Company:
Syntricate Technologies Inc
Location: Austin
Closing Date: 04/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Position- Data Science
Duration-Contract
Location- Austin, TX~ Sunnyvale, CA
Jd
1. Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM.
2. Extensive experience in TIME SERIES.
3. Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
4. Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
5. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
6. Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
7. Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
Data Science, Python, TIME SERIES, NLP, LLM
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : (phone number removed) |
Email : | Web:
We're hiring! connect with us on and visit our
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to .
Duration-Contract
Location- Austin, TX~ Sunnyvale, CA
Jd
1. Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM.
2. Extensive experience in TIME SERIES.
3. Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
4. Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
5. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
6. Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
7. Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
Data Science, Python, TIME SERIES, NLP, LLM
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : (phone number removed) |
Email : | Web:
We're hiring! connect with us on and visit our
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to .
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