Senior Data Scientist - KPO

- search, computer science or any other quantitative discipline.

- Advanced Python.

- SQL proficiency.

- Extensive experience in building, implementing and operationalizing end to end data science solutions with clearly demonstratable return on investment.

- Expertise in building statistical and machine learning models for regression, forecasting, dimensionality reduction, anomaly detection & classification/clustering.

- Sound foundational knowledge in applied statistics with experience in designing experiments and performing hypothesis testing.

- Experience with data visualization (Matplotlib etc.) and BI tools (PowerBI preferred).

- Clear understanding of modern data stores architecture and concepts of structured and unstructured data types.

- Strong relationship management skills and ability to collaborate with people at all levels of the organization.

- Strong communication skills both written and verbal; ability to effectively communicate technical concepts to non-technical audiences.

- Performs well in an agile environment with competing priorities and multiple projects.

- Excellent written and verbal proficiency in English.

Nice to Have Skills:

- Exposure to optimization and simulation techniques (preferred), deep learning algorithms (Tensorflow CNN, RNN etc.) (Nice to have) or NLP/sentiment analysis (Nice to have).

- Interest in our industry and its evolution. This includes someone who is interested in solving new customer problems, the development of processes and discovering new market opportunities.