AI/ML Data Scientist

3 days ago

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Pixalate

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Pixalate is the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV), Mobile Apps, and Websites. It introduces the ad industry’s first COPPA Compliance Technology to assess child-directed apps and helps in blocking unauthorized sellers and invalid supply paths. Pixalate provides insights into publisher quality and privacy compliance data across various platforms, offering tools for fraud detection, brand safety, and display viewability. With a focus on transparency and advertiser trust, it analyzes billions of data points to safeguard the programmatic ad supply chain, ensuring high-quality ad inventory and reducing invalid traffic (IVT).

mobile • OTT • CTV • ConnectedTV • IVT

51 - 200 employees

Founded 2013

📋 Compliance

🔒 Cybersecurity

💰 $18M Venture Round on 2021-09

📋 Description

• Collaborate closely with data scientists, big data engineers, product managers, and marketers • Analyze large datasets, develop AI/ML algorithms, and derive insights to address complex business problems • Leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention models • Research and implement state-of-the-art AI/ML algorithms to stay ahead of emerging fraud patterns and trends • 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 • Develop and test statistical hypotheses to support data-driven decision-making • Fine-tune existing ML and LLM models to improve accuracy, speed and efficiency

🎯 Requirements

• BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fields • Experience in data science, solving complex problems with a focus on AI/ML techniques and privacy expertise • Experience in implementing AI/ML algorithms, including deep learning and reinforcement learning models, while ensuring compliance with privacy and data protection laws • Ability to work independently and solve complex problems with minimal supervision • Strong critical thinking and ability to generate intuitive conclusions from complex datasets • Excellent verbal and written communication skills, with a high attention to detail • Proficiency in SQL and Python • Solid understanding of machine learning algorithms, basic probability, and statistics • Familiarity with AI/ML tools and frameworks (e.g., OpenAI, DeepSeek, ChatGPT, TensorFlow, PyTorch, Keras)

🏖️ Benefits

• Monthly internet reimbursement • Casual, remote work environment • Hybrid, flexible hours • Opportunity for advancement • Fun annual team events • Being part of a high performing team that wants to win and have fun doing it