Job Description
The Senior Data Scientist will be required to outline work requirements, work hands-on and collaborate within the team and with customer stakeholders to deliver Data Science projects. The Senior Data Scientist should also harness his/her mastery of Data Science to consult on various aspects of projects and develop and coach junior members of the Data Science team.
To be successful in the role, you should be able to contribute to the Organization's expansion and work towards building a synergistic team of dedicated Data Scientists.
You will be actively supporting Demand Creation and Pre-Sales Activities across multiple industries. This includes Requirements Solicitation, Solution Design, Solution Definition and Presentation to senior customer stakeholders.
Responsibilities of the incumbent will include:
- Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests;
- Colating and cleaning data from various entities for use in later phases of the project;
- Proven expertise in ensuring successful completion of projects;
- Providing Junior Data Scientists with practical guidance as required;
- Selecting and employing advanced statistical procedures to obtain actionable insights;
- Cross-validating models to ensure generalizability;
- Producing and disseminating non-technical reports that detail the successes and limitations of each project;
- Suggesting ways to convert insights obtained into informed business strategies;
- Staying informed about developments in Data Science and adjacent fields to ensure relevance of outputs.
Qualifications
- Advanced Degree in Data Science, Statistics, Computer Science or other similar qualifications;
- 4-5 years of hands-on experience as a Data Scientist;
- Proficiency in Python or R wherein the former will be preferred;
- In-depth understanding of SQL;
- Competent in machine learning principles and techniques including deep learning;
- Experience in Computer Vision and / or Natural Language Processing (NLP) a plus;
- Demonstrable history of devising and overseeing data-centered projects;
- Ability to relay insights in simple terms and convert them into informed business decisions;
- Natural ability to build teams and harness teams' potential effectively;
- Inspirational leadership skills with the ability to coach and mentor team members and foster a healthy, vibrant work environment.