Job Description :

Position: Data Scientist

Location: Remote

Duration: 6 months +

Job Description:

The candidate is expected to be an Innovation/Data Science Consultant who can work with customers and teams (local or remote), lead technical or business discussions, provide technical guidance to clients and team members delivering initiatives. An ideal candidate must have been in this role where she/he has led the ideation-design-implementation-integration of several AI/ML solutions on Azure Data Platform, with integrations to consumer application (web and smart device app).

The role is a combination of consulting and hands-on experience. The ideal candidate will need to work with customer to explore use cases, hypothesis generation and testing, data discovery, design AI/ML models, and implement/integrate them with solution.

The candidate is expected to have the following expertise/experience.

Skill and Experience

  1. Excellent written and verbal communication
  2. Strong communication & visualization skills to help stakeholders define requirements, and should be good in explaining hypothesis/experiment outcomes to technical and non-technical business audiences
  3. Must have worked on several (5+) projects building AI/ML solutions in Data and AI space, focused on analytics development (ML/AI) in an IT project/product setting, following SDLC
  4. Expertise in using one or more analytic software tools or languages (e.g., Python, R) , Python is preferred
  5. Expertise in Hypothesis generation and validation, prototyping and solutions integration
  6. Experience with Azure Cognitive skills like Vision, Language, Search, Speech
  7. Have good experience working with Python (Pandas, NumPy, Matplotlib and other packages), to perform
    1. Data cleaning,
    2. Data quality assessment
    3. Data analysis
    4. Data visualization
  8. Deep experience in statistical and ML techniques such as classification, regression, feature selection and feature engineering, hyperparameter tuning, unsupervised learning methods, etc.
  9. Experience with deep learning frameworks (e.g., TensorFlow, pyTorch).
  10. Experience with applied analytics, descriptive statistics, and predictive analytics
  11. Experience modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning
  12. Experience with Azure/AWS cloud technologies for building, deploying and delivering data science applications
  13. Must be a self-starter and a great team player with excellent interpersonal skills
  14. Experience with integrating trained models with enterprise applications
  15. Experience integrating AI skills and ML models with Data and reporting solutions
  16. Experience in operationalizing AI skills and ML models for downstream consumption

,
Kevin Kristoff
Sr. Talent Acquisition Specialist
Phone: 443-832-6103
Email: *************
Web:
4229 Lafayette Center Dr, Suite 1880, Chantilly, VA 20151

             

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