ABOUT THE ROLE : - As a Data Scientist, you will be part of a global team of data scientists working on products and solutions for Fortune 500 companies. - You will improve upon and build new ML use cases for our customers worldwide. - You will collaborate with a multidisciplinary team of data scientists, software engineers, analysts, and product management on a wide range of problems such as dynamic pricing, customer 360, demand forecasting, supply chain optimization, inventory management, spend analytics, NLP solutions, campaign management, churn management, cross-sell/upsell opportunities, etc. ROLES AND RESPONSIBILITIES : - Create state-of-the-art deep learning and ML algorithms and applications. - Drive technical vision and strategy using ML to solve everyday business challenges. - Help to define and improve large-scale Machine Learning solutions to develop personalization, recommendation, predictions, optimizations, and searches across industries. - Define metrics, conduct A/B testing, and oversee statistical measurement of new algorithms and approaches. - Thorough exposure to end-to-end ML operations and data science stack. - Hands-on in Big Data technologies (such as Hadoop, Spark, and Storm) to build large-scale data mining pipelines. - Work on state-of-the-art Natural Language Processing and Computer Vision algorithms to solve business problems. - Work closely with engineering, product management, and delivery to build machine learning solutions incorporating data processing, feature engineering, and monitoring. - Work with customers to understand their challenges and propose the best AI/ML solutions by clearly defined PoCs and prototypes followed by productizing. REQUIREMENTS : - Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience. - Relevant hands-on experience of 10 to 15 years. - Expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. - Proven experience in experimentation (a/b, causal inference, synthetic control, etc.) , sophisticated data analysis, and or building machine learning models to solve real life business problems. - Hands-on experience with various ML Algorithms such as Decision trees, Support vector machines (SVMs), Naive Bayes, KNN classification, K-Means, Random Forest algorithm, Artificial neural networks (ANNs) and Recurrent neural networks (RNNs) - Working experience on Deep Learning Models such as FNN, CNN, RNN, Transformers, Auto Encoders GANs, LSTM and RBM - Experience with statistical software (e.g., R, Python, MATLAB, pandas) and proficiency with SQL and Hive / Spark (experience with streaming data a plus) - Knowledge of natural language processing techniques and neural networks. - Experience with Caffe/TensorFlow/Torch or similar deep learning frameworks

Any Location

Staff Data Scientist 

Job Description for Staff Data Scientist  in Thanks Buddy in  Any Location for (10-15) years of experience. Apply Now!