Data Scientist

Responsibilities
Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services.
Being a core technical member of companys Analytics team, who understands business problems and requirements and designs end-to-end analytics solution.
Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc.,
Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
Collaborates with model developers to implement and deploy scalable solutions.
Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.

Qualification & Other Attributes:
3+ years data science experience in the relevant industry or similar role in the past organization
In depth knowledge of data analysis, machine learning algorithms, statistics, optimization.
Strong coding experience with at least one of the programming languages namely R or Python
Experience working structured as well as unstructured datasets is highly preferred.
Excellent written and verbal communication skills along with strong desire to work as a team.
Attitude to thrive in a fun, fast-paced start-up like environment.
Additionally, having prior experience working with databases Oracle, MongoDB is also preferred.
Prior experience in train and deploy models with AWS is a plus.
Optional: programming in C, C++, Java, .Net