Responsibilities

• A keen desire to solve business problems, and to find patterns and insights within structured and unstructured data
• Ability to work independently.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques
• Strong ability to formulate business problems mathematically and strong problem-solving skills.
• Proven data manipulation skills.
• Have been active in the community in terms of articles / blogs / speaking engagements at conferences

Requirements

• At least 6+ years of experience with recent 3+ years associated in Data science.
• Experience in Python/R/Scala/Julia, Statistical Modeling including linear & logistic regression, Tree based models e.g. Random Forest, Boosted Trees
• Solid experience with data visualization tools such as Matplotlib/ggplot/plotly
• Hands-on experience with a variety of machine learning and deep learning algorithms (SVM, artificial neural networks/ANN, RNN, CNN etc.) 
• Hands-on experience with Natural Language Processing (NLP), should have implemented any of the following techniques Word2Vec, Glove, BERT, ULMFit, XLNet etc.
• Experience in at least two of the following Image / Text/ Tabular data
• Knowledge of unsupervised ML algorithms
• Strong problem solving skills with an emphasis on domain use case.
• Excellent written and verbal communication skills for coordinating across teams.
• Cross domain (BFSI, Telecom, E-commerce etc) experience.