Responsibilities :

- Create an industry-changing product from scratch without any technology constraints.

- Design, develop and implement advanced data-driven approaches including NLP, machine learning algorithms, text mining, etc.

- Design, develop and implement R and D and pre-product prototype solutions.

- Selecting features, building and optimizing classifiers using machine learning techniques.

- Data mining using state-of-the-art methods.

- Processing, cleansing, and verifying the integrity of data used for analysis.

Requirements :

- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

- Experience in handling various data types and structures: structured and unstructured data, validating and cleaning data, and measuring evaluation.

- Proficiency in programming languages like Python/C/C++/Java.

- Experience with common data science toolkits, such as Pandas, Jupyter, Spark etc.

- Excellence in at least one of these is highly desirable.

- Doing ad-hoc analysis and presenting results.

- Experience in neural networks, regression, classification, and clustering.

- Experience in NLP is a must.

- Experience with data visualization tools, such as D3.js, GGplot, etc.

- Experience with relational databases and proficiency in using query languages such as SQL.

- Experience with NoSQL databases, such as MongoDB, Elasticsearch, etc.

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Good problem-solving skills.

- Data-oriented personality.

- Great communication skills.

Basic Qualifications :

- 3-6 years of relevant experience in Data Science.

- Bachelor's/Master's/ Ph.degree in Computer Science.

- Fundamental understanding of Data Science theory and concepts