Data Scientist

Location-

Job Title : Data Scientist

We are looking for a Data Scientist who is Self-motivated, able to upskill to industry demands and has good analytical skills. The candidate should be able understand and adept at handling large data sets and develop & evaluate models to test the effectiveness of the models. Candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, techniques to develop models using labelled and unlabelled data, generating simulation data. Candidate should be able to work with all types of data – text, numeric, structured, unstructured, image, voice or video etc.

Responsibilities

• Analyse data sets from different products from production and identify patterns.
• Turn raw data into meaningful information that enterprises can use to improve their businesses
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyse model performance and data accuracy.

Qualifications

• Strong problem solving skills with an emphasis on product development.
• Experience in Gen AI
• A drive to learn and master new technologies and techniques.
• Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets.
• Experience working with different data architectures. Knowledge and experience in statistical and data mining techniques.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Prior experience in working on zero touch solutions can be an advantage
• We’re looking for someone with 3-5 years of experience manipulating data sets and building statistical models, has a Bachelors or master’s in computer science or another quantitative field, and is familiar with the following software:
• Coding knowledge and experience with several languages Python, R
• Experience with Python and common data science toolkits like Jupyter, Pandas, Numpy, Scikit-learn, TensorFlow, Keras etc.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience in using different types of Databases - RDBMS, Graph, No-SQL etc.