Data Science Intern

• We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip.
• That is exactly what we are tackling as t-fam! Making sure that our 50+ million users have the best experience in crafting their own adventure.

Your main duties in flying with us

• Conduct exploratory data analysis and grab insights from the data
• Involve in model development using machine learning approach
• Involve in API / other model serving mechanism implementation
• Participate actively in scientific paper discussions

Mandatory belongings that you must prepare

• Having background in math, statistics, and/or computer science
• Having basic knowledge of programming paradigm (structured / object oriented programming)
• Having basic knowledge of machine learning and data analysis
• Having basic knowledge of NLP, Information Retrieval, Recommender System, and/or Deep Learning is a plus point
• Familiar with python and some data science-related libraries in python, i.e., numpy, pandas and scikit learn
• Familiar with SQL
• Willing and able to read and understand scientific paper
• Strong verbal and written communication skills
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and impact to business.
• Writing reports and documentations based on discussions and experimentations

In the event that you haven’t received any updates after 3 weeks, your data will be kept and we may contact you for another career destination. Meanwhile, discover more about tiket.com on Instagram , LinkedIn , or YouTube .