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Data Scientist - Security Engineering- San Jose

California, United States (On-site)

Data Scientist - Security Engineering- San Jose

3 Weeks ago • 3 Years + • Monetization

About the job

5 skills required for this role

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neural-networks

data-structures

risk-management

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talent-acquisition

Job Description

ByteDance seeks a Data Scientist for its Security Engineering team in San Jose. Responsibilities include developing internal risk management strategies using data mining, machine learning, and algorithm development to combat information security, privacy, and intrusion risks. The role involves building a risk management system to reduce costs associated with new businesses and threats, enhancing the competitiveness of risk management solutions through machine learning and advanced analytics, and strengthening overall security defense. This position requires strong data mining, machine learning expertise, and algorithm design skills.

Must have:

Data mining and ML experience (3+ years)
Strong ML theoretical & practical background
Algorithm, engineering & system design skills
Risk management strategy development
Building ML solutions for security

Good to have:

Master's degree or above
NLP, graph neural networks expertise
Publications in top conferences
Experience with botnets, crowd mining
Solid ownership in fast-paced environment

Perks:

100% employee medical insurance coverage
75% dependent medical insurance coverage
HSA with company match
Dental, vision, disability insurance
17 days PTO + 10 paid holidays + 10 sick days
12 weeks paid parental leave
401k company match
Gym and cellphone reimbursements

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Responsibilities

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us. Team Introduction We are building the central and unified authorization service at Bytedance. The services we build and support include - Authorization Product, which provides the customer-facing interface that's used by all Bytedance employees daily. - Authorization Backend, which provides the unified and central authorization capability at Bytedance We have four major initiatives in our team: - Build the most secure, reliable and scalable infra that enables high-quality service. - Enforce fine-grained access control to secure all Bytedance resources and assets. - Provide intuitive, efficient and transparent access experience to our users. - Govern the permissions with automation and tools that enforce the least-privileged access control. Responsibilities: 1. Work on internal risk management strategy: data mining of massive data and logs, utilizing rule/model/algorithm, building machine learning solutions, preventing and combating risks such as information security, privacy security, security defense, and anti-intrusion. 2. Combined with the business development direction, build a persistent, efficient, modular risk management system to reduce the risk control costs of new businesses, new problems and new cheating methods. 3. Enhance the overall competitiveness of the risk management solution in areas such as privacy compliance, machine learning, perception analysis, etc., and strengthen the defense depth.

Qualifications

Minimal Qualifications: - Background in computer science, statistics and related majors. - 3 years of data mining and machine learning industry experience in related fields: search, recommendation, ads, security, anti-fraud, risk control, etc. - Strong theoretical and practical background in machine learning. Utilize data and implement ML methods to solve real problems. - Strong algorithm, engineering and system design skills. - Strong communication initiative and skill. Preferred qualifications - Master's degree or above is preferred. - Background in natural language processing , graph neural networks, semi-supervised/unsupervised learning, transformers, etc. - Have publications in top conferences and journals, with research experience in botnets, crowd mining, risk control modeling, etc. - Can maintain solid ownership in a fast-paced and cross-functional environment. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Job Information

【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $144000 - $329333 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.​
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: ​
We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. ​
Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. ​
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. 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.​