From: bhagyaraj3sbc@gmail.com   
      
   Role:Data Scientist   
      
   Location:Plano, TX   
      
   Duration:Long-Term   
      
   Primary Job Responsibilities   
      
   Ø  Assess the deployment of data science environment constraints   
      
   Ø  Analyze and recommend tools that meet system requirements   
      
   Ø  Select the development environment   
      
   Ø  Create and Configure an Azure data science environment   
      
   Ø  Define technical success metrics and quantify risks   
      
   Ø  Transform data into usable datasets through development of data   
   structures, designing a data sampling strategy, designing the data preparation   
   flow   
      
   Ø  Perform Exploratory Data Analysis (EDA) through review of visual analytics   
   data to discover patterns and determine next steps, identify anomalies,   
   outliers, and other data inconsistencies and create descriptive statistics for   
   a dataset   
      
   Ø  Cleanse and transform data, resolve anomalies, outliers, and other data   
   inconsistencies, standardize data formats and set the granularity for data   
      
   Ø  Perform feature extractionalgorithms on numerical data, non-numerical data   
   and scale features   
      
   Ø  Perform feature selection, define the optimality criteria and apply   
   feature selection algorithms   
      
   Ø  Develop models:   
      
   ü  Select an algorithmic approach, determine appropriate performance metrics   
   implement appropriate algorithms, consider data preparation steps that are   
   specific to the selected algorithms   
      
   ü  Split datasets, determine ideal split based on the nature of the data,   
   determine number of splits, determine relative size of splits, ensure splits   
   are balanced   
      
   ü  Identify data imbalances, resample a dataset to impose balance, adjust   
   performance metric to resolve imbalances, implement penalization   
      
   ü  Train the model, select early stopping criteria, tune hyper-parameters   
      
   ü  Evaluate model performance, score models against evaluation metrics,   
   implement cross-validation, identify and address overfitting, identify root   
   cause of performance results   
      
   Basic Qualifications (Minimum):   
      
   Ø  Masters (minimum) or PhD (preferred), or advanced degree in Computer   
   Science or related field   
      
   Ø  3-4 years (with MS) or 1-2 years (with PhD) of experience manipulating   
   data sets and building statistical models using statistical computer languages   
   (R, Python, SQL, Scala etc.)   
      
   Ø  Knowledge of advanced statistical techniques and concepts (regression,   
   distributions, statistical tests and proper usage, etc.) and experience with   
   their application   
      
   Ø  Knowledge of a variety of machine learning techniques (clustering,   
   decision trees, artificial neural networks, etc.) and their real-world   
   advantages and drawbacks   
      
   Ø  Knowledge and experience with Deep Neural Net modeling frameworks–   
   TensorFlow, PyTorch, Caffe etc. are preferable   
      
      
      
   Thanks & Regards   
      
   BhagyaRaj  |Sr.Recruiter   
      
   T 281-823-9222x580 | bhagyaraj.bakuru@3sbc.com   
      
   Gtalk : bhagyaraj3sbc@gmail.com.   
      
       
      
      
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