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Senior Data Scientist (Proactive)
Experience: 6-9 with Primary Skills: python, NLP, LLM, Panda, Numpy
Job Description:
Strong background in machine learning (unsupervised and supervised techniques) with significant
experience in text analytics/NLP.
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes,
SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
Strong programming ability in Python with experience in the Python data science ecosystem: Pandas,
NumPy, SciPy, scikit-learn, NLTK, etc.
Good knowledge of database query languages like SQL and experience with databases
(PostgreSQL/MySQL/ Oracle/ MongoDB)
Excellent verbal and written communication skills,
Excellent analytical and problem-solving skills
Degree in Computer Science, Engineering or relevant field is preferred.
Proven Experience as Data Analyst or Data Scientist
Good To Have:
Familiarity with Hive, Pig and Scala.
Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc.
Experience with using cloud technologies on AWS/ Microsoft Azure.
Job Types: Full-time, Permanent
Benefits:
Work Location: In person
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