Sr. Data Science

Responsibilities:Identify relevant data sources - a combination of data sources to make it useful.Build the automation of the collection processes.Pre-processing of structured and unstructured data.Handle large amounts of information to create the input to analytical Models.Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.Participate in Problem solving sessionsRequirements:Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumenStrong math skills (e.g. statistics , algebra)Problem-solving aptitude Excellent communication skills with ability to communicate technical information.Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee comRequired Skills:Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia