VDart Inc is the leading global provider of digital solutions, products and talent management company providing digital technology solutions in Automotive, Manufacturing, Energy & Utilities and Healthcare Industries. Led by a strong global team located across 10 countries including USA, Canada, Mexico, Brazil, UK, Japan, Australia & India. We are currently accepting applications from staffing firms for our Preferred Partner Program, where we align niche staffing firms with specific verticals based on their strengths. To apply, please visit: https://www.vdart.com/suppliers/
Title: Data Scientist
San Jose CA
6+ years of progressive experience and emphasis on Data Analytics, Text Mining, Machine Learning, Statistic Modeling, Predictive, Prescriptive Modeling and Natural Language Processing (NLP).
Hands-on experience on Python libraries like NumPy, Pandas, Matplotlib, Seaborn, NLTK, Sci-kit learning, SciPy, TensorFlow, Keras & PyTorch
Extensive experience in Text Analytics, developing different Statistical Machine Learning, Deep Learning, Data Mining solutions to various business problems and generating data visualizations using R, Python and creating dashboards using tools like Tableau.
Regression Analysis (Linear Regression, Lasso Regression, Ridge Regression & Elastic net Regression)
Natural Language Understanding (Sentiment Analysis, Custom Analyzers, Entity Analysis, Word embedding)
Natural Language Processing-NLP (LSA, LDA, TF-IDF, Markov Models, Tokenizers, Analyzers, POS tagging)
Unsupervised techniques (PCA, LDA, LSA using SVD, K-Means, K-Mode, Hierarchical Clustering)
Dimensionality reduction techniques (PCA, SVD, MFA, MCA)
Non-Parametric Fast Learning ML Algorithms (Decision Tress, Random Forest, Gradient Boosting (Xgboost, Light Gradient Boosting, CATBoost), SVM)
Deep Learning Models (Neural Network: ANN, CNN, RNN), Deep Learning Frameworks (Tensor Flow, Keras, H20)
Data Visualization (Tableau, Kibana)
Should have worked on GCP platform and build ML Ops models
Key Skills: Data Scientist, Data Science, Machine Learning, Python, AI, ML, Airtificial Intelligence.
Referral Program: Ask our recruiting team about how you can be a part of our referral program. If you refer a candidate with the desired qualifications and your candidate accepts the role, you can earn a generous referral fee. We want to hire the best talent available and are committed to building great teams and partnerships.
We are Equal Employment Opportunity Employer.
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