Job Description
Job Description:
Sesame is seeking an experienced and innovative Data Scientist to analyze and interpret complex datasets to help guide business decision-making. The Data Scientist will work closely with the analytics and IT teams to develop predictive models and data-driven solutions to support business objectives.
Key Responsibilities:
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Collect, clean, and analyze large sets of structured and unstructured data.
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Build and implement predictive models and machine learning algorithms.
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Develop insights and actionable recommendations for the business.
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Visualize data and present findings to non-technical stakeholders.
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Collaborate with cross-functional teams to define data requirements and objectives.
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Ensure data quality and integrity across various data sources.
Requirements:
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Proficiency in data analysis and machine learning techniques.
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Strong understanding of statistical methods and algorithms.
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Ability to work with big data technologies and data visualization tools.
Education:
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Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
Skills:
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Proficiency in programming languages such as Python, R, and SQL.
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Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).
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Familiarity with data visualization tools such as Tableau or Power BI.
Experience:
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At least 3 years of experience in data science or data analysis roles.