What are the responsibilities and job description for the Senior Data Scientist position at Pransu Tech Solutions?
Senior Data Scientist
Location:- Washington DC under 50 miles
Skype hire/Need LinkedIn
Location:- Washington DC under 50 miles
Skype hire/Need LinkedIn
- At least six years of hands-on experience developing, deploying, and maintaining AI/ML products within a large, professional, or academic organizations.
- Bachelor’s degree with specialization in a technology related field (Computer Science preferred, Master’s preferred) from an accredited college or university, or equivalent combination of directly related education and/or experience.
- Advanced proficiency in coding and experience in python and several other programming languages.
- Advanced knowledge and understanding in statistical modeling and data analysis techniques, platforms, and software.
- Advanced analytical and problem-solving skills.
- Advanced knowledge of AI/ML, NLP and Generative AI technologies, frameworks, and solutions.
- Advanced knowledge of cloud data platforms, technologies, frameworks, and solutions.
- Demonstrated ability to work collaboratively with cross- functional teams and communicate effectively with both technical and non-technical audiences.
- Hands-on experience design, developing and deploying AI/ML products into a cloud environment.
- Proficiency of existing and emerging trends within the AWS cloud environment
- Expert proficiency in Python data science development.
- Advanced experience with Natural Language Processing (NLP) techniques like Text Normalization, Named Entity Recognition, and Part-of-Speech (POS). Familiarity with more advanced techniques such as word embeddings. Specific experience popular AI/ML frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost. Development of New Machine Learning and AI Features/Products:
- Collaborate with teams to understand their unique situations, challenges and opportunities. Utilize the knowledge gained to support the curation of potential new opportunities, leveraging AI/ML and Generative AI technologies.
- Take a hands-on, iterative approach in researching, designing, and building new machine learning and AI features/products.
- Identify the most valuable models and methodologies, implement and train the models, and contribute to their deployment into the production environment.
- Establish a detailed technical understanding of existing products that leverage AI/ML and Generative AI technologies – including the training datasets, model training methodologies, technical infrastructure, and model monitoring approach.
- Work collaboratively with product owner and architect to maintain a detailed roadmap for AI/ML epics, features, and stories – organizing the tangible work needed to maintain and improve upon our products.
- Monitor accuracy and precision of models over time.
- Lead efforts to retrain models by expanding upon underlying training datasets, introducing new features, and working with others to ensure training data is of highest quality.