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$146k-179k (estimate)

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Data Scientist Lead

C

Cynet Systems Reston, VA

$146k-179k (estimate)

Full Time | IT Outsourcing & Consulting 2 Weeks Ago

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Cynet Systems is Hiring a Data Scientist Lead Near Reston, VA

Job Details

We are looking for Data Scientist Lead for our client in Reston, VA

Job Title: Data Scientist Lead

Job Location: Reston, VA

Job Type: Contract

Job Description:

Essential Functions:

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 ML/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/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Key Requirement:

Experience building data pipeline for ML and AI models.
Experience optimizing ML/AI Model Code and deployments.
Experience with Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools.

Education Level:

Bachelor's Degree.

Education Details:

Statistics, Mathematics, Computer Science or related field.

Experience:

8 years of relevant work experience.

In Lieu of Education:

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

Preferred Qualifications:

Knowledge, Skills and Abilities:

Ability to communicate effectively and document objectives and procedures., Expert
Ability to leverage a wide variety of data science tools and frameworks., Expert
Ability 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.