Job posted 9 hours ago
Alignment Health is hiring in California, United States
Data Science Intern
Apply to this Internship Internship position for Engineering and Information Technology at Alignment Health in California, United States.
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About the job
Job Number: 6772
Workplace Type: Fully Remote
Position Title: Data Science Intern
External Description
Data Science: (Full-time)
Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors.
We are experiencing rapid growth (backed by top private equity firms), our Data Science team is looking for the best and brightest data scientists. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience.
This position will play a key role in uncovering deep insights from data using advanced machine learning technologies and advanced statistical analysis, processing very large data sets using cloud-based data pipelines, variety of analytic tools, visualizations and delivering actionable healthcare insights & solutions.
Problems You Will Work On Every Day Will Include
Collaborate with key business leaders to understand their business problems and come up with analytical solutions.
Understanding the concepts and building algorithms in the healthcare domains
Working with large data sets and designing analytical approaches
Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team
Build end-to-end data science solutions which will improve healthcare outcomes and reduce the cost for our members.
Develop scalable and efficient machine learning and deep learning algorithms that can work in production systems.
Collaborate with the engineering team to build end-to-end cloud based machine learning production pipelines.
Basic Qualifications
Recent PhD graduate in Computer Science, Engineering, Mathematics, Statistics, or related field with a focus on Machine Learning and Deep Learning.
Excellent communication, analytical and collaborative problem-solving skills
Experience in applying machine learning methods to real world problems with measurable outcomes.
Depth and breadth in state-of-the-art machine learning and deep learning technologies
Solid data structures & algorithms background.
Strong programming skills in Python or similar scripting language
Proficiency in open-source deep-learning and machine learning libraries & toolkits
Demonstrated proficiency in SQL and relational databases.
Experience with data visualization and presentation, turning complex analysis into insight.
Experience in setting experimental analytics frameworks or strategies for complex scenarios.
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources
Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment
Familiarity with code repositories, such as Github
Preferred Qualifications
Healthcare experience
Published work in academic conferences or industry circles.
Desire to work at a fast-paced work environment
Position Location:
Orange, California or remote
City: Remote-US
State: California
Location City: Remote-US
Location State: California
Community / Marketing Title: Data Science Intern
Company Profile
By leveraging our world-class technology platform, innovative care delivery models, deep physician partnerships and our serving heart culture, Alignment Health is revolutionizing health care for seniors! From member experience professionals and clinicians, to data scientists and operations leaders, we have built a talented and passionate team that is deeply committed to our mission of transforming health care for the seniors we serve. Ready to join us?
At Alignment, delivering exceptional care to seniors starts with ensuring an exceptional experience for our over 1,300 employees. At the center of our employee experience is a culture where employees at all levels and across all teams are encouraged to share their unique ideas and perspectives. After all, when you can bring your authentic self to work, whether that’s in a clinical setting, our corporate office or a home office, creativity and innovation flourish! Another important part of the Alignment culture is a belief in continuous learning and growth. As a result, in this fast-growing company, you will find ample support to grow your skills and your career – with us.
EEO Employer Verbiage
Please note: All clinical positions are contingent upon successful engagement with Alignment Health’s COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral).
Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.
DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email [email protected].
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