| Data Scientist onsite fromday1 hybrid role in Sunnyvale: 70 per HR at Remote, Remote, USA |
| Email: [email protected] |
| From: Jay, Brillius [email protected] Reply to: [email protected] Role - Data Scientist Location Sunnyvale Skill Set: Experience on AI/ML model development competencies inclusive (but not limited to) of data science models as below: Regression Models Linear & Logistic. Customer profiling, segmentation & Clustering (Kmeans, Hierarchical). Decision Tree Time Series forecasting Statistical methods such as ARIMA, Exp. Smoothing Methods, ML Forecasting methods such as LSTM, Prophet, Neural Prophet Bayesian Networks Neural Network ANN, RNN, CNN, GNN Factor Analysis/Principal Component. Bagging & Boosting Algos: Random Forest, Gradient Boosting, AdaBoost, XGBoost, CatBoost, LightGBM etc. Other techniques KNN, SVM NLP Extensive hands on experience with Python, SQL, MS Excel. Practical work experience of machine learning model development & deployment in Python Exposure to Operations Research concepts Mathematical modeling Exposure/Experience to ML Ops concepts Job Description: Ability to lead business consulting discussions with business stakeholders Requirement gathering from stakeholders & ability to translate business problems to analytical problem and suggest analytical solutions/approach. Driving end-to-end analytics delivery & develop strategies for effective data analysis and reporting Apply industry knowledge to interpret data and improve performance Data science solution development & manage and execute data science PoCs, Pilots and projects Statistical model (predictive & prescriptive) development on R Studio, Python using various statistical & machine learning techniques/algorithms. Test/train the model, Improve Model accuracy, Monitor model performance. Prepare client consumable presentations with actionable insights for data driven decision making. Collaborate with Data Architects/Database programmers. Make client presentations & engage with clients in joint problem solving. Keywords: artificial intelligence machine learning rlang |
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| Wed Nov 30 01:58:00 UTC 2022 |