Data Science Engineer Intern
Cambia Health Solutions

Job Info

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Data Science Engineer Internship

Remote

This full-time twelve-week internship position is scheduled to begin in May/June 2021

Cambia Health Solutions is working to create a seamless and frictionless health care experience for consumers nationwide. This presents a unique challenge and opportunity for innovative solutions.

Our Data Science Engineers in the AI Engineering team design, dev--elop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) with high availability for a wide variety of health-related projects with opportunity to improve the health quality of millions. You should be passionate about finding insights in data, comfortable with large and fragmented data sets, and command a variety of analytic tools at your disposal. -

In addition to quantitative mastery, the team will effectively interpret and communicate strategic results to varied audiences and provide analytical support for companywide processes and operational improvement efforts. The ideal candidate is an independent, solution-oriented thinker with a strong Computer Science background, full stack software engineering skills, practical experience in machine learning and real-world experience in building end to end data science.

At Cambia, our values are fundamental to achieving our Cause of transforming the health care industry. They guide our actions and bring diverse perspectives together to improve the health care journey better for those we serve. All eight values are equally important and linked to the others: Empathy, Hope, Courage, Trust, Commitment, Innovation, and Accountability. These values are not just words on paper - we live them every day.

Essential Function of the Data Science Engineer Internship:

• Build automated & enhanced data science stack management with model updating & testing (regression, shadow, parallel, A/B) capabilities.
• Develop the core data science services with near real-time capabilities.
• Build and maintain tools that allow data scientists to perform their own ETL tasks.
• Work with large volumes of both structured and unstructured data.

• Ensure the appropriate identification of root causes through effective use of data analysis tools and techniques.
• Work and interact across the organization with a variety of business units.

Key Qualifications and Experience:

• Currently enrolled in a graduate degree program focused on machine learning, big data, computer science, statistics, bioinformatics or related programs. (Individuals who have completed their degree in the last eighteen months are also encouraged to apply.)
• Minimum 3.0 cumulative undergraduate grade point average.
• Solid data structures & algorithms background.
• Experience with any one of Python, Java, C++, Scala or equivalent language.
• Experience with cleaning, aggregating, and pre-processing data from varied sources.
• Experience creating SQL queries for standard as well as ad hoc data mining purposes.
• Demonstrated experience operating in a Unix/Linux environment.
• Excellent problem solving, critical thinking, and communication skills.
• Strong ability to evaluate and adopt new technologies in a short time.
• Whole-brain thinking: possessing the ability to think creatively and demonstrate analytical skills, analyzing complex situations both alone and as part of a team, learning quickly and synthesizing solutions, options and action plans.

The following skills/experiences/knowledge are a plus:

• Demonstrated experience with providing advanced data insights in healthcare, insurance, e-commerce, internet advertising or related field.
• Coursework or practical experience with machine learning, data mining, and constructing analytical models and algorithms.
• Strong proficiency writing production-quality code, preferably industry engineering experience with machine learning projects (e.g. recommendation, ranking, optimization).
• Demonstrated proficiency in Relational databases and NoSQL databases.
• Demonstrated proficiency in Spark, Hadoop, Storm or related paradigms and associated languages such as Pig, Hive, or Mahout.
• Experience in one of AWS, Azure, Google Cloud or other cloud ecosystems.
• Experience in Information Retrieval technologies: Elasticsearch, Solr, or Lucene.
• Experience in Agile software development process, test-driven development and continuous integration.
• Demonstrated experience performing data extraction and transformation to construct modeling and evaluation datasets.
• Demonstrated knowledge of and practical experience applying data mining methodologies and building algorithms.

• Experience in building data science platforms.
• Experience in building online experiment frameworks.
• Experience developing and maintaining production services and libraries (preferably in cloud environments), including strong knowledge of algorithms and data structures.

• Ability to coordinate cross-functionally to drive solutions and resolve issues in a timely and effective manner.
• Demonstrated understanding of the principles of rigorous code review.

We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A drug screen and background check are required.

If you need accommodation for any part of the application process because of a medical condition or disability, please email CambiaCareers@cambiahealth.com. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy.

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