Sr. 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 114,000 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 .
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
• 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.

About Lingo

Meet Lingo, a new biosensing technology that provides users a window into their body. Lingo tracks key biomarkers – such as glucose, ketones, and lactate – to help people make better decisions about their health and nutrition. Biowearable technology will digitize, decentralize and democratize healthcare, enabling consumers to take control of their own health.

The opportunity

Personalized healthcare is the future. Working on Lingo, you will help build a next-generation technology that enables individuals to make decisions about how to improve energy, lose weight or enhance athletic performance. The Lingo team embodies a start-up culture and mindset with the backing of Abbott, a company with a rich history of healthcare innovation. Join us and grow your career as you help Abbott shape the future of healthcare.

This position works out of our Alameda, CA location in Lingo.

You will apply your strong expertise in artificial intelligence by using machine learning to design, prototype, and build next-generation advanced analytics engines and services. You will work closely with software engineers, data architects, designers, and product owners and develop predictive models using machine learning and other advanced analytics tools to increase and optimize customer experience, revenue generation, prospect targeting, and other business outcomes.

What you’ll do

• Work within an agile team in a dynamic, fast-moving, collaborative environment and design complex analytics models and algorithms that drive analytical solutions throughout the organization

• Develop data and model pipelines with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies

• Analyze large amounts of data to discover trends and patterns, and build analytics models

• Ensure the highest level of data accessibility, security, and quality at all stages; create automated anomaly detection systems and monitor their performance and model drift

• Effectively communicate complex ideas and results to both technical and business/executive audiences

• Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance

• Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytics data products

Qualifications

• 8+ years of relevant experience in the data science/analytics space

• Strong expertise in Python and/or R as well as proficiency in writing complex SQL queries

• Proficiency in using machine learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale data sets

• Strong hands-on experience and expertise in one or more big data technologies, i.e., Hadoop, Spark, H20.ai, cloud AI platforms, containerization

• Experience supporting deployment, monitoring, maintenance, and enhancement of analytics models

• Up-to-date on industry trends within the analytics space from a data acquisition processing, engineering, and management pe