Create an industry-changing product from scratch without any technology constraints.
Design, develop and implement advanced data-driven approaches including NLP, machine learning algorithms, text mining, etc.
Design, develop and implement R and D and pre-product prototype solutions.
Selecting features, building and optimizing classifiers using machine learning techniques.
Data mining using state-of-the-art methods.
Processing, cleansing, and verifying the integrity of data used for analysis.
Requirements :
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Experience in handling various data types and structures : structured and unstructured data, validating and cleaning data, and measuring evaluation.
Proficiency in programming languages like Python / C / C++ / Java.
Experience with common data science toolkits, such as Pandas, Jupyter, Spark etc.
Excellence in at least one of these is highly desirable.
Doing ad-hoc analysis and presenting results.
Experience in neural networks, regression, classification, and clustering.
Experience in NLP is a must.
Experience with data visualization tools, such as D3.js, GGplot, etc.
Experience with relational databases and proficiency in using query languages such as SQL.
Experience with NoSQL databases, such as MongoDB, Elasticsearch, etc.
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good problem-solving skills.
Data-oriented personality.
Great communication skills.
Basic Qualifications :
3-6 years of relevant experience in Data Science.
Bachelor's / Master's / Ph.degree in Computer Science.
Fundamental understanding of Data Science theory and concepts
(ref : hirist.tech)
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Senior Data Engineer • Mumbai
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