, requirements, timelines, objectives, and success criteria
  • Identify opportunities for significant operational, process or system level product improvements
  • Communicate model logic and restrictions
  • Work closely with the business to understand the domain and iteratively refine analyses
  • Transform analytical results into actionable recommendations for business partners
  • Coach and mentor junior data scientists and provide technical/analytical guidance
  • Contributes to developing departmental and site processes and procedures
  • Guide and contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics

Skills

Python
SQL
PowerBI
Databricks
Statistics
Mathematical programming
Business acumen

Education

Bachelor's degree in Computer Science or related field
Advanced degree in Life or Physical Science / Bioengineering / Biomedical Engineering (preferred)

Tools

Databricks

Job description

Abbott in Alameda, CA is seeking a data scientist to analyze data, derive insights, and communicate results to stakeholders in a clear, actionable way. The role focuses on collecting, cleaning, and analyzing large datasets using Python, SQL, PowerBI, and Databricks to support diabetes care products and decision-making.

The ideal candidate has 4+ years of relevant experience, strong statistics, and business acumen.

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