Data Scientist - ML/DL/NLP - Energy Sector Startup

Key Responsibilities:

Your responsibilities will include the following -

1. Data Collection and Analysis:

- Gather data from various sources, including structured databases, unstructured text, and multimedia content

- Clean, preprocess, and validate data to ensure its quality and reliability

- Apply statistical and analytical methods to extract meaningful patterns and insights

2. Machine Learning and Deep Learning:

- Develop and implement machine learning models and algorithms.

- Leverage deep learning techniques for tasks such as image recognition, natural language understanding, and sentiment analysis.

- Use frameworks like TensorFlow, PyTorch, or Keras to build and train neural networks.

3. Natural Language Processing (NLP):

- Apply NLP techniques to process and understand human language

- Work with text data, sentiment analysis, named entity recognition, and language modelling

- Build chatbots, recommendation systems, RAG and language translation models

4. Image Recognition and Computer Vision:

- Design and implement image recognition systems using convolutional neural networks (CNNs)

- Process and analyse visual data from images and videos

- Solve problems related to object detection, segmentation, and image classification

5. Predictive Modelling and Forecasting:

- Create predictive models to forecast trends, or business outcomes

- Use time series analysis, regression, and ensemble methods

- Evaluate model performance and iterate for improvements

6. Data Visualization and Communication:

- Present findings and insights to stakeholders using clear and compelling visualizations

- Communicate complex technical concepts to non-technical audiences

- Collaborate with cross-functional teams to drive data-driven decision-making

7. Database Management:

- Design and maintain databases to store and retrieve large-scale data efficiently. Optimize data storage, indexing and query performance