Advisor Data Sciences - WFH

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities.

Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development.

You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance.

We also have comprehensive leadership and technical development academies to help build your skills and capabilities.

Summary

Your role in our mission

Essential Job Functions

• Designs, develops, programs methods, processes and systems to consolidate and analyze unstructured, diverse â big dataâ sources using machine learning and predictive modeling tools.
• Builds analytic models to identify and quantify solutions to business problems. Interprets and communicates insights and findings from analysis and experiments to client, service, and business managers.

Determines probable future outcomes and recommends and delivers new business process improvements.

• Provides leadership and work guidance to less experienced personnel towards build of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems

Basic Qualifications

• Bachelorâ s degree in a technical discipline related to Statistics, Analytics, Mathematics, Psychology, or Data Analysis Master's degree in related field preferred.
• Typically 10+ years of relevant experience in the area of statistics / analytics / machine learning
• Extensive knowledge of data science methodologies including but not limited to classical regression, neural nets, sequence analysis, cluster analysis, and text mining

Other Qualifications

• Extensive understanding of analytics programming languages (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures
• Extensive machine learning techniques and mathematical modeling skills
• good knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3)
• Guides and assigns work of others and manages large scale projects with teams ranging from 3-5 data scientists
• influence senior stakeholders on leveraging and adopting analytics towaards art of the possible
• Willing to work in a matrix environment
• Good creative thinking, problem solving, planning, time-management, project management and organization skills to balance and prioritize work
• Ability to handle multiple tasks simultaneously and switch between tasks quickly
• Willingness to travel

Work Environment

• Office environment
• May require shift or weekend work- shift is unlikely, but weekend work is sometimes the norm

What we're looking for

What you should expect in this role

Competency1

Competency2

Competency3

Competency4

Competency5

The pay range for this position is $99,200.00 - $141,700.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors.

Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development.

All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits , and educational assistance.

We also have a variety of leadership and technical development academies to help build your skills and capabilities.

We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone.

Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth.

Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.

Gainwell Technologies is committed to a diverse, equitable, and inclusive workplace. We are proud to be an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We celebrate diversity and are dedicated to creating an inclusive environment for all employees.