Data Scientist

Job Description:

Job Responsibilities • Participate in conceptualizing, designing, and developing AI/ML based solutions for healthcare domain using Computer Vision / Image Analytics/ Time-series Forecasting. • Develop solutions around diverse challenges with some of them being Time-series forecasting, Text Analytics, Prediction / Classification, Clustering, Recommender Systems, etc… • Operationalize built prototypes in cloud platforms like Azure or equivalent. • Quickly adapt to new programming language/libraries/platform. • Ability to rapidly prototype and demonstrate value for businesses. • Work effectively within a team environment under tight timelines. • Convey findings to clients and stakeholders. • Must be self-motivated, highly client focused and can collaborate with multiple teams. Experience Required: • 6+ years of experience in understanding a business challenge and formulating it as data science problem. • 5+ years of Python experience with open-source libraries like Scikit-learn, Pytorch, Gensim, Tika, SparkNLP and Spacy • 5+ years of experience with Machine learning techniques like K-Means Clustering, EM Algorithm, Bayesian Classifier, Multinomial Logistic Regression, SVM and CRF along with Ensembling methods. • 2+ years of experience in building forecasting models using time-series techniques like smoothing techniques, Box-Jenkins models (ARIMA, ARIMAX), etc…; Deep learning techniques like LSTM/CNN • 2+ years of experience with NLP concepts like Edit distance, Vector space model, Latent Dirichlet allocation and Latent semantic analysis. • Hands-on experience in developing SQL queries for processing data in SQL database. • Hands-on experience in ML Ops and related tools • Hands-on Knowledge and implementation experience in Data Ingestion; ETL, Visualization Tools • Experience in operationalizing machine learning models in cloud platforms like Azure. • Experience in communicating complex algorithms and findings in an easily comprehensible way to clients. • Exposure to Bash scripting, ML Flow, GitHub is plus. • Experience in implementing Image Analytics using Computer Vision concepts for healthcare domain is plus. Educational Qualifications Required: • B.E/B.Tech. or equivalent in disciplines like Computer Science and Information Technology • Master’s degree with a specialization in machine learning/NLP from premier institutes like IITs, BITS, NIT is a plus. • Pursued Data Science course of atleast 6 months duration from reputed institutes/platforms like Upgrad, Great Lakes, Insofe, etc…