Associate Data Scientist

State of Location:

Pennsylvania

Position Summary:

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:

Ivy Rehab Network is looking to hire an Associate Data Scientist, preferably in New Jersey/ New York territory with 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 operational performance.

• The Associate Data Scientist will have the opportunity to work on complex business problems with a focus on finance and operations, 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 for ad hoc business questions.

• 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.

How you’ll spend your day

• Collaborate with internal and external stakeholders to gather data and project requirements, specifically for finance and operational inquiries.

• Perform queries against Ivy’s Snowflake Data Lake to acquire and join the required data, forming data models, to answer ad hoc ‘business’ questions.

• Prepare written analysis and summarize results using graphical representations and professional formatting.

• Provide analytical support interpreting financial and operational data and trends.

• Develop strong knowledge of how and why the data is collected in each of the various source systems.

• Capture, document, and communicate best practices with reporting analyst colleagues.

• Work closely with internal and external stakeholders to support strategic and long-term projects.

• Demonstrate an 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

Education & Foundational Knowledge

• Degree in data science, finance, business, economics, statistics, mathematics, or a related field.

• Strong foundation in applied statistical analysis (Probability distributions, statistical significance, hypothesis testing (like A/B testing), and Bayesian concepts.

Strong Machine Learning Fundamentals:

• Supervised Learning: Algorithms where the data is labeled (e.g., Linear/Logistic Regression, Decision Trees, Random Forests).

• Unsupervised Learning: Finding hidden structures in unlabeled data (e.g., K-Means Clustering, Principal Component Analysis).

• Years experience: 1-3

Technical & Programming Proficiency

• Proficiency in fundamental data science languages (Python, R, SQL) and advanced Excel.

• Experience in using Snowflake and Snowpark is preferred.

Data Engineering & Wrangling

• Knowledge of distributed databases and handling large datasets.

• Proven ability to extract, join, clean, and manipulate data (wrangling) from various sources to resolve anomalies and build data models.

• Experience automating data processing tasks using scripting languages (Python, R, SQL, or Excel).

Analytical Problem Solving & Machine Learning

• Ability to logically break down business problems (e.g., segmenting by user cohort or geography) to uncover root causes and deliver actionable operational insights.

• Skilled in visually inspecting data to detect patterns, identify trends, and generate hypotheses.

• Knowledge of supervised and unsupervised machine learning models (e.g., linear/logistic regression, decision trees, random forests, K-Means clustering) and model evaluation metrics.

Data Visualization & Reporting

• Ability to clearly present findings and data models using visualization tools such as Power BI, Tableau, or relevant libraries in Python/R.

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. Hybrid and remote work flexibility.

• Empowering Values: Live by values that prioritize teamwork, growth, and serving others

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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.

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