Tagbin - Senior Data Scientist

- Building a Generic Machine Learning Infrastructure.

- You will advocate, evangelize and build data-fuelled products.

- You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.

- You will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.

- You will lead applied analytics initiatives that are leveraged across the breadth of our solutions.

- You will research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.

- Understanding of Natural Language Processing in order to understand user.

- Building recommendation engine based on user activity.

- As our data scientist, you will provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization.

Required Skill Set:

- You should have clear understanding in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline.

- You must have a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.

- You should be able to solve complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and technical skills.

- You must be passionate about asking and answering questions in large datasets, and you are able to communicate that passion to product managers and engineers.

- You must have a keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data.

- You should propose analytics strategies and solutions that challenge and expand the thinking of everyone around you.

- You should be an expert in analyzing large, complex, multi-dimensional datasets with a variety of tools. You should be accomplished in the use of statistical analysis environments such as R, MATLAB.

- You should be comfortable with relational databases as you are with Hadoop-based data mining frameworks. You should be familiar with SQL, MongoDB, Python, Java and C/C++.

- You should desire a fast paced, test-driven, collaborative and iterative engineering environment. You love learning, data, scale and agility.

- You must excel at making complex concepts simple and easy to understand by those around you. You- re driven to show the world the power of applied analytics.