Senior Data Scientist

Yesterday

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Factored

Machine Learning β€’ Data Engineering β€’ Data Analytics β€’ Artificial Intelligence β€’ Data Science

51 - 200

Description

β€’ Factored, conceived in Palo Alto, California, addresses AI & Machine Learning engineer shortages. β€’ Looking for a Senior Data Scientist to drive strategic decision-making through data insights.

Requirements

β€’ A Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline. β€’ 5+ years of experience in data science, with a track record of successfully applying data-driven solutions in a professional setting. β€’ Proficiency in programming languages such as Python or R. β€’ Hands-on experience with Databricks and Spark β€’ Strong knowledge of SQL for data extraction and manipulation. β€’ A deep understanding of statistical methodologies and their practical application. β€’ Proven experience working with different statistical methods or models. β€’ Solid understanding of statistical analysis and hypothesis testing. β€’ Ability to apply quantitative techniques to extract meaningful insights and drive data-driven strategies. β€’ Execute end-to-end data science projects, from problem formulation to model deployment. β€’ Implement scalable and robust DS architectures that can handle large datasets, model training, and deployment, ensuring the reliability and efficiency of data-driven solutions. β€’ A proven track record of solving complex business problems by developing and implementing data-driven solutions that enhance business performance. β€’ Demonstrated ability to proactively research and learn new concepts, tools, and techniques to stay at the forefront of the rapidly evolving data science field. β€’ Strong critical thinking skills to evaluate data, identify trends, and draw actionable conclusions. β€’ Strong communication skills in English (B2-C2) and the ability to work collaboratively in a team-oriented environment. β€’ Excellent communication skills in English to convey complex technical concepts to non-technical stakeholders. β€’ Effective presentation skills in English to share findings and insights with team members and decision-makers.

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