Senior Data Scientist
2 weeks ago
Career Horizons is seeking a highly motivated and seasoned Data Scientist to join our team in the financial planning analytics department. As a key member of our team, you will be responsible for acquiring a deep understanding of business problems and translating them into appropriate business solutions.
Key Responsibilities- Develop data science solutions, including algorithms and statistical predictive models to identify business challenges and opportunities.
- Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing practical business results.
- Work with business partners using a collaborative, agile approach to identify possible business opportunities and devise the appropriate modeling approach or framework.
- Develop mathematical, analytical, optimization, and artificial intelligence or machine learning models to support evidence-based decision making.
- Examine, interpret, and report analytical results in both written reports and in oral presentations to varied audiences.
- Bachelor's degree in Computer Science, Electrical Engineering, or any related field of study or a combination of education and equivalent experience.
- At least 4 years of modeling working experience in a quantitative field such as Economics, Statistics, Operations Research, Applied Mathematics, or work equivalence.
- At least 4 years hands-on experience in any statistical, econometric, engineering analysis or modeling, large-scale optimizations, artificial intelligence, machine learning, data mining, and processing.
- Proficient in some of the commonly used programming languages and software packages, such as Python, R, Spark, MATLAB, Scala, Java, etc., and/or data-warehouse & visualization tools such as Snowflake, QlikView, Qlik Sense, Power BI, Tableau, WebFOCUS.
Career Horizons offers excellent career progression opportunities locally as well as globally. We understand the importance of workplace values and culture where we strongly encourage employees to develop their strengths and recognize their achievements accordingly.
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