-Minimum 2 years of experience in developing and deploying machine learning, deep learning, NLP solutions.
-Experience with common data science toolkits, such as R, NumPy, Sci-Kit, MatLab; mastering at least one of these is mandatory
-Proficiency with any NoSQL database such as MongoDB, Cassandra, Hadoop/HBase (used within projects working with data lakes)
-Good awareness of entire machine learning/ predictive modeling & implementation process: Model design, feature planning, system infrastructure, production setup and monitoring, and release management.
-Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
-Experience in selecting features, building and optimizing classifiers using machine learning techniques.
-Prior experience with data visualization tools, such as D3.js, GGplot, etc.
-Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc.
-Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
We also value:
-Proven ability to learn and work with the latest data technologies
-Good analytical skills
-Excellent communication and interpersonal skills
-Ability to drive the technical aspects of your projects
-Able to act as the technical change agent in the project, mentoring less experienced peers