Data Scientist II

  • HCA
  • Nashville, TN, USA
  • Jun 29, 2019
Data Management/Analysis

Job Description

Description
SHIFT: No Weekends

SCHEDULE: Full-time

Are you looking for a company that places integrity over their bottom line? Here at HCA Healthcare, our everyday decisions are founded on compassion. Apply today and join a team that is dedicated to serving others in need.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


About HCA Healthcare


HCA Healthcare is a comprehensive healthcare network where 265,000 people across more than 1,800 care facilities are all committed to creating a positive impact every day. It's an organization that exists to give people healthier tomorrows. Our scale enables caregivers to deliver great outcomes for patients and gives colleagues unparalleled opportunities to learn and grow. Most importantly, as a part of HCA Healthcare we're connected to something bigger, which means more resources, more solutions and more possibilities for everyone who walks through our doors. What matters most to our diverse and talented colleagues is giving people the absolute best healthcare possible. Every day, we seek to raise the bar higher, not just for ourselves, but for healthcare everywhere.

About CSG

The Clinical Services Group (CSG) is a multi-disciplinary team of physicians, nurses, clinicians, technicians and analysts who represent all dimensions of a learning healthcare system. CSG works in support of HCA Healthcare Divisions and Facilities to promote clinically-excellent, patient-centered care. We foster collaborative and innovative practices to resolve complex clinical issues. As the healthcare landscape continues to change, CSG will remain at the forefront of developing new strategies, tools and tactics to fulfill HCA Healthcare's mission.

BENEFITS:

We offer you an excellent total compensation package, including competitive salary, excellent benefit package and growth opportunities. We believe in our team and your ability to do excellent work with us. Your benefits include 401k, PTO medical, dental, flex spending, life, disability, tuition reimbursement, employee discount program, employee stock purchase program and student loan repayment. We would love to talk to you about this fantastic opportunity.

Data Science is a new function within CDM focusing on utilizing our data resources to improve the clinical and operating performance of HCA. This team is focused on identifying such opportunities and working with the wider organization to operationalize them. Data Scientist II is the level position in this specialty intended for an individual of 3+ years' experience.

The role of the data scientist is to use mathematics, programming and visualization to discover, in partnership with the business, opportunities and insights arising from HCA data systems. This role is firmly customer facing, with an expectation of constant contact, communication and iteration with both clinical and business customers to define questions, explore solutions and present results. As such the data scientist must be comfortable and capable of clearly communicating the nature and results of complex analytics to non-technical users in written, spoken and visual means.

On the technical front the data scientist must be comfortable with 'data wrangling'. That is, the ability to identify, and extract raw data from primary transactions systems such as databases. Thereafter they must possess basic skills in programming to manage, transform and integrate with other datasets, in preparation for analytics. Typically this is performed in scripting languages such as Python.

The analytic skills required are based principally in machine learning and statistics. The data scientist must have a working knowledge of regression and classification techniques such as logistic regression, boosting, SVM and neural networks. Moreover, the data scientist must understand the scientific process of hypothesis generation and testing, in particular data oriented discovery methodologies such as cross validation. Typically, these functions are performed in a mathematical environment such as R, MATLAB or SAS, proficiency with which is assumed.

Duties and Responsibilities

  • Ensure a standardized and consistent approach relating to CDM participation and implementation in all phases of the data science life cycle.
  • Partners with colleagues and customers to achieve meaningful discussions regarding data outputs and feedback on usage activities to improve CDM output.
  • Can extract data from primary sources reliably. Familiar with some HCA data architectures.
  • Broaden skillset from initial to complementary: developers will hone skills in the basics of statistics/machine learning and statisticians will hone skills in programming and databases.
  • Develop expertise in working with clinical, operational and financial data.
  • Participate in team code reviews and testing.
  • Write and test software in a variety of languages and platforms to rapidly reach solutions.
  • Design and execution of unit and system tests.
  • Holds discussions and prepares materials for colleagues and superiors. Leads debate and problem solving. Builds consensus.
  • Forms discussions groups and leads meetings on topics. Encourages and seeks out opinions within and beyond team.
  • Uses formal methodologies to understand and solve complex problems.
  • Determines root causes, and applies the scientific method to test, validate and reformulate hypotheses. Forms recommendations.
  • Treats change and new situations as opportunities for learning or growth.
  • Focuses on the beneficial aspects of change and speaks positively about the change to others.
  • Tries to understand changes in work tasks, situations, and environment as well as the logic or basis for change.
  • Demonstrates the ability to help others adapt to change and to personally adapt to various work environments.
  • Member of professional/community group related to data science and maintains strong internal and external network of peers.
  • Compares and synthesizes multiple sources, bearing accuracy, omission and error in mind.
  • Escalate to and collaborate with Data Science Manager on program issues and risks to identify solutions.
  • Other duties assigned as necessary, to support CSG, Data & Analytics.
Qualifications

  • Strong analytical and technical skills with ability to analyze issues, assess technical risks, and recommend sound solutions in a timely manner.
  • Basic programming experience, preferably in a dynamic language such as Clojure, Python, PySpark, or Ruby. Solid SQL development experience with an understanding of the relational model.
  • Experience with BI tools such as Tableau, QlikView or MicroStrategy.
  • Basic understanding of NoSQL databases and Big Data environments (Hadoop and its ecosystem).
  • Understanding of statistical techniques (regression and hypothesis testing) and model fitting processes (cross validation).
  • Exposure to machine learning techniques, such as boosting, SVMs and neural networks.
  • Adeptness to learn new assignments, technologies, and applications quickly and manage multiple assignments simultaneously.
  • Ability to network with corporate and field contacts. Frequent inter-departmental contact and presentations. Independently works with customers on a 1:1 basis, as well as in teams.
  • Works independently with general supervision and acts as a resource for colleagues with less experience. Work is evaluated to ensure objectives are met.
  • Exercises judgment in selecting and adapting methods and techniques for obtaining solutions.
  • Possesses the ability to make decisions which may deviate from established policy due to special circumstances.
  • Possesses interpersonal skills to work in a high profile and fast paced team.
  • Technical aptitude to learn and adapt to new industry applications and tools.
  • Some travel required.
  • Typical work week hours can vary depending on workload and project deliverables.
Education and Experience

  • Bachelor's degree required; Master's degree preferred.
  • Experience in healthcare preferred.
  • 3+ years of relevant work experience required.