Statistician

State of Location:

Pennsylvania

Position Summary

At Ivy Rehab, we're "All About the People"! As a Data Scientist / Statistician you will play a crucial role in our mission to help enable people to live their lives to the fullest.

Join Ivy Rehab’s dedicated team where you’re not just an employee, but a valued teammate! Together, we provide world-class care in physical therapy, occupational therapy, speech therapy, and applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth, community, and a passion for exceptional care for every patient.

Job Description

This position has the ability to work remotely.

How You Will Make An Impact

The Analytics & Insights department draws upon the organization’s rich data sources and industry-leading data ecosystem to deliver innovative data-driven strategies and insights across the entire organization. Our work helps inform business decisions and improve the effectiveness and efficiency of care delivery and operational performance, optimizing the value of the patient’s experience and our patient outcomes.

The Data Scientist / Statistician will have the opportunity to work on complex business and patient care problems, leveraging our in-house data sources and growing data warehouse within a collaborative environment. This role will be responsible for supporting organizational initiatives by providing accurate and timely analytically derived insights. This person will be responsible for obtaining and validating raw data, querying against Ivy’s data lake and joining large data sets to bring together the data needed to perform an analysis, and applying advanced statistical and predictive analytics to uncover actionable insights.

We are seeking candidates with demonstrated experience completing a project from start to finish (idea, data pull, data cleaning, data feature engineering, analysis, presenting and reporting). The ideal candidate has a proven track record in performing advanced methods of statistical analysis and developing and deploying machine learning models into production environments and integrating them seamlessly into Power BI dashboards.

How You’ll Spend Your Day

• Work with Ivy’s data late database technologies to develop data models/schemas and statistical analytical toolsets to perform advanced and predictive analysis on raw organizational data from multiple sources, that provide insights into why something occurred and the likelihood of future events.
• Collaborate with internal and external stakeholders to gather data and project requirements.
• Perform queries against Ivy’s Snowflake Data Lake to acquire and join the required data, forming data models, to answer the ‘business’ question.
• Perform hypothesis testing
• Apply advanced statistical and predictive analytical methods and machine learning models to uncover actionable insights.
• Perform model diagnostics (e.g. VIFs, correlation coefficients, reasons for missingness etc)
• Prepare written analysis and summarize results using graphical representations and professional formatting.
• Capture, document, and communicate best practices with reporting analyst colleagues.
• Develop strong knowledge of how and why the data is collected in each of the various source systems.
• Provide analytical support interpreting data and trends.
• Work closely with internal and external stakeholders to support strategic and long-term projects.
• Interest in upskilling and learning new tools, such as use cases for generative AI, and cutting-edge analytical techniques
• This is not an exhaustive list; other relevant duties and responsibilities may be assigned at the needs and discretion of the business.
  
  

What You’ll Need

• Master's Degree, data science, statistics, biostatistics, mathematics, public health, health informatics, healthcare administration, finance, business, economics, or related field
• 3 years’ experience working with large databases, joining together different data sources to perform advanced analytics to deliver operational insights data verification, and data management experience preferred
• Demonstrated proficiency in extracting and manipulating data from various sources to then develop data models to then be used for analysis
• Build machine learning pipelines to with decision-making and streamline critical business metrics
• Demonstrated proficiency in performing advanced and predictive analytics and statistical modeling, trend analysis using Python, R, SPSS, and other advanced analytics software/platforms
• Demonstrated experience applying data science principles and statistical methods to solve complex business problems.
• Demonstrated experience with performing model diagnostics (e.g. VIFs, correlation coefficients, reasons for missingness, etc) and hypothesis testing
• Demonstrated experience in performing queries against data lakes to capture and join required data for analysis
• Demonstrated experience with machine learning for the building of algorithms to fit patterns in big data sets.
• Demonstrated proficiency in using Excel skills to run advanced analysis, queries of large data sets, and data visualization
• Demonstrated experience in deploying machine learning models into production environments and integrating them seamlessly into Power BI dashboards
• Demonstrated experience completing a project start to finish (idea, data pull, data cleaning, data feature engineering, analysis, presenting and reporting)
• Proficiency in SQL/querying languages
• Experience in automating data processing tasks (scripting, including Python, PySpark, R, Excel, SQL)
• Experience in designing, updating, and maintaining rich graphic visualizations with the modular design of reports, worksheets, and views in PowerBI is preferred.
• Experience with healthcare data is preferred.
• Experience in using Snowflake and Snowpark is preferred.
  
  

What will help you excel?

• Ability to identify data irregularities, perform quality assurance checks, and present findings and proposed solutions to leadership.
• Ability to work in a fast-paced environment while maintaining a positive attitude. 
• Flexible positive attitude: Hungry to solve problems and grow within the organization.
• Self-motivated with the willingness to exceed expectations, learn and grow.
• Excellent written and verbal communication and presentation skills
• Ability to prepare written analysis and summarize results using graphical representations and professional formatting.
• Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners
• Ability to work with end users and translate business requirements into technical requirements/solutions.
• Outstanding time management skills and ability to multitask
• Self-starter, able to work with limited supervision
• Demonstrates curiosity and a creative approach to problem-solving
• Comfort and confidence in working within a rapidly developing data lake and warehouse environment
• Proficient in Microsoft Word, Excel, and PowerPoint
  
  

Why Choose Ivy?

• Best Employer: A prestigious honor to be recognized by Modern Healthcare, signifying excellence in our industry and providing an outstanding workplace culture.
• Exceeding Expectations: Deliver best-in-class care and witness exceptional patient outcomes.
• Incentives Galore: Eligibility for full benefits package beginning within your first month of employment. Generous PTO (Paid Time Off) plans and paid holidays.
• Empowering Values: Live by values that prioritize teamwork, growth, and serving others.
  
  

We are an equal opportunity employer, committed to diversity and inclusion in all aspects of the recruiting and employment process. Actual salaries depend on a variety of factors, including experience, specialty, education, and organizational need. Any listed salary range or contractual rate does not include bonuses/incentive, differential pay, or other forms of compensation or benefits.

ivyrehab.com