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Preference for Master’s or Ph.D. in data science / advanced data analytics but other fields will be considered including statistics, applied mathematics, information technology, engineering, computer science, or a comparable discipline.
Experience:

• More than 5 years of industry data science / AI / ML experience
• Proven experience managing analytics projects end to end
• Very good theoretical knowledge of AI, ML and DL methods
• At least 7 years hands-on coding in R, Python, SQL (e.g. ETL), etc.
• Proven experience overseeing data scientists teams
• Experienced in carrying out exploratory data analysis, model development and visualization in Jupyter Notebooks (Python and R)
• Must have demonstrable experience in coding and applying traditional regressions (e.g. GLMs), ML (decision trees, random forest, boosted trees, etc.), natural language processing, DL
• Visualization in Power BI, D3.js, Dash, JavaScript, etc. is an advantage
• Working on data science virtual machines on the cloud (Azure, AWS, etc.)
• Understanding of RESTful APIs and microservices is an advantage
• Demonstrable Kaggle / Git / analytics blogs and repos are an advantage

Experience in insurance/reinsurance industry would be an advantage and specifically on the topics of underwriting and claims automation and fraud detection
Stakeholder management:

• Working with multiple stakeholders across the analytics lifecycle

Strong communication in:

• Documenting analytics results (e.g. MSWord, PowerPoint, Notebooks, etc.)
• Verbally explaining analytics concepts and results to non-technical audiences and domain experts and translating analytics results into business solutions

Ability to deliver under short but reasonable timelines
Capacity for innovation, entrepreneurial mindset, forward-looking, enjoy working in a team
Good command of English essential
Willingness to travel within Asia for short periods

Company Name: Fanama Technologies

Company Profile: Please contact the employer for more information

Contact Company: 123456789

Website: N/A

Recruiter Name: Manager