Data Scientist, Insights

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

As a Data Scientist for Verily, you will work cross-functionally with Verily's clinical, software and science teams to create algorithms and methods for analyzing digital biomarkers as well as clinical data. These efforts combine wearable sensing with traditional clinical tests and health outcomes in an effort to change the way various diseases are understood and treated. You will apply your skills to derive insights by developing analytic methods applicable to large, diverse and complex data sets, often derived from noncontrolled real-world settings. You will deliver key analyses for motivating product direction, build reusable analysis tools and work closely with software engineers, product managers and clinicians to deliver user-facing products. You will bring analytical rigor, as well as machine learning and statistical methods to create models and inferences on both population and individual levels. You will leverage the latest information from the scientific literature and evolving guidance from the clinical community and Verily SME’s.

Responsibilities

• Work with large and complex data sets to solve difficult, non-routine analysis problems using a combination of statistical and machine learning approaches.
• Develop quality control and pre-processing tools for a variety of data streams.
• Iterate on and build predictive as well as descriptive models of individual-level and population-level health and disease from large datasets, such as Project Baseline data and related data sources.
• Communicate highly technical results and methods clearly, as well as, interact cross-functionally with a wide variety of internal and external people and teams.

Qualifications

Minimum qualifications:

• PhD degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics, biomedical engineering, or similar) or equivalent practical experience.
• Experience with Python.
• Experience extracting and cleaning data sets.
• Experience with exploratory and statistical data analysis (such as linear models, multivariate analysis, predictive modeling, and stochastic models).

Preferred qualifications:

• Experience with the analysis of observational clinical/medical/health data.
• Familiarity with software engineering practices and experience developing production software.
• Demonstrated willingness to both teach others and learn new techniques.
• 1 year of relevant work experience (i.e., as a statistician, data scientist, etc.), including deep expertise and experience with statistical data analysis.