Data Scientist
Data Scientist576
Applications
576
Applications
About the Job
Skills
Candidates from the following institutes are preferred:
IIM, IIT, NIT, VIT, BITS, Xavier Labour Relations Institute, Narsee Monjee Institute Of Management Studies.
Responsibilities
1. Explore and examine data from multiple diverse data sources.
2. Conceptual modeling, statistical analysis, predictive modeling and optimization design.
3. Understand and work around limitations in analytic models.
4. Data cleanup, normalization and transformation.
5. Hypothesis testing: being able to develop hypothesis and test with careful experiments.
6. Discover hidden insights/embedded patterns and enable business stakeholders to make decisions that are more informed.
7. Help build workflows for extraction, transformation and loading of different data from a variety of sources and enable linking them to existing systems and datasets.
8. Ensure the integrity and security of data.
9. Maintain proper collaboration and communication with the rest of the team world-wide.
10. Provide support for the daily production of the models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones.
Technical & Behavioral Competencies
1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / other science or engineering field.
2. Knowledge of key concepts in Statistics and Mathematics such as Probability Theory, Inference, and Linear Algebra.
3. Knowledge or experience in Machine Learning procedures and tasks such as Classification, Prediction, and Clustering.
4. Programming skills in Python and knowledge of common numerical and machine-learning packages (NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, langchain).
5. Ability to write clear and concise code in python.
6. Intellectually curious and willing to learn challenging concepts daily.
7. Involvement with the Data Science community through platforms such as Kaggle, Numerai, Open ML, or others.
8. Knowledge of big data solutions (Kibana, Hadoop, Spark) is a plus.
9. Proven record of having successfully carried out independent research from exploring large datasets.
10. Knowledge of current Machine Learning/Artificial Intelligence literature.
11. Wide IT culture: OS, parallelization, network, software engineering, new languages.
About the company
Industry
Management Consulting
Company Size
201-500 Employees
Headquarter
Chennai, Tamilnadu
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