Job Description

Data Scientist - OpenAI Anthropic DeepSeek Experience 

Employment Type: Full-Time Location: Mclean, VA (on-site)

Minimum Experience: Experienced

Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.

Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:

• Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
• Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
• Washington Post: Your kids’ apps are spying on them
• Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
• ABC7 News: The State of Children's Privacy Onlin e
• NBC News: How many apps are tracking your children

Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC , London and Singapore.

ABOUT THE ROLE

In this role, you will collaborate closely with a team of data scientists, big data engineers, and product managers. 

You will be working on cutting edge technology, prompt engineering, LLMs for our large dataset, predictive models to address complex business problems in fraud detection/prevention and advertising data analytics, while ensuring compliance with global privacy and data protection laws. 

QUALIFICATION

• BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fields
• 1+ years of professional experience in data science, solving complex problems with a focus on AI/ML techniques and privacy expertise
• Experience in implementing AI/ML models with VertexAI, including deep learning and reinforcement learning models, while ensuring compliance with privacy and data protection laws
• Familiarity with with OpenAI, Perplexity, DeepSeek, Anthropic, TensorFlow, PyTorch, Keras 
• Ability to work independently and solve complex problems with minimal supervision
• Excellent verbal and written communication skills, with a high attention to detail
• Proficiency in SQL and Python (experience with R is a plus)
• Preferred MS or PhD degree in Computer Science, Electrical Engineering, Math, Statistics, or other quantitative fields with a focus on AI/ML and privacy expertise

RESPONSIBILITIES

• Leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention models while adhering to privacy regulations
• Research and implement state-of-the-art AI/ML algorithms to stay ahead of emerging fraud patterns and trends, maintaining compliance with privacy laws and regulations
• Provide technical support for existing products by resolving complex client issues through coordinated tickets and data analysis
• Identify new types of fraud and develop early detection/prevention algorithms using AI/ML techniques
• Create visualizations, document methodologies, and effectively communicate research insights to product management and marketing teams, while maintaining privacy compliance
• Develop and test statistical hypotheses to support data-driven decision-making

BENEFITS

We focus on doing things differently and challenge each other to be the best we can be.

• Generous benefits package including 25 days holiday plus Bank holidays
• Defined contribution Pension scheme
• Monthly internet reimbursement
• Casual, remote work environment
• Hybrid, flexible hours

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