**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** + 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 e2e 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 **NICE-TO-HAVES** + Experience in digital video advertising or digital marketing domain + Experience with CTR/CVR model, generative AI + Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment + Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks + Experience loading and querying cloud-hosted databases such as Snowflake + Familiarity with automated deployment, AWS infrastructure, Docker or similar containers **Required Education** + BS/MS in Computer Science or sim. field **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.