Data Scientist

Key Skills

Azure, Data Analytics, Data Lake, Data Modeling, Data science techniques, Databricks, Machine learning techniques, Python Programming, R Programming, Scala Programming

Job Description

Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare—with the expertise, scale, compassion, and vision to set the standard for the industry and help patients live their best lives. We are on a mission to help people and we know the work we do changes their lives. If there is a better way, we will create it. So, if our mission speaks to you, join us! 

Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare—with the expertise, scale, compassion, and vision to set the standard for the industry and help patients live their best lives. We are on a mission to help people and we know the work we do changes their lives. If there is a better way, we will create it. So, if our mission speaks to you, join us!

The ideal data science candidate is a motivated and skilled professional with a strong background in quantitative disciplines such as Computer Science, Statistics, or Mathematics. They possess a deep understanding of data analysis techniques, machine learning, and statistical modeling. This candidate is adept at translating complex data into actionable insights, displaying proficiency in programming languages like Python or R, and has a proven track record of solving real-world problems using data-driven approaches. Additionally, they exhibit effective communication skills and can collaborate seamlessly with cross-functional teams to drive impactful business outcomes.

The work you will do:

• Acquire a comprehensive understanding of business processes and data needs, enabling the design and application of advanced analytics solutions for optimization.
• Design, develop, evaluate, and implement predictive modeling, machine learning, and advanced analytics solutions.
• Utilize data visualization techniques to succinctly present insights, predictions, and analytical outcomes to diverse audiences.
• Contribute to the discovery of novel statistical methods, technologies, and design patterns.
• Collaborate closely with machine learning engineers to facilitate development, experimentation, and continuous integration of ML Models.
• Engage in cross-functional teamwork with business SMEs, analysts, data engineers, architects, DBAs, and infrastructure specialists to create and deliver advanced analytic solutions.
• Comprehensively document requirements, assumptions, methodologies, and strategies, including validation, testing, and implementation plans.
• Ensure adherence to established coding and ML standards, and actively engage with source control and change management processes.
• Maintain up-to-date knowledge of approved enterprise technology and the ML stack.

The skills and qualifications you need:

• Bachelor's degree in Statistics, Data Science, or a closely related field within Computer Science (or equivalent).
• 1+ year(s) of hands-on experience utilizing machine learning to enhance business outcomes, including a strong grasp of methods, design, building, testing, and implementation.
• 1+ year(s) of practical involvement with Database Management Systems, Data Lakes, and cloud-based ML Ecosystems like Spark or Azure Databricks.
• Understanding and hands-on experience with advanced statistics and contemporary machine learning predictive techniques
• Familiarity with data modeling tailored for advanced analytics.
• Ability to actively contribute to the development of machine learning models.
• Possess an intermediate level of knowledge and practical use of modern data science languages, such as Python, SQL, R, Scala, and more.

Our mission is to reinvent healthcare to help patients live their best lives, and we proudly live our mission-driven values: 

- We care deeply about the people we serve. 

- We are better when we work together. 

- Humility is a source of our strength.

- We bring joy to our work. 

We are committed to diversity, equity, and inclusion throughout our recruiting practices. Everyone is welcome and included. We value our differences and learn from each other. Our team members come in all shapes, colors, and sizes. No matter how you identify your lifestyle, creed, or fandom, we value everyone's unique journey.

Oh, and one more thing … a recent study shows that men apply for a job or promotion when they meet only 60% of the qualifications, but women and other marginalized groups apply only if they meet 100% of them. So, if you think you’d be a great fit, but don’t necessarily meet every single requirement on one of our job openings, please still apply. We’d love to consider your application!

Come join us and help our patients live their best lives. Learn more at www.interwellhealth.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.