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Job Description
- You are seeking a Data Scientist with a solid background in data analysis, machine learning, and visualization. The ideal candidate will excel in Python, Pandas, and Matplotlib, possessing expertise in constructing and refining data-centric models. Additional experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be advantageous.
Your responsibilities will include analyzing and processing extensive datasets utilizing Python and Pandas, designing and refining machine learning models for predictive analytics, crafting data visualizations with Matplotlib and Seaborn to facilitate decision-making, conducting data cleaning, feature engineering, and statistical analysis, handling both structured and unstructured data to derive meaningful insights, and implementing and optimizing NER models for specific applications. Collaboration with diversified teams is essential to propel data-centric solutions.
To qualify for this position, you should hold 1-3 years of professional experience, exhibit a strong command over Python and data science libraries such as Pandas, NumPy, and Scikit-learn, have practical exposure to data analysis, statistical modeling, and machine learning techniques, demonstrate hands-on proficiency in data visualization through Matplotlib and Seaborn, possess a working knowledge of SQL and database querying, and ideally, be familiar with NLP methodologies and NER models. Strong analytical and problem-solving skills are crucial to excel in this role.,
Skills
Data VisualizationPythonData AnalysisData ScienceMachine LearningPredictive AnalyticsStatistical ModelingVisualizationData ScientistAnalyticsSqlStatistical ModelingPandasNatural Language Processing NLPMachine LearningData AnalysisNamed Entity Recognition NERSQLPythonData VisualizationMatplotlibIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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