Responsibilities
- Work with cutting-edge data-driven solutions to client problems.
- Design and implement predictive statistical, machine learning, and optimization models to solve business problems.
- Develop, evaluate, and deploy new algorithms and methods.
- Understand clients’ processes and communicate your solutions and results to stakeholders and clients.
Qualifications
- Bachelor’s Degree in an appropriate field of study or equivalent work experience
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Experience in using statistical computer languages ( Python, SLQ, etc.) to manipulate data and draw insights from large data sets
- A strong passion to identify and solve business problems using data science techniques
- Troubleshooting and analytical skills
- Good communication, storytelling, presentation, and collaboration skills
- A good team player
Benefits
- Work from anywhere
- 10 days of vacation leave per year (1st year prorate)
- Project Success Celebration
- Team building Activity and Company Outing
- Training Development and Career Opportunity
- 1-time Performance bonus and 2-time salary increment per year
- GH BANK Home Loan
- Social security contributions
- Allianz health insurance after passing probation period
- Annual physical check
- Other benefits based on company policy