Senior Data Scientist

Reposted 16 Days Ago
75062, Irving, TX, USA
In-Office
142K-179K Annually
Senior level
Analytics • Consulting
The Role
Develop data science solutions leveraging machine learning and statistics, conduct data analysis, and collaborate across teams to optimize data insights in healthcare domains.
Summary Generated by Built In

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

DUTIES: Develop data science solutions and insights across multiple projects, combining an understanding of healthcare concepts with advanced mathematics to maximize the value of data for company’s members. Serve as a subject matter expert and work on cross-domain data science design related to machine learning, statistical inference, natural language processing, risk adjustment, data standardization and mapping, and other key data enrichments.

Specific duties will include the following: 1) Conduct exploratory data analysis from complex, disparate data sources to recognize patterns and support large scale delivery of key data insights through rigorous and transparent methods; 2) Operationalize data modeling, exploratory data analysis, inferential statistics machine learning model development, project deployment, and visualization based on specified project goals or design objectives; 3) Utilize structured query languages (SQL/Spark) and statistical programming languages (Python/SAS/R) to construct comprehensive data processing software solutions which clean, evaluate, and analyze a variety of data sets; 4) Leverage machine learning, natural language processing, or other statistical approaches to create, trouble shoot, and implement single platform solutions; 5) Apply technical knowledge in order to optimize program processing times and data representations and apply healthcare domain knowledge in order to understand how data represents real world situations to mold methods appropriately; 6) Communicate and interweave cross-domain findings from exploratory and predictive data analysis broadly to internal and external leaders; 7) Identify improvement opportunities in reporting and BI tools and collaborate with Products Technology to implement enhancements; and 8) Collaborate with key leaders and business expert to build analytical acumen across all analytic roles and

business leaders across multiple projects within specific organizational domain.

Uses the following methodologies, tools, and technologies: Inferential statistics (Chi Squared, Z scores, T tests), predictive statistics (AHRIMA, regression), machine learning models (SVM, random forest, neural net, natural language processing), healthcare data standards (ICD-10, LOINC, MSDRGs), statistical inference and experimental design (A/B testing, confidence intervals, power analysis), Python libraries (statsmodels/scikit-learn), core programming tools (R, Python, SAS, SQL, MATLAB, JAVA), and data platforms (Apache Spark, Azure Data Bricks, Hadoop).

MINIMUM REQUIREMENTS: This position requires a Master’s degree or equivalent in Data Science or a related field and 3 years of experience in a data science/analysis or related occupation. Will accept experience gained before, during or after a Master’s program. In the alternate, employer will accept a Bachelor’s degree or equivalent in Data Science, or a related field, and 5 years of (progressive, post-baccalaureate) experience in a data science/analysis or related occupation. Must also have 24 months of experience with each of the following: 1) Using inferential statistics (Chi Squared, Z scores, T tests) and predictive statistics (AHRIMA, regression). 2) Leveraging machine learning and natural language processing approaches, including SVM, random forest, neural net, natural language processing. 3) Utilizing structured query languages (SQL/Spark) and statistical programming languages (Python/SAS/R) to construct comprehensive data processing software solutions. 4) Using statistical inference and experimental design (A/B testing, confidence intervals, power analysis) and Python libraries (statsmodels/scikit-learn). Employer will accept experience gained concurrently. Domestic travel up to 10% of the time per year. Salary: $141,773 to $179,000/year. Full-time, position located in Irving, TX. Visa sponsorship not available for this position. Please apply online at https://careers.vizientinc.com/careers.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer:   Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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The Company
HQ: Irving, TX
5,661 Employees
Year Founded: 1977

What We Do

Vizient, Inc., the nation’s largest health care performance improvement company, serves more than 50% of the nation’s acute care providers, which includes 97% of the nation’s academic medical centers, and more than 20% of ambulatory care providers. Vizient provides expertise, analytics and advisory services, as well as a contract portfolio that represents more than $130 billion in annual purchasing volume. Vizient is based in Dallas and has offices in 20 metropolitan areas across the United States. We have 4,000 employees with a breadth of expertise, experience and compassion, who are eager to develop and implement solutions that advance health care for the greater good.

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