Tracer, the leader in brand protection, enhances the customer experience of corporate brands by eliminating brand misuse and fraud across the modern, digital universe. Powered by our patent-pending Tracer® technology, we trace analyze and remove the illicit use of intellectual property within all digital channels, including mobile apps, social media, websites, paid search, marketplaces, and Web3. Tracer also proactively secures brands by providing domain registration solutions for traditional and blockchain domain name portfolios.Founded in 2012, Tracer has deep roots in applying technical innovation and intellectual property law to secure brands and reduce fraud. Many of the world's largest companies, including those in finance, technology, gaming and Web3, trust Tracer. Visit www.tracer.ai for more information.The Data Scientist Manager is a critical position that will help Tracer strengthen its AI capabilities. This person will work closely with the EVP of Data Analytics & AI and the overall business to drive continued advancements in the development and implementation of AI both for internal use, e.g. customer churn and into our Products. The individual will solve complex problems with a focus on timely delivery and ownership of results while leading a team. The role will require strong skills in AI ecosystem and creative problem solving.MAIN DUTIES AND RESPONSIBILITIES:Lead and develop a teamSupport, define and build the AI stack. Define, build and support AI solutions for different departments (Marketing, Sales, Finance, HR) Work with all departments on collecting their AI requirements implement them accordingly Clearly document and communicate the outcomes of initiatives and make sure that the results can be clearly understood by business stakeholders.Inspire and promote the adoption of AI across the entirety of our organization and provide expertise for the broader applied analytics team.Support sprint/work design and planning.With the R&D team build AI solutions for our core products including potential solutions like:Unusual Data Access Behavior with Machine LearningMachine Learning into the Anonymization process to automate rules and priorities of anonymization algorithmsML for creation of Synthetic Data, structured and unstructured ML for Data Classification algorithms that detect certain types of data in structured and unstructured formatsNew algorithms and solutions for more advanced requirements like AI on Homomorphic Encrypted Data (i.e. ML in Cipher Data), Federated Learning, Multi-party compute, etc. REQUIRED QUALIFICATIONS AND EXPERIENCE:Experience Leading and Managing a team 4+ years of hands-of experience in the AI ecosystem including: Hands-on experience with AI libraries (scikit-learn, mlflow, cuda, xgboost, spark-ml, spark, etc.) and AI tools like Dataiku, Domino, Databricks, SagemakerHands-on experience with Privacy /Security algorithms such as K-anonymity, Differential Privacy, Homomorphic Encryption and others and concepts like Machine Learning on Encrypted Data and / or Federated Learning Hands-on experience with CloudHands-on experience with Kubernetss and Docker and respective container storages repos Hands-on experience with Snowflake, Redshift and/or other database enginesHands-on experience with Visualisation ToolsTeam player with a problem-solving attitude Experience of delivering advanced analytical projects to large, complex organizations in a multi-functional environment.Able to challenge and review the quality and value generated from AI models Focus on driving business value to support long term relationships. Ability to support team members, ensuring the culture and strategy gets followed by new hires. Requirements EDUCATION: MSc in a relevant field such as data science, computer science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning, security and privacy engineeringAt Tracer, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Appdetex is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law#J-18808-Ljbffr
