Data Solutions Manager

pace of Monetization and Integrity that TikTok provides. You will be assessing business needs, innovating across your given resources, and navigating across both business and technical XFN stakeholder teams.

Design solutions to build data labeling at scale, using state-of-the-art algorithms (like active learning) and recognition models to improve datasets and optimize the requirement handling mechanism and process

Drive analytics and insights to aid business decisions and the quantification impact of initiatives through scientific approaches (like experimental designs).

Responsibilities:

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

Qualifications

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering or equivalent practical experience
• Experience with writing and optimizing SQL, and with one general purpose programming language (e.g., Java, C/C++, Python)
• Experience in data analytics and data visualization
• Outstanding skills of communication, collaboration, project management, problem solving, and an excellent team player
• Strong interest in process optimization and improvement

Preferred Qualifications:

• Experience in client facing roles/consulting preferred
• Experience in artificial intelligence, computer vision, and machine learning techniques and other fields are highly preferred
• Strong communication skills, for example, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions.
• Solid foundations of statistics and data science/analytics projects management is preferred

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $176356 - $395280 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.