Tokopedia
India
Internet
At Tokopedia, the focus of our data science team is to work on highly scalable data-driven products that have a massive impact on the business. If you are passionate about finding patterns in big data and developing prediction models, this is the place for you. Tokopedia encourages it’s team members to be creative in building products, learning continuously, and solving interesting problems. We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.
The role holder will be an expert in his AI/ML domain to support the team in different data science projects. He/she is expected to deliver solid implementation of different AI/ML algorithms to meet production standards.
Key Responsibilities:
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Develop robust machine learning models -
Extract huge volumes of data from multiple internal and external sources. -
Maintain team’s best research and engineering practice. -
Work closely with Data Analysts, Software Engineers, and Product Owners to deliver insights and impactful products for Tokopedia. -
Perform tasks such as data exploration, cleaning, and feature engineering -
Perform research into state-of-the-art algorithms from research papers with guidance from lead data scientists -
Implement data science algorithms from research papers with guidance from lead data scientists -
Development of APIs from data science models -
Collaborate with team members from data science and other teams to develop data science solutions -
Explore and examine data from a variety of angles to determine hidden weaknesses, trends, and/or opportunities. -
Employ sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive & prescriptive modeling
Qualifications:
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Minimum Bachelor’s/Master’s degree in data science field, e.g. Math, Physics, Statistics and Computer Science -
3-5 years of experience in applying analytical modeling to solve business problems -
Strong problem-solving skills with a good analytical approach and logical thinking. -
Hands-on experience with machine learning model development in python
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Experience and deep understanding understanding of: -
SQL
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Python programming
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machine learning models such as random forests, gradient-boosted trees, or neural networks
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Knowledge and experience in at least one of the following areas:
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Natural Language Processing
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Computer Vision
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Information Retrieval – Search & Recommendations
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Fraud detection
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Time-series analysis and modelling
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Collaborative team player
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Intellectually curious and always learning
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Good communication skills. -
A humble team player.
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