Python Data Scientist

Responsibilities

· 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

· Understands the Data science methodologies to the existing enterprise services

· to bring in the cognitive edge as the differentiators

Skills and Qualifications

· Solid knowledge of several statistical modeling and learning techniques. Hands

· on Coding in Python/R

· Expertise in use of algorithmic / quantitative techniques to solve problems

· across following four areas

· Structured data analysis and programming

· Unstructured content mining

· Natural language processing

· Machine learning

· 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 Anaconda, NumPy,

· MatLab, Pandas, Seaborn, SciKit-Learn, NLTK, etc . Excellence in at least one

· of these is highly desirable

· Good to have experience in Deep learning techniques namely RNN, LSTM,

· CNN etc,, and tools like Tensorflow, Keras.

· Experience on MLOps for model development, release, monitoring and

· support of the models

· Great communication skills

· Experience with data visualization tools, such as D3.js, GGplot, etc.

· Good applied statistics skills, such as distributions, statistical testing,

· regression, etc.

· Good scripting and programming skills

· Proficiency in using query languages such as SQL, Hive, Pig etc.,

· Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

· Experience working with enterprise architecture for the complex solutions

· solving business problems and complying to organization policies