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Senior Data Scientist

Company Name Confidential

Keywords / Skills : Data Science, Data Scientist, Data Mining, Machine Learning, Data Analysis, Data Extraction, Information Retrieval, Predictive Analysis, Deep Learning, NLP, Python, Python Django, Data Analyst, Artificial Intelligence

8 - 15 years
Posted: 2019-04-16

Job Description
Urgent Requirement of Data Scientists / Data Analysts for MNCs

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications
• Experienced in Machine/Deep Learning (implementation and deployment of solutions) using Linear/Logistic Regression
• Should be strong in Natural Language Processing (NLP) & AI solutions like Virtual Agents, inference engines, stream monitoring, intelligent search, ontologies/knowledge representations
• Hands-on experience with statistical packages and ML libraries
• Expert in either of the languages (C, C++, Java, Scala, Python, R) and Big Data frameworks (Hadoop or Spark) and cloud infrastructures
• Experience in any of the key AI platform, e.g. IBM Watson, Microsoft Azure, Google Api.Ai, Amazon, etc
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
• Great communication skills
• Experience with data visualisation tools, such as D3.js, GGplot, etc.
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills
• Data-oriented personality

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