Lead Data Scientist - Deep Learning/Machine Learning (2-4 yrs)

Job Description :

Experience :

- 2-4 years of experience

Responsibilities :

Data Analysis and Modeling :

- Utilize Python, TensorFlow, PyTorch, Scikit-Learn, and Scipy to conduct in-depth data analysis and build machine learning models.

- Apply deep learning techniques, including the use of Transformers, to solve complex problems and extract meaningful insights from data.

Natural Language Processing (NLP) :

- Develop and implement NLP models using Spacy, NLTK, and other NLP libraries to extract valuable information from unstructured data.

- Create and fine-tune NLP models for tasks such as sentiment analysis, text classification, and named entity recognition.

Efficiency Improvement :

- Identify opportunities to enhance operational efficiency and cost reduction through data-driven approaches.

- Collaborate with cross-functional teams to implement data-driven solutions that optimize processes and reduce expenses.

Innovation :

- Stay updated with the latest advancements in data science, machine learning, and AI technologies.

- Drive innovation by applying cutting-edge solutions to solve business challenges and explore novel hardware and software options.

Flexibility and Learning :

- Adapt to changing project requirements and technologies swiftly

- Continuously acquire new skills and knowledge to meet the evolving needs of the organization and the industry.

Data Visualization :

- Create informative data visualizations to convey findings and insights to non-technical stakeholders

Qualifications :

- Bachelor's or Master's degree in a relevant field (Computer Science, Data Science, Statistics, etc.).

- 2-4 years of experience in data science and machine learning.

- Proficiency in Python and the specified libraries (TensorFlow, PyTorch, Scikit-Learn, Scipy, Spacy, NLTK).

- Strong background in NLP and deep learning.

- A demonstrated ability to drive efficiency, innovation, and cost reduction through data analysis and modeling.

- Excellent problem-solving skills and a proactive approach to identifying opportunities for improvement.

- Strong communication and collaboration skills.