Sr. Data Scientist at Remote, Remote, USA |
Email: [email protected] |
Hello Everyone We have an immediate requirement for Data Scientist role. Need experienced consultants. Sr. Data Scientist Austin, TX (Hybrid) Long-term Experience: 12+years Skilled Data Scientist to lead the development and implementation of advanced data modeling and predictive analytics to support investment strategies. Primary Skills : Has experience with data science, statistical modeling and time series analysis of financial markets data, Fixed Income Assets, Investment Banking. Secondary Skills : Has experience in Gen AI , Language Model etc. Minimum 12+ years of experience in data science designing and deploying statistical modelling with at least 6 years of hands-on experience in Financial/Investment / Asset Management / Fixed Income. Has experience with data science, statistical modeling and time series analysis of financial markets data, Fixed Income Assets and/or Investment Banking. Has experience in Gen AI , Language Model etc. Worked for asset management firms in roles aligned to the front office. Has advanced knowledge of python and/or R Asset Allocation, Research, quat engineering Broad experience with hands-on modelling and DS lifecycle activities, particularly in Python, and ability to communicate at a high level with DS and non-technical leaders Knowledge of graphical packages such as plotly or gg plot Excellent understanding of Statistical modeling, Machine Learning (Supervised, Unsupervised, Recommendation engines, Optimization etc.) Deep Learning (RNN, CNN, LSTM, Auto encoders, GANS etc.), Natural Language Processing techniques and algorithms Strong coding experience in Python, Pyspark, Keras/tensorflow Experience with SQL & at least one NoSQL databases Experience of working on any of cloud platform (AWS, Azure, IBM etc.) Work closely with data engineers to source, analyze and engineer features, collaborate with fellow data scientists to develop, test and deploy Machine Learning models Exposure to creation of data pipelines to engineer apps deployment (CI/CD) across platforms and environments and working with ML pipelines Demonstrate analytical and problem-solving skills, particularly those that apply to the big data environment Thanks & Regards Deepa Tadakamalla Talent Acquisition Manager Aspire IT LLC E: [email protected] https://www.linkedin.com/in/deepa-tadakamalla-480371130 www.aspire-it-services.com Cumming, GA -- Keywords: continuous integration continuous deployment artificial intelligence machine learning rlang information technology Georgia Texas Sr. Data Scientist [email protected] |
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Wed Jun 12 21:31:00 UTC 2024 |