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 270,000 members in California, Arizona, and Nevada.. 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). Deep understanding of data science, machine learning, deep learning, advanced statistical techniques and concepts.. Experience in Deep Learning Libraries, such as tensorflow or pytorch is perferred.

analytics engineer

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 270,000 members in California, Arizona, and Nevada. 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

Responsible for designing, implementation, configuration and maintenance for advanced analytics environments to solve stated business challenges facing the organization. Assist IT leads to develop IT strategies and to oversee architectural designs for implementation of Advanced Analytics, Big Data and Machine Learning.

You Will

Advanced analytics architecture, design, research, testing and evaluation of new technologies that improve and enhance enterprise analytics systems reliability, availability and serviceability.
Collaborate with internal and external partners to ensure that technology decisions related to advanced analytics and blueprints align with the overall enterprise architecture framework.
Establish and maintain analytic environments required for Enterprise Data Warehouse, Data Science, Business Intelligence, structured and unstructured data.
Maintain knowledge of current and emerging technologies/products/trends related to advanced analytics solutions.
Ensure alignment of data analytics solutions with business and IT goals/objectives.
Facilitate and participate in identification of advanced analytics solution options and features.
Communicate solution options to business owners/stakeholders (e.g. data analytics architecture reviews).
Identify gaps between established standards and proposed solutions for advanced analytics.
Maintain awareness of current technology assets related to data science/business intelligence and the capability of each.
Mentor team members to assist with technical skills related to data analysis and data science.
Work with data insight teams to define development standards for coding, testing and documentation.
Work with stakeholders throughout the organization to architect solutions for leveraging advanced analytics, big data and machine learning.
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: Bachelor’s degree in Computer Information or equivalent work experience
7+ 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 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 perferred.
Health care industry experience is a big plus.

What's in it for you?

Hourly Range: $44.42 to $71.05 per hour
An annual employee bonus program
Robust Wellness Program
Generous paid-time-off (PTO)
Ten paid holidays per year, plus 1 additional floating holiday
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.

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