Data Scientist

Role - Data Scientist

Location Sunnyvale, CA (Hybrid)

No H1B, CPT

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.