Data Scientist Lead
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Job description
Experteer Overview In this Data Science Lead role, you steer a small data science team while remaining hands-on on key projects.You translate complex data into business value, guiding strategic decisions with machine learning and analytics.You collaborate with product, engineering, and business leaders to shape data-driven solutions that align with company goals.The mission is to enable scalable, impactful insights that drive growth and operational excellence.This hybrid role rewards technical excellence and strategic leadership in a rapidly evolving environment.Compensaciones / Beneficios * Lead and develop a two-person data science team, setting objectives and providing growth support * Stay hands-on in delivery of the most complex projects and uphold technical standards through code reviews and pairing * Plan, prioritize, and manage team backlog to ensure predictable delivery * Develop business insights by solving strategic challenges using data * Own and implement the data science roadmap in partnership with leadership * Build, deploy, and maintain ML models to forecast trends and optimize processes * Analyze large datasets and communicate findings to technical and non-technical stakeholders * Advise on and improve the data science pipeline to meet analytics needs * Collaborate closely with business, product, and engineering teams to ensure data solutions meet requirements * Stay up-to-date with trends in data science, AI, and ML to enhance team capabilities Responsabilidades * Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * 5+ years of data science experience, with at least 3 years in a lead or senior role * Proven leadership experience managing data scientists and delivery * Hands-on ability to write production-quality code and review team output * Experience presenting to senior stakeholders and defending team priorities * Strong understanding of business operations and aligning data projects with business goals * Excellent communication skills to translate technical insights for varied audiences * Strong problem-solving skills with complex and unstructured data * Proficiency in Python, R, or Scala; experience with ML frameworks (TensorFlow, Scikit-learn); SQL; cloud platforms (AWS, Azure); big data tools (Hadoop, Spark) Requisitos principales *
Requirements
Compensaciones / Beneficios * Lead and develop a two-person data science team, setting objectives and providing growth support * Stay hands-on in delivery of the most complex projects and uphold technical standards through code reviews and pairing * Plan, prioritize, and manage team backlog to ensure predictable delivery * Develop business insights by solving strategic challenges using data * Own and implement the data science roadmap in partnership with leadership * Build, deploy, and maintain ML models to forecast trends and optimize processes * Analyze large datasets and communicate findings to technical and non-technical stakeholders * Advise on and improve the data science pipeline to meet analytics needs * Collaborate closely with business, product, and engineering teams to ensure data solutions meet requirements * Stay up-to-date with trends in data science, AI, and ML to enhance team capabilities Responsabilidades * Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * 5+ years of data science experience, with at least 3 years in a lead or senior role * Proven leadership experience managing data scientists and delivery * Hands-on ability to write production-quality code and review team output * Experience presenting to senior stakeholders and defending team priorities * Strong understanding of business operations and aligning data projects with business goals * Excellent communication skills to translate technical insights for varied audiences * Strong problem-solving skills with complex and unstructured data * Proficiency in Python, R, or Scala; experience with ML frameworks (TensorFlow, Scikit-learn); SQL; cloud platforms (AWS, Azure); big data tools (Hadoop, Spark) Requisitos principales *
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