Data Science Senior Manager
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 and publications.
- Develop team processes, prioritize data science work, develop team roadmaps and deliverables, and provide hands on coaching and review of work performed by team.
Qualifications:
- 8+ years of relevant experience in the data science in a relevant industrial or academic setting. Preferred experience working on consumer facing algorithms
- Advanced degree in data science, analytics, biomedical, bioengineering, or relevant, is preferred.
- Possesses a deep understanding of data science methodologies and concepts.
- Excellent skills and deep knowledge in Python and object-oriented programming is a must, including common Python libraries.
- Strong hands-on experience and expertise in large-set data analysis.
- Proficient with Statistical analysis and A/B testing experience.
- Excellent skills in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies.
- Experienced in database design and architecture principles and strong SQL abilities.
- Strong problem-solving and critical thinking skills. Capable of independently driving issues to resolution. A high degree of curiosity and creativity.
- Excellent communication, presentation and organizational skills.
- 3+years being a people manager
- Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.
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 and @AbbottGlobal.
The base pay for this position is $144,100.00 – $288,300.00. In specific locations, the pay range may vary from the range posted.