Data Scientist

We are looking for a Data Scientist! The Data Scientist harnesses the largest pediatric healthcare dataset in the nation to deliver analytics, insights, and solutions that help us create a healthier future for our global community. The individual in this role delivers data analytics and supports the development and implementation of advanced analytic tools to meet the needs of teams throughout the organization. Works with a multidisciplinary team to design, develop, and
create analytical solutions through applications of data mining, machine learning, artificial intelligence (AI), and emerging technologies. Collaborates with clinical, business, and information systems team members to ideate and create new analytic.
solutions impacting patient care and hospital operations. Partners with subject matter experts to understand the relationship between workflows and data, and uses that data to create innovative solutions that support and advance targeted outcomes.
Exercises knowledge of descriptive, predictive, and multivariate statistical techniques and applications, and database analysis tools and techniques, to develop strategic insights to drive operational and clinical goals.
Teaches developers, architects and analysts how to work effectively with vast quantities of data.
The Data Scientist provides data science and statistical support for advanced analytics projects at Texas Children's Hospital. Analyzes and interprets clinical, operational, and other data to provide insight into care delivery and operational initiatives. Responsible for
evaluating data quality, preparing data, generating insights, and developing and presenting high-impact data stories. Serves as a subject matter expert associated with data analysis processes, advanced analytics techniques, statistics, and meaningful.
data visualizations. Provides consultation and support in the development, analysis, interpretation, and management of a variety of complex data sources. Works on multiple concurrent projects.
Think you've got what it takes?
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Creates data models and generates data insights.
- Designs, develops, and creates advanced analytical solutions.
- Communicates data insights and acts as a data storyteller by translating data analyses into
- Provides statistical consultation.
- Plans, communicates, and manages risk related to tasks.
- Participates in overall analytics and application support delivery activities.

Knowledge and Skills
Ability to manage multiple projects simultaneously to meet objectives and deadlines
Strong communication skills with both technical and non-technical colleagues
Rounded business skills with the ability to understand customer business needs
Ability to analyze large amounts of structured and unstructured data and determine suitability for modeling
Must be organized, have an eye for detail, and be able to put ideas into a tangible form
Exhibits high levels of learning agility in which they seek out and learn from unfamiliar experiences and then apply those lessons to succeed in the next new situation
Ability to make sense of uncertainty, work creatively and analytically in a problem-solving environment, and find a solution when requirements are not clear
Broad understanding and demonstrated history of applying various algorithms to business use cases to drive business and customer value
Strong modeling foundation, ability to develop and interpret, hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, anomaly detection, visual
analytics, and natural language processing
Knowledge of basic and advanced statistical methods
Expertise in modern advanced analytical tools and programming languages, such as Python, R, Scala, SAS, or SPSS
Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Experience utilizing relational, SQL, and noSQL databases
Experience developing predictive and/or prescriptive models
Preferred experience with Natural Language Processing
Preferred experience with API design, build and implementation
Preferred experience with Microsoft Azure
Preferred experience with Deep Learning tools such as TensorFlow
Preferred experience or exposure to the healthcare industry
Preferred knowledge of applicable data privacy practices and laws
Preferred project management experience - Agile - Scrum, KANBAN
QUALIFICATIONS
Being fully vaccinated against COVID-19, including any booster dose(s) of the COVID-19 vaccine recommended by the Centers for Disease Control when eligible, is required for all employees at Texas Children's, unless approved for a medical or religious exemption.

Education:
- Master's Degree [Data science, mathematics, computer science, statistics, engineering, analytics, life sciences, economics, finance, business or a specific healthcare field (such as nursing, pharmacy, respiratory, etc.)]
- Ph.D. preferred

Experience
- 3 years' experience in data science, data analytics, business analysis, data modeling, statistical analysis, statistical modeling, or machine learning
Additional Experience
A PhD may substitute for 2 years of experience.