Senior Data Scientist

May 30

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Creative Chaos

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Innovation Delivery • Research & Insights • Experience Strategy • Digital Transformation • Lean Agile Development

201 - 500

Description

• Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models • Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects • Develop and implement machine learning algorithms and statistical models to solve complex business problems • Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets • Work with data engineers to build robust and scalable data pipelines • Evaluate and validate models using appropriate performance metrics and statistical techniques • Present findings and insights to stakeholders in a clear and concise manner • Stay up-to-date with the latest advancements and best practices in data science and machine learning • Mentor and guide more junior data scientists in the team

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related field • Minimum of 5 years of industry experience as a data scientist • Strong knowledge and experience in machine learning, statistical modeling, and data mining • Proficiency in Python or R for data analysis and modeling • Experience with big data technologies such as Hadoop, Spark, or SQL • Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus • Strong problem-solving and critical-thinking skills • Excellent communication and presentation skills • Ability to work effectively in cross-functional teams • Strong attention to detail and ability to work on multiple projects simultaneously

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service