LEAD Data Scientist

3 weeks ago

Reston, United States Soft source inc Full time
Job DescriptionJob Description

Looking for a LEAD Data Scientist Candidates must have Heavily focus on Sagemaker, cloud and model deployment exp Minimum 10 years of relevant experience and Lead experience

  • Client Location: Reston VA (Primarily a REMOTE ROLE, Highly prefer candidates local to the DMV area)
  • Experienced data scientist, Senior level, building ML models, a background in AI,
  • Experience with Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools, background in Python or advanced sql, Sage Maker, Deployment of the models would be a really nice to have skill set or knowledge tools in the AWS ecosystem,
  • Candidate must be a LEAD Level Data Scientist that has worked in a cloud based environment, some exp. in model deployment is a huge plus
Job DescriptionPURPOSE:
  • Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining.
  • Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments.
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: 10 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 (KSAs)
  • 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

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