Sr Data Scientist

Key Skills

Algorithms, AWS Sagemaker, Data Analysis, Data science techniques, Databricks, IBM Watson Suite, Java Programming, Keras software library, Machine learning techniques, Natural Language Processing (NLP), Pandas, PySpark, Python Programming, R Programming, Scikit-learn, SQL, TensorFlow, XGBoost

Job Description

You will design and develop inventive products & solutions to drive innovation leveraging AI/ML/DL models

• You’ll support end-to-end data science project activities including requirement analysis, explorative data analysis, data wrangling, feature engineering , algorithm selection, model fitting/validation/verification, visualization , hyper parameter tuning, inference analysis, model deployment.

• You’ll use High-Performance Computing (HPC) platform to build , test , deploy AI/ML/DL models to target specific business objectives and create other business opportunities.

• You’ll work with several frameworks including Spark, DASK, sci-kit learn, Xgboost, TensorFlow, Keras, PyTorch, Pandas, PyArrow.

• You’ll work with several data science related tools, accelerators, and products & solutions that help with AI/ML/DL modeling.

• You’ll provide post deployment support including monitoring, troubleshooting, improving model efficiency, and scaling the solution within the HPC platform.

• You’ll work in a highly collaborative, team environment, and collaborating with multiple stakeholders including business, product development , architecture, and engineering teams.

• You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization

Qualification:

• The ideal candidate will have a PhD or master’s degree in Economics in Statistics, Data Science, Computer Science, Applied Mathematics, or related field.

Preferred Skills, Experience:

• 3+ Experience with applying macroeconomic and microeconomic theories to industry cases, time series econometrics and related
• 5+ years’ experience with building, optimizing, and scaling NLP models that comb through copious amounts of data
• 5+ year experienced with drawing insights from sparsely labeled textual data and ability to leverage domain knowledge as well as ontologies to improve model performance
• 5+ years’ experience working with different algorithms using Python (including PySpark, TensorFlow, Keras, scikit-learn, Xgboost, DASK, h2o ) and/or R.
• Strong knowledge of statistical data analysis and machine learning techniques (e.g., SVM, regression, classification, clustering, time series)
• High familiarity with financial analytics, time series econometrics, payment processing and marketing strategies targeting Small and Mid-Market merchants.
• High familiarity with data platforms and applications such Snowflake, AWS Sagemaker , IBM Watson , Databricks