Data Scientist - IT/Consulting Firm

Role :

- The Data Scientist role will be part of a team of Data Scientists, Python Programmers and Data Analysts in the organization - and will be primarily responsible for building models and bots for executing various data maintenance, profiling, and historical and predictive analysis tasks.

- We are looking for an intellectually curious, results-oriented, and energetic team member who is passionate about building large scale data processing systems to help manage the ever-growing information needs of our client and is eager to take on the opportunity of having an immediate impact on our products and projects related to Predictive Analytics, Data Science, Machine Learning, Deep Learning, Natural Language Processing, Big Data Analytics and Artificial Intelligence.

Responsibilities :

- Work alongside a team of Data Scientists, Python Programmers, and Data Analysts for supporting business analytics and product platform data science requirements

- Evaluate, recommend, and deploy new tools or systems whether they be built in house, open source, or commercial offerings

- Design scalable pipelines for unstructured data flow to enable pre-processing, annotation, and training.

- Develop Unsupervised and Semi-supervised NLP and Computer Vision models to profile textual and visual data into pre-defined or undefined classes and values along with relationships, to achieve auto-encoding of textual data.

- Communicate findings and solutions clearly to a variety of audiences, by drafting clear, comprehensive specs or explaining algorithmic concepts

Requirements :

- 4-6 years of overall experience in the field of Data Science

- Demonstrated understanding and experience with relational data sets, OOPS concepts, data warehouses, data mining and data analysis techniques

- Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, natural language processing, experimental design, social networking analysis, feature engineering etc.

- Strong expertise in using basic Python libs used for data processing, manipulation, and cleaning like Pandas, NumPy, Scikit-Learn, SciPy, NLTK.

- Experience in relation extraction, knowledge graphs, Spacy, Pytorch/Keras/Tensorflow, H2O, NetworkX, NLP, Gensim, word embedding

- Experience in Deep learning models like CNN, RNN (Should be aware of methods like Back-propagation, Stochastic Gradient Descent, Learning Rate Decay, Max Pooling, Dropout, Long/Short term memory, etc) would be an added benefit.

- Knowledge of pre-trained NLP models, like StandfordNLP, Google's BERT, ELMo, ULMFiT would be added benefit.

- Knowledge of web scraping and crawling using Beautiful Soup, Selenium, LXML, Scrapy,

- Working knowledge of building REST APIs and integration

- Strong Engineering and DevOps orientation in agile environments.

- Sharp analytical and problem-solving skills

- Experience working in both startup and established organizations