Sr Data Scientist I

Tandem Diabetes Care

8d•Hybrid

About The Position

A Sr. Data Scientist at Tandem uses machine learning and data science to improve Tandem’s ability to simulate physiology, design algorithms to manage diabetes, and assist with product-related decisions. This team member will use Tandem’s data assets to solve data-driven problems, improve operational efficiency through forecasting and automation, identify and prioritize opportunities to improve overall user experience, and improve business outcomes.

Requirements

Bachelor’s degree in computer science, statistics, or other quantitative discipline or related field or equivalent combination of education and applicable job experience.
5 years of related experience in data science.
Ability to travel up to 10%, including international travel.
Advanced knowledge of data science techniques: distribution fitting, multivariate statistics, stochastic modeling, time series modeling, design of experiments, Monte Carlo methods, robust statistics, sampling, segmentation, clustering, hypothesis testing, regression, forecasting, machine learning.
Experience deploying machine learning models using cloud platforms.
Programming skills in Python, or similar programming languages.
Skilled with data visualization: quickly and effectively “tell the data story;” draw from a large portfolio of visualization techniques to bring salient points forward to stakeholders for whom statistics may not be a core competency.
Ability to deliver actionable results in a collaborative environment.
Excellent pragmatic and data-driven problem-solving skills.
Strong attention to detail.
Demonstrated ability to learn and grow new skills.
Ability to think strategically and apply data science to develop offerings that provide unique differentiation.
Ability to diagnose problems and identify and implement appropriate solutions.
Capable of managing multiple priorities effectively, estimating project timelines and identifying and recommending the best course of action from several alternatives.
Excellent verbal and written communication skills and flexibility to function in a fast-paced and innovative environment.

Nice To Haves

Graduate education in a relevant field is preferred.
Familiarity with big data technology (e.g., Hadoop, Spark), software engineering experience, and diabetes knowledge are a plus.

Responsibilities

Participates in creating future closed-loop algorithms using complex data modeling.
Performs analysis of algorithms to satisfy requests from the FDA.
Identifies meaningful insights from large data sources; interprets and communicates insights and findings from analyses and experiments to product, service, and business stakeholders.
Uses data to provide unique insights and differentiated experiences for Tandem’s customers.
Supports the team in the development and/or implementation of data products or models.
Provides mentoring, training, and guidance to team members with less experience in data science, diabetes technology, and custom tools designed and used by the Algorithms and Insights Group.
Provides technical leadership and subject matter expertise in data science, including statistics, modeling, machine learning, and AI.
Collaborates and coordinates efforts with Tandem’s academic partners.
Attends industry and academic conferences to keep up to date with the state of technology.