Data Scientist – Data Solution

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading destination for short-form mobile video. The company’s mission is to inspire creativity and bring joy. Global headquarters are in Los Angeles and Singapore, with offices including New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Job Description: Data Scientist – Data Solution

Why Join Us

Creation is the core of the company’s purpose. The platform is built to help imaginations thrive. This is doubly true of the teams that make the platform possible. Together, they inspire creativity and bring joy – a mission they all believe in and aim towards achieving every day. Every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. They create together and grow together. That’s how they drive impact – for themselves, their company, and the communities they serve. Join them.

About the Team

The success of the data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as the business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the Role

We’re looking for a highly capable Data Solutions Manager to build the next generation of data solutions in support of industry leading products and services in the space of Monetization and Integrity. You will be assessing business needs, innovating across your given resources, and navigating across both business and technical XFN stakeholder teams. You will design solutions to build data labeling at scale, using state-of-the-art algorithms and recognition models to improve datasets and optimize the requirement handling mechanism and process. You will also drive analytics and insights to aid business decisions and the quantification impact of initiatives through scientific approaches (like experimental designs).

Responsibilities

1. Work closely with stakeholders to capture requirements for data labeling projects;
2. Track the progress of data labeling projects and manage resources to ensure timely completion;
3. Develop strong relationships with XFN partner teams to deliver efficient data solutions that support revenue generation and cost savings;
4. Translating complex business requirements into technical product solutions;
5. Enhance on the service and quality of labelled data delivery;
6. Innovate across multiple different data product types to reduce cost and increase impact;
7. Utilize experience to recommend the right machine learning techniques to the appropriate business use-cases;
8. Experience the entire model pipeline from data gathering to model delivery and maintenance.

What you will need

1. Solid foundations of statistics and data science/analytics projects management is preferred;
2. Outstanding skills of communication, collaboration, project management, problem solving, and an excellent team player;
3. Strong interest in process optimisation and improvement;
4. Highly conscientious with good attention to detail;
5. Experience in artificial intelligence, computer vision, and machine learning techniques and other fields are highly preferred.

Qualifications

Minimum Qualifications

1. Bachelor’s degree in Computer Science, Engineering or equivalent practical experience;
2. Experience with writing and optimizing SQL, and with one general purpose programming language (e.g., Java, C/C++, Python);
3. Experience in data analytics and data visualization.

Preferred Qualification

1. Experience in client facing roles/consulting preferred.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.