Requirements
Experience translating high-level project requirements into technical tasks. Data manipulation and data engineering experience involving structured and unstructured data. Data manipulation expertise involving data extractions, data matching between multiple systems, transformations, cleansing, and loading. Experience with big data and cloud platforms and toolset. Ability to engineer and create complex research datasets by manipulating typically large volume transactional data for use by operations research analysts, economists and statisticians in advanced analytical research and studies. Experience in developing predictive, prescriptive, optimization, and forecasting models, including the use of contemporary techniques such as support vector machines, neural networks, and gradient boosting. Experience in interpreting results from statistical and mathematical models.
Experience in advance data visualizations and interpretation.
Skills/Software
Data Modeling, NLP and Machine Learning experience Required: SQL Server (preferable in distributed environment, e.g. Greenplum, Apache Hawq). Required: Experience in R, Python, or SAS for complex data manipulation, statistical analysis, and machine learning. Required: Experience with data visualization tools (e.g., Tableau, Bokeh, D3) or elastic stack (Kibana). Experience with contemporary machine learning libraries, including Keras, TensorFlow, PyTorch, MXNet, or MADlib. Experience using peer-collaboration tools, e.g., Confluence. Experience using GIT or other version control systems.
Email your resume to
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📌 Data Scientist (Ajmer)
🏢 VALSA TECH
📍 Ajmer