Director of Data Science

  • Create Data Science strategy and roadmap
    - Manage and grow our team of Data Science experts
    - Represent Data Science for NSRL, NXT and partner with internal/external stakeholders
    - Bring a rigorous statistical, data-driven mindset to all data science decisions
    - Work closely with researchers to ensure data collection, management and analysis yield valuable results
    - Big data analysis to deliver insights to product teams and researchers
    - Partner with internal and external resources to achieve goals and deliverables
    - Build strong relationships with senior leaders and work collaboratively cross functionally to develop strategies to leverage data
    - Participate in client presentations and provide ongoing consulting with external clients
    - Assess current capabilities and create a roadmap aligned with corporate growth strategy
    Qualifications
    - Masters Degree in Statistics, Computer Science, Mathematics or related field. PhD in relevant field preferred
    - At least eight years of data science or relevant experience
    - At least five years management experience
    - Experience in machine learning, statistical modeling and algorithm development
    - Ability to be both visionary and strategic in thinking, as well as tactical in executing strategies
    - Excellent oral, written and interpersonal communications skills to effectively influence and exercise discretion, judgment and diplomacy when dealing with internal and external stakeholders

    Desired Experience:
    - Experience or familiarity with sport-science data (such as biomechanical, physiological and/or performance data)
    - Experience or familiarity with footwear, apparel and sports equipment product creation
    - Experience with Time Series Analysis and Forecasting methods
    - Experience extracting and manipulating large datasets
    - Experience in designing self-service portals for basic insights and data visualization
    - Experience in rapid prototyping of solutions in iterative fashion from data ingestion to communicating insights and analytics
    - Working knowledge of modeling framework
    - Knowledge with ML/Data Science framework in python and R such as Scikit, Statsmodels, Tensorflow, Keras, PyTorch, MxNet
    - Knowledge of programming languages for data science: Python, R, Scala, Java
    - Experience with; Pattern Recognition, classification, clustering, time-series analysis, sensor fusion, multivariate statistics, categorical data analysis, regression, SVM, Clustering neural networks, logistic regression, Lasso, Frequency domain analysis, FIR/IIR, Filters.
    - Consistently proven ability to manage/implement projects and contribute to concept development - Masters Degree in Statistics, Computer Science, Mathematics or related field. PhD in relevant field preferred
    - At least eight years of data science or relevant experience
    - At least five years management experience
    - Experience in machine learning, statistical modeling and algorithm development
    - Ability to be both visionary and strategic in thinking, as well as tactical in executing strategies
    - Excellent oral, written and interpersonal communications skills to effectively influence and exercise discretion, judgment and diplomacy when dealing with internal and external stakeholders

    Desired Experience:
    - Experience or familiarity with sport-science data (such as biomechanical, physiological and/or performance data)
    - Experience or familiarity with footwear, apparel and sports equipment product creation
    - Experience with Time Series Analysis and Forecasting methods
    - Experience extracting and manipulating large datasets
    - Experience in designing self-service portals for basic insights and data visualization
    - Experience in rapid prototyping of solutions in iterative fashion from data ingestion to communicating insights and analytics
    - Working knowledge of modeling framework
    - Knowledge with ML/Data Science framework in python and R such as Scikit, Statsmodels, Tensorflow, Keras, PyTorch, MxNet
    - Knowledge of programming languages for data science: Python, R, Scala, Java
    - Experience with; Pattern Recognition, classification, clustering, time-series analysis, sensor fusion, multivariate statistics, categorical data analysis, regression, SVM, Clustering neural networks, logistic regression, Lasso, Frequency domain analysis, FIR/IIR, Filters.
    - Consistently proven ability to manage/implement projects and contribute to concept development

Back to top