Lead Data Scientist

9 hours ago

Houston, Texas, United States ClearpointCo. Full time
Job Title: Lead Data Scientist

Job Summary:

We are seeking a highly skilled Lead Data Scientist to join our team at ClearpointCo. The successful candidate will be responsible for spearheading the design, development, and implementation of advanced data science initiatives across business units.

Key Responsibilities:

  • Translate business needs into analytics/reporting requirements to support data-driven decisions.
  • Keep abreast of the latest data science techniques and technologies.
  • Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes.
  • Communicate complex data insights in a clear and effective manner to stakeholders across the organization.
  • Advocate for the importance and value of data-driven decision making.
  • Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms.
  • Ensure analytical insights and products are embedded into business processes.
  • Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards.
  • Provide input to the long/term plan for Data Science team, including key focus areas, talent acquisition, and technology platforms.

Requirements:

  • 7+ years of experience with at least one analytical programming language relevant for data science.
  • Demonstrated ability to lead and manage data science projects, including managing workflow and priorities.
  • Proven track record of recruiting, training, and retaining a skilled data science team.
  • Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks.
  • Versed in TensorFlow, PyTorch, scikit-learn, and familiar with data processing and visualization tools.
  • Expertise in advanced analytical techniques, including descriptive statistics, machine learning, optimization, pattern recognition, and cluster analysis.
  • Experience with cloud computing environments and Data/ML platforms.
  • Strong understanding of the Machine Learning lifecycle, including feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop.
  • Experience in Supervised and Unsupervised Machine Learning, including classification, forecasting, anomaly detection, and pattern recognition.
  • Good understanding of programming best practices, building for re-use, and highly automated CI/CD pipelines.
  • Proven track record of leading cross-functional teams to successfully deliver complex data-driven projects.
  • Excellent problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights.

Education:

  • Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years' experience in data sciences.
  • Relevant certifications, such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning, are advantageous.

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