Job Details

  • Title: Data Science Consultant
  • Code: RCI-32570-1
  • Location: Oak Brook Illinois (IL) 60523
  • Posted Date: 05/13/2020
  • Duration: 12 Months
Talk to our Recruiter

  Job Description

  • This position is responsible for enabling Utilities to leverage smart grid and customer data to generate actionable intelligence, improve decision making, drive innovation, and unlock new business insights. Specifically, this data will include time-series (smart-meters, smart-grid, and other IoT), structured (relational data stores), and unstructured (text and multi-media) data.
  • Build high-quality prediction systems that solve our customer’s business problems by applying data mining, machine learning, deep learning. Perform statistical analysis, exploring, interpreting, and analyzing datasets for patterns of interest. 40% 
  • Support the development of strategic business, marketing, and program implementation plans. 15%
  • Access and enrich data warehouses across multiple Company departments.
  • Build, modify, monitor and maintain high-performance computing systems. 5%
  • Provide expert data and analytics support to multiple business units 20%
  • Works with stakeholders and subject matter experts to understand business needs, goals and objectives. Work closely with business, engineering, and technology teams to develop solution to data-intensive business problems and translates them into data science projects. Collaborate with other analytic teams across Company on big data analytics techniques and tools to improve analytical capabilities. 20%
Minimum:
  • Education: Bachelor’s degree in a Quantitative discipline.
  • Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field
Experience: 
  • Between 5-8 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
  • Analytical Abilities: 
    • Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
  • Technical Knowledge: 
    • Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.).
    • Experience working within an open source environment and Unix-based OS.
  • Communication Skills: 
    • Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives. Strong oral and written communication skills.
Preferred:
  • Education: Masters, or PhD in a Quantitative discipline.
  • Ex: Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field
Experience:
  • Prior exposure to the utilities or broader energy sector.
  • Prior exposure to the full spectrum of data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication.
  • Analytic Abilities: 
    • Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
  • Technical Knowledge
    • Expert level coding skills (Python, R, Scala, SQL, etc), and experience developing in a Unix environment.
    • Proficiency in database management and large datasets: create, edit, update, join, append and query data from columnar and big data platforms.
    • Experience with deep learning frameworks such as Keras, Tensorflow, and PyTorch. 
    • Experience with Docker, Kubernetes to deploy Data Science Models on the Cloud.
  • Communication Skills:
    • Ability to translate executive and analytics leaders’ vision and guidance into methods and analytics. Strong time management and presentation skills.