 
						Data Driven Solutions Lead
Há 7 dias
Job DescriptionThe Data Driven Solutions Lead is responsible for the development and deployment of cutting-edge data solutions, influencing the technical direction of their team.They work closely with Product and Engineering partners to develop solutions.Lead the development and deployment of data driven solutions to solve business problems.Develop and maintain clean, efficient, and scalable code that meets industry standards.Analyze large datasets to extract actionable insights and make informed decisions.Employ state-of-the-art data methodologies and frameworks to develop robust and scalable models.Influence technical direction and take ownership of key components of systems and solutions, ensuring they meet business needs.Collaborate with stakeholders on data driven solution development and deployable products.Mentor junior team members to establish team domain expertise.Contribute to company intellectual property and technical leadership through patents and publications at top-tier conferences and journals.Required Skills and QualificationsRequirements:5+ years of industry experience in applied data science.Masters Degree or PhD in CS/Data Science or related field.3+ years experience in building, deploying, and managing data science and deep learning models in production environments at scale.Deep understanding of data best practices, algorithms, and experiment design.Experience in at least one of these domains: price estimation, personalization, recommender systems, computer vision, fraud detection, marketing.Extensive experience in scientific libraries (numpy, pandas) and Data Science tools (Scikit-Learn, Tensorflow, Keras, PyTorch).Strong data engineering skills and experience working with large-scale datasets.Experience with big data tools (Apache Beam, Apache Kafka, Spark).Cloud technologies experience (AWS, GCP, Azure).BenefitsFluency in Python, SQL.OthersPreferred Requirements:PhD preferred (CS, ML, AI or related field).Background in applying data techniques to real-world business problems in retail.Familiarity with MLOps tools and pipelines.Impact-focused and passionate about delivering high-quality models.Demonstrated leadership experience, inspiring teams.
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