Quenext Decision Science Technology Pvt Ltd | Data Scientist
1 day ago
Role Description
This is a full-time on-site role for a Data Scientist in Quenext Decision Science Technology Pvt Ltd, in Bengaluru. The Data Scientist will be responsible for performing data analysis, applying statistical methods, utilizing data analytics techniques, and creating data visualizations. The role involves working closely with experts, industry heads, and regulators to obtain knowledge and insights for research and policy development.
1. Data Collection and Analysis:
multimedia content.
- Gather data from various sources, including structured databases, unstructured text, and
- 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.
Qualifications
- Data Science, Statistics, and Data Analytics skills
- Data Visualization and Data Analysis skills
- Experience in applying statistical methods
- Strong analytical and problem-solving abilities
- Excellent programming skills in languages such as Python or R
- Proficiency in data manipulation and querying using SQL
- Experience with machine learning algorithms and techniques
- Ability to communicate complex findings in a clear and concise manner
- Master's degree in Data Science, Statistics, or related field
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