- 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.
- 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.
- 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.
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Data Scientist - Singapore - LMA RECRUITMENT SINGAPORE PTE. LTD.
Description
Roles & ResponsibilitiesData Scientist
Responsibilities:
Knowledge Development and Management
Knowledge, Skills & Experience
Company Reg. No.: D | Licence No.: 11C4684 | Reg No: R1655133, Ashraf Ali
Tell employers what skills you haveTableau
Machine Learning
MongoDB
Pandas
PostgreSQL
Knowledge Management
MySQL
Data Mining
SQL
SQL Server
Python
Customer Management
Data Science
Parallel Computing
Power BI
Data Visualization