Senior Data Scientist at American Nurses Enterprise

Career Title: Senior Data Scientist  

Department: Data Governance 

Salary: Competitive salary commensurate with data scientist experience

FLSA: Exempt 

Note: Union Dues are 1.44% of bi-weekly pay

Career Summary: 

The American Nurses Enterprise (ANE) is seeking to hire a dedicated and high-performing Senior Data Scientist.  

As Senior Data Scientist, you will partner with business and operational leaders to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects. You will be responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. Further, you will support senior leadership by creating business insights, reports, and analyses to aid in the decision-making process.

Join the American Nurses Enterprise (ANE) and be part of the team building a healthy world through the power of nurses. Our goals are to (1) Elevate the Profession of Nursing Globally 

(2) Evolve the Practice of Nursing to Improve Health, Health Care, and Health Equity and (3) Ensure the Professional Success of Nurses. Our core values: Trusted, Inclusive, Innovative and Empowered guide everything we do. We are committed to creating a supportive and dynamic workplace where employees can thrive. 

We understand the importance of work-life balance and offer flexible work arrangements and generous paid time off. Our modern office spaces are designed to foster collaboration and creativity. The collaborative culture and supportive team environment make ANE a great place to grow your career.

What You Will Do:

• Translate business needs into analytics/reporting requirements to support decisions and workflows with required information
• Performs large-scale experimentation and builds data-driven models to answer business questions
• Proactively mines data Lakehouse to identify trends and patterns and generates insights for business units and senior leadership
• Performs large-scale experimentation to identify hidden relationships between variables in large datasets
• Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
• Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed stochastic neighbor embedding (t-SNE), or principal components analysis (PCA) and machine learning
• Designs and conducts data analyses with high standards of rigor and scientific accuracy; this includes study design, methodology, algorithms, and statistical modeling

What you bring to the American Nurses Enterprise:

Education 

Related Work Experience

• At least 6-8 years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization
• Proven experience in conducting statistical analysis and building models with advanced scripting languages
• Experience leading projects that apply ML and data science techniques to business functions
• Experience in text analytics, graph analysis, AI and ML techniques, such as deep learning, is preferred

Skills 

• Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, Excel, SQL, MATLAB
• Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka
• Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN)
• Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
• Willingness and ability to learn new technologies on the job
• Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding
• Ability to work in diverse, cross-functional teams in a dynamic business environment
• Superior presentation skills, including storytelling and other techniques to guide and inspire

 Additional Qualifications 

What ANE Offers You: 

Join us and support more than 5 million Registered Nurses in the United States.

Every role within ANA contributes to a healthier world through the “Power of Nurses.” 

An opportunity to help transform a 129-year-old organization to meet the future needs and demands within Health Care.

Commitment to Diversity, Equity, Accessibility, and Belonging (DEIAB) 

Be a role model for embracing and empowering the uniqueness of every employee.

Continuously innovating through creative and strategic initiatives.

Exceptional benefits including, but not limited to 401K retirement contributions of up to 7%, generous PTO which includes the week-off between Dec 25 and Jan 1, in addition to Personal Days-off, 11 paid Holidays, excellent health/medical benefits, and much more

Commitment to your career development and advancement through ANE learning and development programs (internally and externally).

Work Schedule: 

Hybrid employees must work a minimum of 20% in the office.

Location: 

ANE Headquarters office located at: 8403 Colesville Road, Suite 500, Silver Spring, MD 20906 

Learn more about the American Nurses Enterprise:

https://www.nursingworld.org/ana-enterprise-jobs/ 

https://www.linkedin.com/company/american-nurses-association 

 The American Nurses Enterprise:

Founded in 1896, the American Nurses Enterprise is the family of nonprofit organizations that comprise of the American Nurses Association, including the American Nurses Association (ANA), the American Nurses Credentialing Center (ANCC), and the American Nurses Foundation (ANF)

Equal Opportunity Employer:

The ANE is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.