- Location
- Headquarters, Indonesia
- Type
- Internship
- Department
- IT
- Seniority
- Internship
- Closing date
- Today
- Source
- Workday
Description
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.
