Lead Data Scientist

at  ANALYTICA

Analytica is seeking a Lead Data Scientist to remotely support a high-profile financial regulatory client with analytical expertise across all stages of the data science lifecycle. Serve as a technical lead in broadening our clients analytics as a service offerings to internal stakeholders.
Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.

Responsibilities include:

• Serve as primary technical point of contact for user communities, stakeholders, and project staff related to analytic services
• Support the project manager in executing the quality management program, e.g.peer reviews, issue escalation, quality assurance, validation and verification of migrations, etc.
• Coordinate and maintain user stories.
• Serve as primary point of contact for vendors of off-the-shelf analytic applications, as well as represent the open source analytics community (Python/Spark, R, etc, and their associated notebook/integrated development environment capabilities
• Develop and deliver internal analytics required to support cost estimation and forecasts, performance metrics, data management scripts, etc.

QUALIFICATIONS:

• Bachelor’s degree in an analytics discipline or related field; masters preferred
• 8+ years of practice in statistical analysis
• Experience with development of predictive analytics models and scripting languages such as Python and R
• Knowledge of and experience with public cloud providers Amazon Web Services architecture, tools and cloud methodologies (e.g., AWS Redshift)
• Experience with performing analytics from a cloud platform
• Experience with databases such as Oracle and PostgreSQL
• Knowledge and experience with Agile, Scrum and DevOps principles and practices
• Must be a US citizen
• Must be able to obtain and maintain a Public trust security clearance for the supported agencies
  About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
  Analytica LLC. is an Equal Employment Opportunity and Affirmative Action employer. We value diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases.
  vGToSDLKy

• Serve as primary technical point of contact for user communities, stakeholders, and project staff related to analytic services
• Support the project manager in executing the quality management program, e.g.peer reviews, issue escalation, quality assurance, validation and verification of migrations, etc.
• Coordinate and maintain user stories.
• Serve as primary point of contact for vendors of off-the-shelf analytic applications, as well as represent the open source analytics community (Python/Spark, R, etc, and their associated notebook/integrated development environment capabilities
• Develop and deliver internal analytics required to support cost estimation and forecasts, performance metrics, data management scripts, etc