Data Scientist
Responsibilities:
- Analytics Solution Design and Development
- Design and implement innovative solutions using statistical models, machine learning and other data mining techniques.
- Handle challenges of analysing real-world data, such as incompleteness, bias, class imbalance and high volatility.
- Create effective visualizations and dashboards to communicate insights with end-users.
- Support the development and deployment of scalable and robust software solutions, working with IT solutions engineers.
- Engage with customer management teams to understand business requirements, project scope and develop a sound project plan.
- Think strategically and creatively, to exploit data science for a competitive advantage.
- Manage project implementation (for analytics scope only) to ensure that solutions are delivered on time and on requirements.
Knowledge Development and Management
- Research and experiment with new advances in analytical methods, algorithms and tools to deepen and develop new capabilities (i.e. deep learning, optimization, parallel computing).
- Elevate team competencies by sharing the latest trends and best practices.
- Support knowledge management by ensuring that learnings and insights arising from conferences, projects and industry engagements are documented.
Knowledge, Skills & Experience
- 2-5 years experience in Data Science, Analytics.
- Experience with Python, including packages such as NumPy, Pandas and scikit-learn.
- Experience in training, selecting and tuning machine learning models, employing techniques like data preparation, feature engineering, cross-validation and bagging/ boosting.
- Experience in data visualization tools or libraries such as Tableau, Power BI or packages in Python or Javascript.
- Experience with RDBMS such as MySQL, PostgreSQL, MongoDB, MS SQL Server.
Company Reg. No.: 201131609D | Licence No.: 11C4684 | Reg No: R1655133, Ashraf Ali
