Data Scientist

Job Summary 

We are seeking a skilled and innovative Data Scientist to join our team and play a pivotal role in designing, building, and maintaining robust data science projects. This role requires expertise in data wrangling and modeling, accompanied by a strong analytical mindset and the ability to collaborate across teams to support data-driven decision-making. The Data Scientist will work on model selection, development, testing and maintenance, creating solutions that meet stakeholder needs. This position is ideal for candidates passionate about leveraging data to drive organizational success, particularly in industries like healthcare where data accuracy and security are paramount. 

Duties and Responsibilities 

Data Analysis & Visualization: 

• Collect, clean, and perform exploratory analysis on large datasets to extract insights. 

• Create dashboards and visualizations to communicate findings to technical and non-technical stakeholders. 

• Develop automated reporting solutions to support business intelligence efforts. 

Machine Learning & AI Implementation: 

• Develop predictive models, machine learning algorithms, and statistical analyses in Dataiku to solve complex business problems. 

• Design and deploy models in development and production environments. 

• Works with various types of data, including structured and unstructured, for use as model features. 

• Works with large language model (LLM) or natural language processing (NLP)-related features. 

Collaboration & Engagement: 

• Work closely with Data Engineers to ensure data access, quality, storage, and processing. 

• Collaborate with App Development teams to integrate data science model output into applications and other user-facing workflows. 

• Partner with project managers, engineers, and business teams to understand analytical needs and deliver impactful solutions. 

• Participate in planning meetings, standups, and sprint reviews to ensure alignment with project goals. 

• Works closely with data science vendors, provides directives and feedback relevant to model development and maintenance. 

• Collaborate with infrastructure engineers on administration for our data science platform. 

Data Governance & Ethics: 

• Ensure data integrity, privacy, and compliance with industry regulations, especially in healthcare. 

• Follow best practices in responsible AI and ethical machine learning development. 

• Explores opportunities for improved data collection methods and sources to improve existing features or create new ones. 

Continuous Learning & Innovation: 

• Stay updated on emerging trends, tools, and technologies in data science and AI. 

• Proactively identify opportunities to improve analytics, modeling accuracy, and efficiency. 

Qualifications 

• Bachelor’s degree in Data Science, Statistics, or a related field; advanced degree or certification preferred. 

• 2+ years of experience as a Data Scientist or in a related role. 

• Proficiency or previous experience with Dataiku. 

• Proficiency in SQL and programming languages such as Python, R or Julia. 

• Experience with data warehousing solutions such as Snowflake, including expertise in tools like Fivetran, DBT, Tableau, and Microsoft SQL Server technologies (T-SQL, SSIS, SSAS, and SSRS). 

• Experience with data transformation, preparation, cleaning, and visualization. 

• Familiarity with NLP or LLMs. 

• Strong problem-solving skills with an ability to design efficient solutions for complex data challenges. 

• Excellent communication and teamwork abilities. 

• Experience in the healthcare industry or similar regulated environments is a plus. 

Key Attributes 

• Analytical thinker with a proactive approach to problem-solving. 

• Strong organizational skills, with the ability to manage multiple tasks and priorities effectively. 

• A team player who values collaboration and knowledge sharing. 

• Commitment to continuous learning and staying ahead in the rapidly evolving field of data engineering. 

This role offers the opportunity to work on impactful projects, shaping the data foundation that drives organizational success. If you are passionate about data science and are eager to make a difference, we encourage you to apply. 

About Pennant:

Pennant Services is one of the most dynamic and progressive companies in the rapidly expanding senior living, home health, hospice, and home care industries. Affiliates of Pennant Services now operate more than 150+ senior living, home health, hospice, physician services, and home care operations across 14 states, and we are growing!

These operations have no corporate headquarters or traditional management hierarchy. Instead, they operate independently with support from our Service Center, a world-class service team that provides the centralized clinical, legal, risk management, HR, training, accounting, IT, and other resources necessary for on-site leaders and caregivers to focus squarely on day-to-day care and business issues within their individual agencies.

Our culture here at Pennant is one of our most valuable resources and sets us apart from other companies. Our most valuable resource is our people, and our culture emphasizes that! We are dedicated to living out our culture as defined by our core values, “CAPLICO”:

Customer Second

Accountability

Passion for Learning

Love One Another

Intelligent Risk Taking

Celebrate

Ownership

By incorporating these principles at all levels of our organization, our employees feel valued and are excited about their impact on our service center team members and other operational partners. Our culture fosters excellence both personally and professionally and promotes development that leads to continued success.