Data Scientist

• Engage with stakeholders, business analysts, and project teams to understand data requirements.
• Work across multiple business domains, including Customer Service, Finance, Sales, and Marketing.
• Design, develop, and deploy predictive models and machine learning algorithms to address business challenges.
• Explore, visualize, and prepare diverse datasets for analysis and problem-solving.
• Build machine learning and statistical models, including generative AI solutions.
• Apply Natural Language Processing (NLP) techniques to extract insights from text data.
• Design database models and aggregate data as needed for modeling.
• Create visualizations and build dashboards in Tableau and/or PowerBI.
• Extract and present business insights using data storytelling techniques.
• Analyze large and complex datasets to identify trends and generate meaningful insights.
• Collaborate with product managers, engineers, and stakeholders to define requirements and deliver solutions.
• Mentor and guide junior data scientists and analysts.
• Clearly communicate findings and recommendations to both technical and non-technical audiences.
• Stay current with the latest data science methodologies, tools, and best practices.
• Promote the adoption of data science techniques and foster a data-driven culture within the organization.

Senior Data Scientist

Data Scientist

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Data Scientist

Data Scientist

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