Location- Bangalore
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.
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:
o Coding knowledge and experience with several languages Python, R
o Experience with Python and common data science toolkits like Jupyter, Pandas, Numpy, Scikit-learn,
TensorFlow, Keras etc.
o Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random
Forest, Boosting, Trees, text mining, social network analysis, etc.
o Experience in using different types of Databases - RDBMS, Graph, No-SQL etc.
o Strong experience in Generative AI
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