Senior Data Scientist at Analytica

, , -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, Predictive Analytics, Python, R, AWS, Cloud Analytics, Oracle, PostgreSQL, Agile, Scrum, DevOps

Industry

IT Services and IT Consulting

Description

Analytica is seeking a Senior 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 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 Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Responsibilities

Serve as the primary technical point of contact for user communities and stakeholders related to analytic services. Develop and deliver internal analytics to support cost estimation, performance metrics, and data management scripts.