Job Description :

Job Title: Data & Analytics - Data Science Consultant

Location: catonsville,Maryland ,21228

Rate; Open

Overall industry experience: 10 + Years

Job Description:

  The candidate is expected to be a 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

Others - Good to have

      1.Experience with ML Ops (CI/CD)

      2.Experience with SQL Server or any relational database. Programming and optimizing DB objects Views, Stored Procs, Functions

      3.Experience with Big Data processing, using Big Data technologies on Azure platform

     4.Experience working with

     a.Spark In-memory capabilities and its modules: Spark Core, Spark SQL, Spark Streaming (Databricks / Apache Spark)


    c.Streaming applications using Kafka and Spark Streaming

    d.Scala and/or Python

    5.Experience working with AWS and GCP platforms

    6.Experience in working with other NoSQL databases (Cassandra, Mongo etc.)

    7.Experience in other BI and reporting tools - Qlik, Tableau, BOBJ, SSRS, Excel reporting etc.


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