- Will work as a part of a large delivery team to develop solutions and implement Data Model
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Analyzes large datasets to extract insights, build models, and support data-driven decision-making.
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Have strong communication skills, ability to interact with business/ clients and SME's to understand the requirements and create scope and design spec.
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Perform task like Data Collection and Preparation, EDA, Model Building, Analysis, visualization
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Work as data strategist to identify and integrate new datasets
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Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
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Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
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Analyze data for trends and patterns, and interpret data with clear objectives in mind
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Implement analytical models in production by collaborating with software developers and machine-learning engineers
Required Skills:
Programming Languages – Python (main), R (optional ), SQL
Must know python frameworks – Pandas, NumPy, Polars, Scikit-learn, XGBoost , Scipy
Machine learning - algorithms, model building, model training model evaluation
Deep learning - Basics (ANN, LSTM etc)
Visualization & BI – Matplotlib, Seaborn, Plotly, Tableau, Power BI.
Cloud Based ML Services – AWS (S3, SageMaker), GCP (BigQuery), Azure ML (any one)
Additional tech good if known - ETL, Big data, pyspark, hadoop
Can participate in several organization-wide programs, including a compulsory innovation-based Continuous improvement program providing you platforms to showcase your talent.
- Insurance benefits for the self and the spouse including maternity benefits + Covid specific insurance.
- Ability to work on many products as the organization is focused on working with several ISVs.
- Fortnightly sessions to understand the directions of each function and an opportunity to interact with the entire hierarchy of the organization.
- Celebrations are a common place - physical or virtual. Participate in several games with your co-workers
- Voice your opinions on topics other than your work - Chimera Talks.
- Usual annual year-end bonuses
- Hybrid work options - Work from home and office.