Data Scientist (Fresher)

• Company Dice
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

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
• Master of Technology in Data Science specialization