Duration: 11 Months Contract Must have: Python/R - either/or but Python is mostly used Statistical background AWS Tableau Clienture Visualization tools - building out dashboards - will help to redesign Data Science analysis Data analytics Statistical analysis 5-8+ years’ experience Data pipelines Job Description The Ad Platforms organization within client Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all online properties. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. The Ad Client ligence team is under Ad Platforms and its mission is to transform advertising and client Ad platform with data and AI across TV and streaming video. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a lead data scientist who will be an outstanding addition and leading development for prediction or optimization engines for addressable ad platforms. Responsibilities Drive ground-breaking innovation and apply state of the art machine learning in a variety of areas to boost in every aspect of advertising, including inventory forecasting, planning, pricing, targeting, decisioning, and efficient ad delivery. Collaborate with cross-functional teams to identify business opportunities and translate business questions into data science framework. Leverage advanced data analytics skills to extract key insights. Develop scalable and efficient methods for large scale data analysis and model development. Build and experiment brand new algorithms and models end-to-end throughout production rollout and continuous optimization. Mentor team members and guide their technical development. Basic Qualifications 6+ years of hands-on experience in machine learning and advanced analytics. Experience in the advertising domain is preferred. Solid understanding of ML technologies, mathematics, and statistics. Proficient with Python, Java, Scala, large scale ML/DL platforms and processing tech stack. Passion to understand the ad business and apply accurate research study according to the business scenario and seek innovation opportunities to enhance business effectiveness. Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications. Proven track record of thriving in a fast-paced, data-driven, collaborative and iterative applied research environment is required.
...experience leading and mentoring small teams of engineers. ~3+ years of expertise in log management and analysis with tools like Elastic Stack (ELK), Splunk, and Grafana for efficient data visualization and system monitoring. ~ Proficient in at least one scripting language...
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RADCOM Is looking for a Telecom Engineer, a key technical position within our growing company with a dynamic and exciting environment. RADCOM is a leading expert in automated service assurance solutions for telecom operators running 5G/4G networks. Empowering operators...
About the Role:As part of a highly skilled international team, you will work on our client's innovative web app in the blockchain KYC space. Youll contribute to the development of a system where, once users are verified, an NFT is minted directly into their wallets....
...and carriers Manage daily shipments and resolve issues to ensure timely pickup and delivery Provide proactive and honest communication, internally and externally What you need: Availability to work full-time, 100% in-office Determination to outwork anyone...