Data Scientist – Data Solution

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Company Overview

This organization is a leading destination for short-form mobile video with a mission to inspire creativity and bring joy. With global headquarters in Los Angeles and Singapore, and offices spanning major cities worldwide, the company’s platform empowers imaginations to thrive. They foster a collaborative environment where challenges are seen as opportunities for learning, innovation, and growth. The Data Solutions team plays a crucial role in the company’s data business model by strategically understanding data at scale to meet global business needs. This team leverages both quantitative and qualitative data to generate insights and develop real-world products that drive exponential growth, focusing on infrastructure construction, recognition capabilities management, and global labeling delivery management.

Job Title: Data Scientist – Data Solution

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

They are seeking 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. This role involves assessing business needs, innovating across available resources, and collaborating with both business and technical cross-functional stakeholder teams. The responsibilities include designing solutions to build data labeling at scale, utilizing state-of-the-art algorithms and recognition models to enhance datasets and optimize requirement handling processes. This role will also drive analytics and insights to support business decisions and quantify the 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 the service and quality of labeled 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 in communication, collaboration, project management, problem-solving, and an excellent team player.
3. Strong interest in process optimization and improvement.
4. Highly conscientious with good attention to detail.
5. Experience in artificial intelligence, computer vision, and machine learning techniques and other related fields is 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

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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.