Profile Requirements : - Excellent understanding of Machine Learning techniques and algorithms. - Proficiency with Python & Java for production-ready code and modeling. - Experience with Data Science toolkits, such as sci-kit, NLTK, Pandas, Spacy, Seaborn, Matplotlib etc. - Experience with data visualization and extracting insights from them. - Proficiency in using query languages such as SQL, knowledge in the area of NLP, Predictive Modelling & Recommendation Engines is a big plus. - Crunch a large volume of data, observe trends and build scalable & analytical models. - Solid applied statistics skills, such as distributions, statistical testing, regression, etc. - Efficient scripting and programming skills. - Data-oriented and statistical mind-set and thinking. - Appreciable knowledge of databases like NoSQL, MongoDB, Postgres, etc. - Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to clients and management. - Experience with AWS, Google Cloud is a plus. - Exposure with Deep Learning algorithms is a big plus. Responsibilities and Duties : - Selecting features, building and optimizing models using machine learning techniques. - Handling clients and respective client calls to discuss the progress of the projects. - Data mining using state-of-the-art methods - Enhancing data collection procedures to include information that is relevant for building analytic systems - Processing, cleansing, and verifying the integrity of data used for analysis - Doing ad-hoc analysis and presenting results in a clear manner - Creating automated anomaly detection systems and constant tracking of its performance - Adopting new research methodologies including Deep Learning (CNNs, LSTMs) on Experience and Qualifications : - Bachelors/ Masters in Computer Science, Electronics or Statistics. - Minimum experience of 2 year is required in the field of Data Science. (ref:hirist.com)