Bengaluru East, Karnataka, India, India
October 2, 2024
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- Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 7+ years of experience in data science and machine learning with a strong focus on model development and deployment.
- Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference.
- In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning.
- Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow.
- Experience with cloud computing platforms, particularly Google Cloud Platform (GCP).
- Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau.
- Strong communication and presentation skills, both written and verbal.
- Design and implement machine learning models using Python libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow.
- Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability.
- Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling.
- collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services.
- Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence.
- Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques.
- Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD).
- Experience with data warehousing and data lakes solutions like BigQuery or Snowflake.
- Familiarity with real-time data processing and streaming analytics.
- Passion for learning and staying at the forefront of data science and machine learning advancements.
