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data scientist
Ref No.: 18-00752
Location: nyc, New York
Position Data Scientist
Location NYC, NY
Rate/Salary Negotiable
Job Type  
Start Date Immediate & URGENT
Job Description Required Skills & Experience:
As a Machine Learning (Client)/Artificial Intelligence (AI) Scientist/EngineeR, you will be developing innovative solutions, and produce pioneering proof-of-concepts using big data coming from various domains including but not limited to bank, retail, finance, health, insurance, and life sciences.
  • MS or PhD with major in quantitative fields
  • Strong research background
  • Clear understanding of various research methods
  • Hands-on experience in all of the programming languages:  R, Python, Spark forMachine Learning
  • Ability to translate analytic ideas into R/Python production quality scripts
  • Strong background & hands-on in Data Science, Big Data, data structures, statistics algorithms like Regression, Classification etc.·
  • Strong background & hands-on of Supervised learning (Decision Trees, Random Forest, Logistic Regression, SVMs, GBM, etc) and unsupervised learning (K-Means, KNN)
  • Strong background & hands-on of Deep learning using Tensforflow, Keras, Theano, H2o
  • Sound understanding of Deep learning using CNN, RNN, ANN, reinforcementlearning, transfer learning
  • Good Communication Skills
  • Strong background & hands-on in Natural Language Processing and text analytics
  • Experience and passion for solving analytical problems involving big data sets using quantitative approaches to generate insights from data
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Strong in Predictive and Prescriptive analytics approaches and experienced in operating tools like R and in programming using Python
  • Good in data visualization in R & Python visualization libraries and has experience in using off the shelf visualization tools like Tableau
  • Has working experience in Data Science, Machine Learning implementation in cloud platforms like Google Cloud Platform, AWS, Bluemix
  • Good to have experience with geospatial tools such as GIS and QGIS
Day-to-day responsibilities:
  • Source data transformation to make suitable for analysis
  • Quickly prototype solutions and build models to test feasibility of solution approach
  • Build statistical models, train and test them to and drive towards the optimal level of model performance
  • Writing scripts in R/Python/SQL/Hive
  • Develop algorithms as per business requirements
  • Develop models and products using Client and AI
  • Improving model prediction accuracy and robustness
  • Integrate with other data sources where applicable
  • Develop visualization components as per requirement
  • Work closely with clients, both in the Domain experts and with Technical teams to define the use cases, run it with business stakeholders with the objective of getting business approvals & funding
  • Willing to learn new analytical tools and technologies
  • Serve as a technical and subject matter expert during external communications
  • Make scientific contributions while providing thought leadership in publications, speaking opportunities, and presentations
  • Work in highly collaborative teams that strive to build cutting edge AI products and provide business value