Cynet Systems - Reston, VA, US

Data Scientist Lead - Remote / Telecommute

Date Posted: 2024-06-11

Job description

Job Description:

Essential Function:

20% Leads all data mining and extraction activities and applies algorithms to derive insights.
15% Synthesizes analytical findings for consumption by the teams and senior executives.
15% Leads proliferation of machine learning and artificial intelligence solutions.
15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
15% Mentors and develops junior data scientists for advanced data analysis.
10% Translates business priorities and creates data science deliverables.
10% Leads implementation of Client/AI/DS best practices for new data products and builds robust and scalable software.

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
The requirements listed below are representative of the knowledge, skill, and ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Bachelor's Degree.
Statistics, Mathematics, Computer Science or related field.

Experience:

8 years of relevant work experience.
In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Knowledge, Skills and Abilities (KSAs):

bility to communicate effectively and document objectives and procedures., Expert
bility to leverage a wide variety of data science tools and frameworks., Expert
bility to support data exploration and data analysis tasks in support of analytics objectives., Expert
Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Expert
Proficiency in statistical modeling applications., Expert
Proficiency in advanced SQL in multiple syntaxes., Expert
Proficiency in AWS Ecosystem and tools.
Experience working as an AI/Client Engineer.

2024-07-17