*Data science /Analytics Lead*

*Phoenix, AZ*

*Duration: Contract*

*Kindly share the resumes or hotlist to [email protected]
<[email protected]>*

*Data Scientist Job Description: *

   - Research, design and prototyping of scalable machine learning
   techniques for classification, recognition and matching, and attribute
   extraction in order to answer key business problems.
   - Develop value propositions, identifying new business opportunities for
   data.
   - Determine the right set of statistical and machine learning algorithms
   and techniques needed to solve different data problems, while maintaining
   security and privacy of data.
   - Collaborate with engineers to make sure the solution scales well with
   high volumes of data and applicable to many business units.
   - Deep knowledge of fundamentals of machine learning, data mining and
   statistical predictive modeling, and extensive experience applying these
   methods to real world problems
   - Experience in developing and deploying predictive models.
   - Experience in following Machine Learning Techniques.
      - Linear and Logistic Regression.
      - Tree Based techniques(CART, Random Forest, Gradient Boosting)
      - Anomaly Detection techniques.
      - Dimensionality Reduction techniques(PCA, LDA, SVD, etc.,).
      - Time Series Analysis.
      - Clustering Techniques like K-Mean, DBScan, KNN.
      - Other classification techniques like SVM, Naïve Bayes etc.,
   - Knowledge on deep learning techniques like RNN, LSTM, CNN.
   - Good to have experience in Reinforced learning and optimization
   algorithms.
   - Track record of developing and implementing models and visualizations
   using programming and scripting (Python, R, Spark, and/or Azure ML).
   - Expertise working with both structured and unstructured data in a Big
   Data platform setting with standard toolsets.
   - Knowledge and experience working with SQL/Hive-SQL.
   - Strong oral and written communication skills, and ability to
   collaborate with cross-functional partners to build the business.


-- 



*Thanks and regards,*
*Deepak Kannoji*
*Kani Solutions Inc*
*Phone: 609-651-4663*
*Email: [email protected] <[email protected]> *
*Skype: kannoji.deepak*
*https://www.linkedin.com/in/deepakkannoji/
<https://www.linkedin.com/in/deepakkannoji/>*

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