Data Scientist
Data Scientist
Posted on :
14-10-2024
Employer Active
1 Vacancy
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Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
14-10-2024
Job Description
Responsibilities:
- Collaborate closely with business stakeholders including executives managers and subject matter experts to understand their challenges objectives and opportunities for leveraging data science solutions.
- Proactively identify and define potential business use cases where data science techniques and models can provide valuable insights and drive impactful outcomes.
- Conduct indepth discussions with business users to capture and document detailed requirements ensuring a clear understanding of desired outcomes and deliverables.
- Utilize advanced analytical techniques to explore and analyze relevant data sets uncover patterns correlations and trends that can inform the development of effective data science solutions.
- Create visually compelling dashboards reports and presentations to communicate datadriven insights to stakeholders in a clear and understandable manner.
- Lead the design and development of data science models algorithms and prototypes to address identified business use cases considering scalability feasibility and technical constraints.
- Collaborate with data engineers and software developers to implement and operationalize data science models into production environments ensuring smooth integration with existing systems and processes.
- Conduct rigorous evaluation and testing of implemented models to ensure accuracy reliability and alignment with business requirements. Make necessary refinements and optimizations as needed.
Requirements
- A degree in Engineering Statistics Data Science Applied Mathematics Computer Science Business Analytics or related technical field.
- Minimum of 2 4 years of relevant experience.
- Proficiency in statistical analysis machine learning techniques programming languages such as Python or R and Deep Learning frameworks such as TensorFlow PyTorch. Familiarity with data visualization tools and SQL is desirable.
- Strong business understanding and the ability to translate business requirements into data science solutions effectively.
- Excellent interpersonal verbal and written communication skills to engage with business users explain technical concepts and build rapport with stakeholders at all levels of the organization.
- Strong analytical thinking and problemsolving abilities with the capability to transform complex business challenges into actionable data science use cases.
- Proven experience in managing endtoend data science projects including requirements gathering solution design implementation and post deployment support.
Benefits
- Leaves: Annual Leave Medical Leave Hospitalization Leave Special Leave.
- Medical Benefits Medical Insurance for Outpatient & Inpatient inclusive for dependents.
- Dental and Optical benefits.
- Group Term Life & Personal Accident Insurance Scheme.
- Executive Health Screening for confirmed executive.
- Flexible Working Arrangement/Hybrid Working Arrangement
- Salary increment based on individual performance.
- Bonus based on company & individual performance.
- Career Development: Training and certification sponsored by the company Annual Talent Review Career Planning.
- Rewards and recognition: Long Service Award.
- Additional Benefits: Staff Discount (i.e. ThemePark Hospitality Education Property Medical Retail Food & Beverages) Sports and Recreational Family Day Annual Dinner Flexible Working Arrangement for working mothers.
- Open communication. Young energetic and fun working environment.
Employment Type
Full Time
Key Skills
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