Data Science Intern

Headquartered in Singapore, Bossjob is a HRTech startup that connects companies in Southeast Asia to pre-screened experienced professionals at a fraction of traditional headhunting fees by removing the need for human consultants. Beginning with the Philippines, our one-stop solution offers instant communication, talent screening, robo-headhunting and more. We're a diverse team based across Singapore, Philippines and China and we welcome interns around the world to work remotely with us.

We treat customer data in strict confidence. You should not expect to use these data for academic publication.

Key responsibilities:

• Data Crunching and data massage
• Implementation/tuning of machine learning algorithms
• Data science/machine learning experiments
• Help on build innovative data products using cutting edge tools and technologies

Time Period

• Please state your availability clearly in the application (Start date, End date, part-time or full-time)
• Full-time interns preferred (3-6 months)
• Students who can commit part-time, minimally 3 working days a week, are also welcome to apply

Why join us:

• Flexible Work Arrangements
• Central Location
• Diverse team across Singapore, Philippines and China
• Opportunity to positively impact the lives of millions of people in this region

At Bossjob, we believe bringing a change to the world we live in through technological revolution is a chance once in a lifetime.

Requirements:

• Ability to code in programming languages such as R or Python to prototype and test analytical ideas
• Familiar with basic data analysis tools such as SQL and Excel
• Knowledge in data structures and algorithms
• Knowledge in data science, data mining, machine learning and statistics
• Experience working on data sets, and comfortable with cleaning “dirty” data – data wrangling

Good to have:

• Some practical experience in building predictive models using statistical or machine learning methods
• Strong analytical abilities and communication skills are essential for this role, as well as passion for problem solving
• Education background in quantitative area preferred, such as Data Science / Computer Science / Statistics / Math / Engineering