As a Lead Data Scientist, your main duties will involve overseeing the data science team, organizing project plans, and constructing analytical models. Demonstrating exceptional problem-solving skills and proficiency in statistical analysis is crucial for this role.
If you possess the ability to align our data products with our business objectives, we are eager to meet you. Ultimately, your objective will be to optimize our products and support strategic business decisions through effective utilization of our data resources.
We are actively seeking a Lead Data Scientist who has a minimum of 6 years of experience implementing quality assurance of software-based processes and analytical outputs. You must have experience of using machine learning or artificial intelligence technologies.
- Advanced degree in data science, statistics, computer science, or similar.
- Extensive experience as a data scientist.
- Proficiency in R or Python, where the former is preferred.
- In-depth understanding of SQL.
- Competent in machine learning principles and techniques.
- Demonstrable history of devising and overseeing data-centered projects.
- Ability to relay insights in layman’s terms, such that these can be used to inform business decisions.
- Outstanding supervision and mentorship abilities.
- Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
- Compliance with prevailing ethical standards.
- Great communication skills.
- Good scripting and programming skills.
Roles and Responsibilities
- You should also harness your mastery of Data Science to consult on various aspects of these and other projects.
- To be successful as a Lead data scientist, you should use data to ultimately inform and promote the company’s expansion.
- Top-notch data scientists will assume a prominent role in the development of junior staff.
- Formulating, suggesting, and managing data-driven projects that are geared toward furthering the business’s interests.
- Collecting and cleaning data from various entities for later use by junior data scientists.
- Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
- Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
- Selecting and employing advanced statistical procedures to obtain actionable insights.
- Cross-validating models to ensure their generalizability.
- Producing and disseminating non-technical reports that detail the successes and limitations of each project.
- Suggesting ways in which insights obtained might be used to inform business strategies.
- Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
- Adherence to internal QMS (Quality Management System) procedures & Information Security Controls according to the implemented ISMS (Information Security Management System) of the Organization.
- Reporting incidents to the Manager or Supervisor.
- Email: [email protected]