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Data Science Analyst

2 months ago

Chicago IL United States Robotics Prcocess Automation, LLC Full time
Job OverviewJob ID: J37671Specialized Area: Data ScienceJob Title: Data Science AnalystLocation: Chicago Heights,ILDuration: 8 MonthsDomain Exposure: Retail, Education, Oil & GasWork Authorization: Client: To Be Discussed LaterEmployment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)We are looking for individuals who excel at executing an analytics vision, with a focus on efficiency and sustainable value creation, through the use of data transformation, data analysis, converting business problems into analytical problems, quickly iterating on machine learning / analytics models, and building and deploying analytical solutions in a sustainable manner to deliver value to our internal client organizations.A successful candidate will bring advanced knowledge of best-in-class data transformation and analysis methodologies, analytics / machine learning tools and techniques, and an ability to adapt to, and learn very quickly from, a very diverse environment of data, technology, business problems and stakeholders.A Day in The Life Typically Includes:
  • This is a highly visible execution role for the business solutions analytics capability throughout the organization. The Data Analyst creates and manages the execution roadmap for the analytics strategy developed for a specific client organization / problem.
  • Serve as an analytics ambassador at the client organization, to build the path between strategy, data science model design, and solution development and deployment in client organization.
  • Serve as the primary contact for execution and collaboration across teams business, strategy, consulting, IT, data science
  • Ensure that all requirements for the data science team are met, and create a sustainable plan to serve these needs on an ongoing basis
  • Be the primary point of resolution for all issues like data security, data ingestion, solution deployment, unexpected delays
  • Identifying sources for data acquisition and ingestion
  • Performing ETL on the data, both internal and external sources
  • Data cleaning and quality analyses
  • Designing processes for delivering inputs to data science team, and consumption of insights / recommendations by the business teams.
  • Automation of various process to make them as efficient as possible
  • Escalating issues related to data, analyses, solution development and deployment to the relevant leaders immediatelyWhat You Will Need: Basic Qualifications:
    • Experience with data manipulation, especially using tools like R, Python, SQL
    • Ability to build machine learning models, especially through quick experimentation and iteration
    • Ability to extract insights from data through analyses
    • Ability to translate analytics into business insights
    • Stakeholder management capabilities, including communication across global teams
    • Experience with broad business problem-solving using advanced analytics (Data Science, Machine Learning, Artificial Intelligence)
    • Hands-on experience in building models of advanced analytics, machine learning etc. outside just an academic space
    • Hands-on experience with (EDA) Exploratory Data Analyses like univariate, bivariate, correlation, simple regression etc.
    • Expertise in handling data including extraction, clean up, quality analysis, preparation for data science, ingestion, extraction of insights, creating benchmarks, answering simple business questions
    • Hands-on experience with one or more of advanced analytics tools like SAS, R, Python
    • Hands-on experience with one or more of reporting solutions like Tableau, Power BI, Qlik, Spotfire
    • Should know the basic principles of modular solution designBonus Skills:
      • Experience working with remote teams, especially with teams spread out globally
      • Experience in supply chain analytics or operational analytics in an industrial environment
      • Hands on experience with data exploration tools and databases like SQL, HIVE, Oracle, Redshift, Alteryx, Hadoop, BigQuery etc.
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