About SCAN
SCAN Group is a not-for-profit organization dedicated to tackling the most pressing issues facing older adults in the United States. SCAN Group is the sole corporate member of SCAN Health Plan, one of the nation's leading not-for-profit Medicare Advantage plans, serving more than 285,000 members in California, Arizona, Nevada, and Texas. SCAN has been a mission-driven organization dedicated to keeping seniors healthy and independent for more than 40 years and is known throughout the healthcare industry and nationally as a leading expert in senior healthcare. SCAN employees are a group of talented, passionate professionals who are committed to supporting older adults on their aging journey, while also innovating healthcare for seniors everywhere. Employees are provided in-depth training and access to state-of-the-art tools necessary to do their jobs, as well as development and growth opportunities. SCAN takes great pride in recognizing our team members as experts in their fields and rewarding them for their efforts. If you are interested in becoming part of an organization that is innovating senior healthcare visit www.thescangroup.org, www.scanhealthplan.com, or follow us on LinkedIn, Facebook, and Twitter.
The Job
The Machine Learning Engineer is responsible for designing, implementation, configuration, and maintenance for advanced analytics environments to solve stated business challenges facing the organization. Assist Data and Analytics leadership to develop strategies and to oversee architectural designs for implementation of Advanced Analytics, Big Data, and Machine Learning.
You Will
- Machine Learning architecture, design, research, testing, and evaluation of new technologies that improve and enhance enterprise analytics systems reliability, availability, and serviceability.
- Collaborate closely with internal and external partners to ensure that technology decisions related to advanced analytics align seamlessly with the overarching enterprise architecture framework.
- Establish and meticulously maintain analytic environments essential for the Enterprise Data Warehouse, Data Science, Business Intelligence, and both structured and unstructured data.
- Maintain knowledge of current and emerging technologies, products, and trends in advanced analytics solutions, fostering a keen awareness of the evolving landscape.
- Ensure alignment of data analytics solutions with business and IT goals/objectives, actively participating in the identification of advanced analytics solution options and features.
- Effectively communicate solution options to business owners and stakeholders, facilitating data analytics architecture reviews.
- Identify gaps between established standards and proposed solutions for advanced analytics, maintaining a sharp focus on maintaining alignment.
- Sustain an in-depth awareness of existing technology assets related to data science and business intelligence, continuously evaluating their capabilities.
- Provide mentorship to team members, assisting in the development of technical skills related to data analysis and data science.
- Collaborate with data insight teams to establish development standards for coding, testing, and documentation.
- Engage stakeholders across the organization to architect solutions that leverage advanced analytics, big data, and machine learning effectively.
- Demonstrate excellent interpersonal and organizational skills, ability to handle diverse situations, multiple initiatives, and rapidly changing priorities.
- Actively support the achievement of SCAN's Vision and Goals.
- Other duties as assigned.
Your Qualifications
- Preferred, but not required: Associate's or Bachelor's Degree in Computer Information or equivalent work experience.
- 4+ years of overall IT field experience required.
- 3+ years of experience in advanced analytics solution architecture, standardizing and building enterprise-level data analysis solutions in a complex environment required.
- Hands-on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering, and recommendation system).
- Programming experience with scripting languages such as Python/R and SQL is required.
- Deep understanding of data science, machine learning, deep learning, advanced statistical techniques, and concepts.
- Deep understanding of industry patterns for advanced analytics architecture and integration.
- Excellent written and verbal communication skills.
- Experience in Deep Learning Libraries, such as TensorFlow or PyTorch is preferred.
- Health care industry experience is a big plus.
What's in it for you?
- Base salary range: $106,200 to $169,900 annually.
- An annual employee bonus program.
- Robust Wellness Program.
- Generous paid-time-off (PTO).
- 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days.
- Excellent 401(k) Retirement Saving Plan with employer match.
- Robust employee recognition program.
- Tuition reimbursement.
- An opportunity to become part of a team that makes a difference to our members and our community every day!
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.
#LI-JB1 #LI-Hybrid
#J-18808-Ljbffr
