Data Scientist

  Role Data Scientist Key Responsibilities

• Client the information hidden in structured & unstructured data by applying data mining techniques, doing statistical analysis, and building high quality prediction systems
• Evaluating business problems for suitability & feasibility of a predictive solution
• Evaluating & Identifying the right Machine Learning and data science techniques & toolsets to address a variety of predictive analytics problems
• An individual contributor as well as a guide to the fellow team members in discovery, design, and development of analytical models
• Working with functional & technical teams in the development, pilot & optimization of tools and models using Machine Learning & Natural Language Processing

• Advanced degree in statistics, computer science, machine-learning or related fields such as econometrics
• 10+ years of professional experience in software engineering, with a good understanding of the Information Technology industry
• 5+ years of data mining (structured / unstructured data) & Machine Learning experience, with a proven ability to design and develop solutions across Client landscape (supervised, un-supervised, semi-supervised etc.)
  • Excellent applied statistics skills
  • Supervised algorithms, such as k-NN, Naive Bayes, Decision Trees, Logistic Regression, SVM, Random Forests, Neural Nets etc.
  • Unsupervised algorithms including clustering, anomaly detection, document similarity, dimensionality reduction etc.
• Proven experience with below toolkits & technologies is a must:
  • Statistical programming languages such as Python, R
  • Azure Machine Learning
  • Client and NLP toolkits such as scikit-learn, TensorFlow, PyTorch, Keras, Stanford suite, Python NLTK, spaCy
• Strong attention to detail and excellent quantitative and qualitative analytical ability
• Team player and a self-starter; Excellent collaboration skills
• Excellent oral & written communication skills, with ability to explain machine learning concepts and findings or techniques to varied stakeholders