Data Science Senior Manager

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:

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.

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.

The opportunity

We are seeking a  Data Science Manager for Lingo based in our Alameda, CA (San Francisco Bay Area), our product headquarters.

This highly visible role, will lead the Lingo Data Science team where you will work alongside Product & Engineering teams to build the next-generation Biowearables. Data Science activities will focus on a wide range of activities including personalized recommendation systems, sensor data analytics, signal processing algorithm development, predictive model development, etc.

 What you'll do

• Manage a team of highly skilled data scientists to accomplish team goals.

• Hands on support to develop machine learning models to solve clustering, classification, regression, simulation, and optimization problems on large-scale data sets to deliver a personalized customer experience.

• Analyze biological data collected from integrated consumer and/or medical biowearable sensor systems, draw insights, and present results in a cohesive, intuitive, and simple manner to functional stakeholders.

• Analyze and manage large amounts of structured and/or unstructured data to discover trends and patterns, and build analytics models. Apply visualization, analytical and data mining techniques.

• 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.

• Conduct advanced statistical analysis to determine trends and significant data relationships. ANOVA, PCA, scenario, regression, modeling, forecasting and etc.

• Design and develop signal processing algorithm for the biological signal feature detection and metrics calculation. Generate clinical evidence to support Consumer App design and product launch.

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

• Develop predictive models using machine learning and similar advanced tools to design, prototype, and build next-generation advanced analytics engines and services, which ultimately optimizes customer experience and increases business outcomes.

• Work closely with the functional stakeholders to understand the domain and iteratively refine analyses. Drive business solution with data analytics results.

• Work on team with doctors, scientists, data scientists and engineers to prepare scientific conference presentations a