Senior Data Scientist

| Chicago | Hybrid
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Responsibilities

  • Be the thought leader for data science, AI and ML for the team’s.
  • Provide leadership, guidance and mentoring to junior data scientists and practitioners in our product and delivery teams.
  • Define features, tooling and improvements to our products and processes.
  • Help grow our data science team for the future.
  • Keep pulse of the latest development in AI/ML, big data, and the tools and products data scientists and businesses uses.

 

Role Specific Skills

  • Strong problem-solving skills with an emphasis on product development
  • Experience using scripting languages and tools (Python, R, etc.) to manipulate data and draw insights from large datasets
  • Experience working with and creating data architectures
  • Knowledge of a variety of machine learning techniques (clustering, decision tree, neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • A drive to learn and master new technologies and techniques
  • Familiar with the following software/tools/platforms:
    • Coding knowledge and experience with several languages: C#, C++, Java, JavaScript, etc.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases and using scripting languages: Python, SQL, etc.
    • Experience with cloud computing (ML) platforms (AWS, Azure, etc.)
    • Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Spark, etc.
    • Experience creating and using advanced machine learning algorithms and statistics: Regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience with data visualization tools and presenting data to stakeholders

 

 Professional Skills

These are the professional skills we would expect from an individual fully established in this role.

  • Customer Service - Proficient
  • Verbal Communication - Advanced
  • Written Communication - Advanced
  • Teamwork - Advanced
  • Relationships – Advanced
  • Learning Agility - Expert
  • Analysis - Expert
  • Problem Solving - Expert
  • Process Orientation - Expert
  • Prioritization - Advanced

 

Qualifications

    Minimum Qualifications

  • Bachelor’s degree required. Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field (Preferred)
  • At least 3 years of experience in developing and applying advanced analytics and machine learning techniques to software product development and creating high-impact business analytics initiatives

      Other Relevant Qualifications

  • Experience building production services, preferably as part of a product development team. A track record of implementing data-driven products is ideal.
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Location

130 E. Randolph Street, Chicago, IL 60601

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