Data Scientist | POD in Xenoss

Xenoss, aleading MarTech/AdTech software development house recognized among the Inc. 5000’s top 100, isseeking avisionary and accomplished Data Scientist tojoin our exciting new direction indata-related services. Having built custom AI-driven software solutions for industry giants like Activision Blizzard, Nestlé, and Uber, we’re leveraging our extensive experience tooffer comprehensive data engineering, data analytics, data science, and AIservices.ProjectWeare creating amedia platform that would use predictive algorithms tocreate optimized user journeys based onaudience and content information. Itshould enhance theUX ofbranded content and raise KPIs for brand awareness and user engagement campaigns.The technology should enable content and audience acquisition with auser journey that isseamlessly built into the content.The product adapts tothe targeted audience todrive bespoke audience journeys.The components within the platform scope for the minimum viable product include:AdServer with full dynamic creative optimization (DCO)Data Management functionality found inDMPsVarious Machine learning models (provided bythe Client)Analytics and ReportingRequired skills:Bachelor’s orMaster’s degree inComputer Science, Engineering, Mathematics, orarelated field.Minimum of5years ofexperience inadata science orrelated role, with aproven track record ofapplying machine learning techniques toreal-world problems.Experience with cloud services (AWS, Azure, etc.) andML deployment tools. Proficiency inPython, specifically with the classicalDS stuck (NumPy, SciPy, Pandas, matplotlib, scikit-learn, etc.).Familiarity with main Deep Learning tools and frameworks (TensorFlow/Keras, PyTorch).Familiarity with statistical methods and techniques, including A/B testing.Upper-Intermediate level ofEnglish (written and spoken).Nice tohave:Knowledge ofmodern Neural Networks architectures.Previous experience inNatural Language Processing orInformation Retrieval.Working knowledge and practical experience ofdeveloping and maintaining Recommender Systems.Knowledge and practical experience inregression optimization (Linear Regression, Non-linear Regression, XGBoost, CatBoost, LightGBM, etc.).Experience inprogrammatic advertising. Responsibilities:Work closely with the team tounderstand business objectives and translate them into data science initiatives.Design, develop, and maintain scalable solutions byusing state-of-the-art AIand MLtechniques.Establish scalable, efficient, and automated processes for data analysis and model development.Clearly communicate the benefits and limitations ofAI/ML models and capabilities toavariety ofstakeholders. Provide regular updates and insights tothem.What will you getThe opportunity toshape the future ofaleading adtech company.Acollaborative and dynamic work environment with afocus oninnovation.Competitive salary and benefits package.High level offreedom indecision-makingThe chance towork with atalented and passionate team.