Overview: Lead Consultant Data Scientist at Excella drives the development and implementation of advanced analytics solutions, ensuring alignment with business objectives and technical best practices. They provide strategic leadership in data science projects, mentor teammates, and influence decision-making through data-driven insights.

Responsibilities

Qualifications:

Lead the design and execution of data science projects to deliver high-impact analytics solutions.
Partner with client stakeholders to understand business challenges and develop data-driven strategies.
Oversee data acquisition and integration, ensuring data quality and reliability.
Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
Guide the deployment and integration of predictive models into business applications.
Develop and implement strategies for optimizing model performance and monitoring over time.
Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
Mentor and support junior and senior team members in data science methodologies and best practices.
Influence data governance and best practices within the organization.
6+ years of experience in predictive analytics using Python, R, or Scala.
6+ years of experience writing complex SQL queries for data extraction and transformation.
Extensive experience applying machine learning techniques, including deep learning and NLP.
Expertise in large-scale data platforms, including Hadoop, Spark,

About the role

Overview: Lead Consultant Data Scientist at Excella drives the development and implementation of advanced analytics solutions, ensuring alignment with business objectives and technical best practices. They provide strategic leadership in data science projects, mentor teammates, and influence decision-making through data-driven insights.

Responsibilities

Qualifications:

Lead the design and execution of data science projects to deliver high-impact analytics solutions.
Partner with client stakeholders to understand business challenges and develop data-driven strategies.
Oversee data acquisition and integration, ensuring data quality and reliability.
Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
Guide the deployment and integration of predictive models into business applications.
Develop and implement strategies for optimizing model performance and monitoring over time.
Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
Mentor and support junior and senior team members in data science methodologies and best practices.
Influence data governance and best practices within the organization.
6+ years of experience in predictive analytics using Python, R, or Scala.
6+ years of experience writing complex SQL queries for data extraction and transformation.
Extensive experience applying machine learning techniques, including deep learning and NLP.
Expertise in large-scale data platforms, including Hadoop, Spark,

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