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Lead Data Scientist

4 months ago

Chicago, United States Burtch Works Full time

MUST BE IN CHICAGOLAND AREA FOR CONSIDERATION


Essential Duties and Responsibilities

  • Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
  • Identify and apply best analytical techniques to achieve business objectives.
  • Design, develop, and deploy advanced analytics solutions, including predictive and prescriptive outputs, insights, and visualizations to enable business users to make better data-driven decisions.
  • Execute analytic activities supporting solution development, including data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection.
  • Develop deep understanding of internal and external data.
  • Create appropriate standards and processes to ensure quality and consistency solutions.
  • Direct activities of associate/senior data scientists, third-party contractors, and consultants for specific business projects.
  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
  • Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.
  • Contribute to the team effort by accomplishing related results and participating on projects as needed.


Experience:

  • 5+ years of relevant work experience
  • Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, dimension reduction
  • Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented
  • Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
  • Expertise developing and applying machine learning algorithms
  • Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights
  • Proficient in Python, R, SQL
  • Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)
  • Proven track record of leading projects and cross-functional teams
  • Strong problem-solving and analytical thinking skills


Education/Certifications:

  • Master’s degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study


Preferred Experience:

  • Experience working with Agile methodologies
  • Experience using data visualization tools (e.g., Power BI)
  • Experience with IOT, software-defined customer experiences, private equity backed companies