Data Manager, LiDAR and Radar | Mobileye
MobileyeCoordinate LiDAR and radar data requests, dashboards, and workflows at Mobileye. Support autonomous-driving algorithms with Python, Jira, and AI-assisted data analysis.
Open
Arpeely develops machine learning software for digital media acquisition, helping advertisers find valuable traffic across managed campaigns and real-time bidding (RTB). Its autonomous media engine targets and retargets audiences, adapts to campaign signals, and generates insights about user value over time. Connected directly to ad exchanges, the platform analyzes traffic for signs of fraud and low intent. Arpeely’s work brings together software engineering, fraud science, artificial intelligence, data science, and digital marketing.
Senior Data Scientist Team Lead
Lead and mentor data scientists while driving large-scale machine learning initiatives. Develop data solutions for Arpeely’s programmatic advertising engine and Ace AI browser.
Description
- Mentor and guide a team of data scientists.
- Manage projects from initial planning through delivery, creating structured and automated solutions.
- Set data strategy by planning and prioritizing solutions that address business needs.
- Analyze large, varied datasets and build algorithms and models to solve complex problems.
- Recommend data science and algorithmic approaches for product initiatives.
- Present technical concepts and analysis implications to senior leaders, and work across teams to improve performance.
- Collaborate with management, R&D, Product, and other departments to inform decisions.
Requirements
- At least two years of experience leading a team.
- At least four years of hands-on analytics experience in big data businesses, preferably in a B2C company.
- A hands-on, curious approach to algorithms, data, and business problems.
- Strong analytical skills and experience querying large, complex datasets.
- A solid understanding of statistical significance.
- Practical experience with machine learning algorithms, Python, and data visualization tools such as Tableau or Looker.
- A bachelor’s degree or higher in mathematics, statistics, engineering, computer science, or another quantitative discipline.
- Able to learn independently, manage multiple tasks, and work autonomously.
- Proactive and resourceful in solving problems.
- Excellent written and verbal communication skills.
- Ad-tech industry familiarity is a plus.
- Experience implementing real-time machine learning and data mining algorithms in large-scale environments is a plus.
- Collaborative and enjoyable to work with.
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