Company:
Abbott Laboratories
Location: Alameda
Closing Date: 25/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
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.
Interested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improving the lives of people with diabetes? The candidate will be responsible for collecting, cleaning, massaging and analysis of big data. The role will also contribute to defining and implementing Big Data Strategy for the organization along with driving the implementation of IT solutions for the business. The candidate will be working on a big data team to focus on applying data engineering, data science and machine learning approaches to solve business problems.
As a Data Scientist, you will play a crucial role in shaping our data-driven strategies and contributing to the success of our Big Data initiatives at ADC. You will be responsible for designing, developing and deploying advanced data science solutions to uncover customer, product and operational insights from complex datasets. Candidate should be able to work on a geographically distributed team. Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques.
The ideal candidate should have rigorous analytical, ML and AI capabilities and a pragmatic mindset to help solve our most complex business problems. Highly sought-after qualities include versatility and a desire to continuously learn, improve and empower other team members.
Responsibilities
Data Analysis and Modeling:
Craft and maintain data infrastructure with the Data Engineering team by translating business requirements from business partners to data models that will enable reporting, dashboards and segmentation
Proactively analyze data and trends to provide insights and recommendations that drive business strategies
Machine Learning and Statistical Analysis:
Build and validate predictive models using appropriate machine learning algorithms
Evaluate and optimize models for accuracy and performance
Data Visualization:
Create and maintain dashboards and reports using data visualization tools to communicate findings and insights to technical and non-technical stakeholders
Data Optimization:
Continuously monitor and improve data quality, accuracy and efficiency of data processes, including data cleaning and transformation
Define and maintain a central source of truth and normalizing data
Data Security:
Contribute to data security and confidentiality by maintaining appropriate access controls, encryption and backup procedures
Team Collaboration:
Collaborate with cross-functional teams including R&D, Global Strategic Marketing, Quality, etc. to identify data needs and provide data-driven solutions
Training and Development:
Provide training and support to team and business partners to enhance data literacy
Innovate:
Stay updated with the latest developments in data science and machine learning to continually improve data analysis methodologies and techniques
Identify opportunities for innovation and propose data-driven solutions
Documentation:
Maintain comprehensive documentation of data analysis processes, methodologies and findings
Required Qualifications
Bachelor’s Degree in Data Science, Computer Science, Statistics or a related field plus at least 6 to10 years of recent experience
Experience with data exploration, data cleaning, data analysis, data visualization and data mining, preferably in the medical device or healthcare industry
Strong knowledge of machine learning algorithms, statistical techniques and data visualization
Knowledge of or direct experience with Databricks and/or Apache Spark
Programming language and tool experience, ideally in Python, R, Scala and SQL plus a willingness to learn new software development languages to meet goals and objectives
Experience with data visualization tools (e.g., Databricks, QuickSight, Power BI)
Strong knowledge of data governance principles, data integration, data warehousing and ETL processes
Familiarity with data privacy and security regulations, such as HIPAA and GDPR
Ability to work collaboratively in a fast-paced, cross-functional team environment
Excellent communication and presentation skills with the ability to translate technical findings into actionable insights for non-technical stakeholders
Comfortable working asynchronously with a distributed team
Preferred Qualifications
Master’s Degree or Ph.D. in Data Science, Computer Science, Statistics or a related field.
Experience working in an agile environment
The base pay for this position is $(phone number removed) – $(phone number removed). In specific locations, the pay range may vary from the range posted.
Interested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improving the lives of people with diabetes? The candidate will be responsible for collecting, cleaning, massaging and analysis of big data. The role will also contribute to defining and implementing Big Data Strategy for the organization along with driving the implementation of IT solutions for the business. The candidate will be working on a big data team to focus on applying data engineering, data science and machine learning approaches to solve business problems.
As a Data Scientist, you will play a crucial role in shaping our data-driven strategies and contributing to the success of our Big Data initiatives at ADC. You will be responsible for designing, developing and deploying advanced data science solutions to uncover customer, product and operational insights from complex datasets. Candidate should be able to work on a geographically distributed team. Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques.
The ideal candidate should have rigorous analytical, ML and AI capabilities and a pragmatic mindset to help solve our most complex business problems. Highly sought-after qualities include versatility and a desire to continuously learn, improve and empower other team members.
Responsibilities
Data Analysis and Modeling:
Craft and maintain data infrastructure with the Data Engineering team by translating business requirements from business partners to data models that will enable reporting, dashboards and segmentation
Proactively analyze data and trends to provide insights and recommendations that drive business strategies
Machine Learning and Statistical Analysis:
Build and validate predictive models using appropriate machine learning algorithms
Evaluate and optimize models for accuracy and performance
Data Visualization:
Create and maintain dashboards and reports using data visualization tools to communicate findings and insights to technical and non-technical stakeholders
Data Optimization:
Continuously monitor and improve data quality, accuracy and efficiency of data processes, including data cleaning and transformation
Define and maintain a central source of truth and normalizing data
Data Security:
Contribute to data security and confidentiality by maintaining appropriate access controls, encryption and backup procedures
Team Collaboration:
Collaborate with cross-functional teams including R&D, Global Strategic Marketing, Quality, etc. to identify data needs and provide data-driven solutions
Training and Development:
Provide training and support to team and business partners to enhance data literacy
Innovate:
Stay updated with the latest developments in data science and machine learning to continually improve data analysis methodologies and techniques
Identify opportunities for innovation and propose data-driven solutions
Documentation:
Maintain comprehensive documentation of data analysis processes, methodologies and findings
Required Qualifications
Bachelor’s Degree in Data Science, Computer Science, Statistics or a related field plus at least 6 to10 years of recent experience
Experience with data exploration, data cleaning, data analysis, data visualization and data mining, preferably in the medical device or healthcare industry
Strong knowledge of machine learning algorithms, statistical techniques and data visualization
Knowledge of or direct experience with Databricks and/or Apache Spark
Programming language and tool experience, ideally in Python, R, Scala and SQL plus a willingness to learn new software development languages to meet goals and objectives
Experience with data visualization tools (e.g., Databricks, QuickSight, Power BI)
Strong knowledge of data governance principles, data integration, data warehousing and ETL processes
Familiarity with data privacy and security regulations, such as HIPAA and GDPR
Ability to work collaboratively in a fast-paced, cross-functional team environment
Excellent communication and presentation skills with the ability to translate technical findings into actionable insights for non-technical stakeholders
Comfortable working asynchronously with a distributed team
Preferred Qualifications
Master’s Degree or Ph.D. in Data Science, Computer Science, Statistics or a related field.
Experience working in an agile environment
The base pay for this position is $(phone number removed) – $(phone number removed). In specific locations, the pay range may vary from the range posted.
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