Required Skills

Data Scientist

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 9th Aug 2022

JOB DETAIL

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Understands the Data science methodologies to the existing enterprise services to bring in the cognitive edge as the differentiators

Skills and Qualifications

  • Solid knowledge of several statistical modeling and learning techniques. Hands on Coding in Python/R
  • Expertise in use of algorithmic / quantitative techniques to solve problems across following four areas
  • Structured data analysis and programming
  • Unstructured content mining
  • Natural language processing
  • Machine learning
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as Anaconda, NumPy, MatLab, Pandas, Seaborn, SciKit-Learn, NLTK, etc . Excellence in at least one of these is highly desirable
  • Good to have experience in Deep learning techniques namely RNN, LSTM, CNN etc,, and tools like Tensorflow, Keras.
  • Experience on MLOps for model development, release, monitoring and support of the models
  • Great communication skills
  • Experience with data visualization tools, such as D3.js, GGplot, etc.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills 
  • Proficiency in using query languages such as SQL, Hive, Pig etc.,
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase 
  • Experience working with enterprise architecture for the complex solutions solving business problems and complying to organization policies
  • Master of Technology in Data Science specialization

Company Information