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Data Scientist with Machine Learning Expertise
2 months ago
We are seeking a highly skilled Data Scientist to join our team at LTIMindtree Digital Engineering and Assurance. As a Data Scientist, you will be responsible for analyzing complex datasets, building predictive models, and deriving actionable insights to drive business decisions.
Key Responsibilities:- Analyze large complex datasets to identify trends, patterns, and correlations.
- Develop and implement machine learning algorithms and models to solve business problems and optimize processes.
- Build and train deep learning models for tasks such as image recognition, natural language processing, and recommendation systems.
- Apply NLP techniques to extract insights from unstructured text data and develop text-based predictive models.
- Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
- Evaluate and implement cutting-edge technologies and algorithms to improve model performance and scalability.
- Communicate findings and insights to stakeholders through clear and compelling data visualizations, reports, and presentations.
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Master's or PhD preferred.
- Proven experience as a Data Scientist or similar role with a strong portfolio of successful projects.
- Strong in Python programming and data manipulation libraries such as Pandas, NumPy, and Scikit-learn.
- Deep understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and ensemble methods.
- Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
- Solid understanding of NLP concepts and experience with libraries such as NLTK, spaCy, or Transformers.
- Familiarity with OpenAI technologies and experience implementing solutions using OpenAI APIs and tools is a plus.
- Strong analytical and problem-solving skills with the ability to translate business requirements into data-driven solutions.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.
- Demonstrated ability to work on multiple projects simultaneously and deliver high-quality results under tight deadlines.
