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Lead Data Scientist
Data Science, Python, NLP Preprocessing
Hyderabad, Bangalore, Pune, Chennai, Gurgaon
We are seeking a Lead Data Scientist to join our team and lead a project focused on developing novel data science models.
You will be responsible for designing, developing, and implementing data science models and machine learning algorithms, including data pre-processing, training, optimization, and evaluation of models. You will work collaboratively with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training.
Responsibilities
- Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders
- Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems
- Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training
- Design and conduct experiments to evaluate the performance, robustness, and generalization of tune machine learning/deep learning models. Use appropriate metrics and statistical analysis to measure and interpret results
- Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability
Requirements
- Bachelor’s or master’s degree in computer science, Data Science, Statistics, or related field
- Minimum of 8 to 12 years of experience
- Expertisein Machine Learning, Deep Learning, Computer Vision, NLP
- Proficiency in Python
- Experience with deep learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc.
- General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
- Experience in Natural Language Processing (NLP) preprocessing techniques
- Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
- Skills with cloud services (AWS, Google Cloud, Azure)
- Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc.
- Upper-intermediate English level proficiency