Lead Data Scientist

What you’ll do:

• Work with founders and business stakeholders to translate business objectives into clearly defined technical roadmap.
• Own the end-to-end process, from recognizing the problem to implementing the solution.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques and then build the models that are accurate and robust to solve the problem.
• Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.

Skills and Qualifications:

• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. One shall have a strong background in machine learning (unsupervised and supervised techniques), understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modelling.
• Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.
• Understanding of GenAI and AI governance aspects is a must.
• Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.

Why us?

• We’re building a great product, and we are genuinely excited to create the disruption in the market!
• There is a huge opportunity to show immediate impact, build products from scratch, and be part of this enthralling experience.
• Amazing work culture, learnings & opportunity to work closely with technology entrepreneurs.