We are looking forward to hire Data Scientist who thrives on challenges and desires to make a real difference in the business world. With an environment of extraordinary innovation and unprecedented growth, this is an exciting opportunity for a self-starter who enjoys working in a fast-paced, quality-oriented, and team environment.
What you should have?
Minimum 3 years of relevant experience in data analytics.
Experience in developing minimum viable products related to data analytics.
Qualification in statistics or mathematics.
Any data science certifications.
Good understanding of ML & DL algorithms and frameworks (Scikit-learn, Tensorflow/Keras/ PyTorch/ H2O, etc.) Should have worked on diverse projects related to NLP and computer vision.
Well-versed with data science methodologies and frameworks (NLTK, RASA, Spacy, OpenCV, Scikit-learn, Tensorflow) Good proficiency in Python/ R/ Tableau/Power BI etc.
Understanding of RDBMS concepts - SQL, Oracle Willing to work in a challenging environment.
Strong communication skills.
What you will do?
Push the frontiers of what is possible in the area of machine learning to create new Incubation.
Explore, understand, and implement the most recent algorithms and approaches for supervised and unsupervised machine learning and deep learning.
Comfortably handle multi-terabyte data sets in scale-up and scale-out environments.
Understand business processes that create and consume data to be able to select the best approaches, evaluate their performance, and assess business relevance.
Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation.
Communicating the relevance of implemented systems and achieved results in a visual and consistent way.
Work closely with the team (product owner, designers, and other developers) and customers to holistically understand business and user requirements and derive adequate application development concepts.
Performing quality assurance tasks.
Working together with partners and customers Solve complex integration issues.
Ability to work in global teams with different time zones.
Immerse yourself quickly in new topics, terminology, and development tasks.