Data Analytics Technical Lead
Seeking a skilled Technical Lead to support a fast paced, innovative project supporting our client in the field of data science and AI/Machine Learning.
This role leads the development team(s) to implement the solutions across multiple analytical projects, collaborates with business and IT partners and responsible for the delivery of product/software.
Able to conduct independent analysis and present finding effectively to a cross section of delivery team members ranging from Client Facing Leadership, Business Analysts, Architects, Developers and Testers.
-- Acts as technical lead on assigned teams to lead internal and client technical resources to complete large complex analytical projects end-to-end.
-- Translates and clarifies complex business requirements for use by technical staff, makes necessary recommendations on architecture, timelines and software delivery.
-- Engages with internal teams, project teams and business areas to discuss issues and document or explain technical solutions in a simplified meaningful way.
-- Participates as facilitator in cross-functional teams.
-- Identifies technical trends and problems through complex big data analysis.
-- Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently.
-- Leads design and agile delivery effort by suggesting possible solutions or helping to shape delivery team thinking.
-- Performs technical design reviews and code reviews.
-- Ensures unit test is completed and meets the test plan requirements, system testing is completed, and system is implemented according to plan.
-- Contributes to estimation and status activities.
-- Mentors team members and provide troubleshooting support.
Equal Opportunity Employer Veterans/Disabled
Education and Experience Required:
-- Advanced degree in Computer Science, Statistics, Applied Math, Engineering with an emphasis on Machine Learning and a minimum of 7 to 10 years work related experience.
-- Advanced skills with analytics tools such as SQL, Python, Hadoop, R Programming, Tableau, AI, Machine Learning and unstructured text.
-- Hands-on experience with a "Big Data " database like Vertica.
-- Knowledge of GitHub, Jupyter and Informatica is a plus.
-- Client facing experience providing and implementing analytical solutions to health and life science, Medicaid, or Commercial Insurance customers.
-- Ability to lead development efforts in an Agile or Waterfall framework.
-- Ability to support the gathering of complex analytic requirements from non-technical clients.
-- Extensive research and presentation skills.
-- Experience using statistical techniques.
-- Experience developing visualizations.
-- Experience with AWS/Azure
Amazon Web Services