Data Scientist III Job at SGS Consulting, Washington DC

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  • SGS Consulting
  • Washington DC

Job Description

Job Responsibilities:

  • Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.
  • Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, and experimentation.
  • Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions.
  • Work closely with stakeholders, data engineers, and program/product managers to ensure seamless progress.

Skills:

  • Minimum 2+ years of experience with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.
  • Minimum 2+ years experience analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.
  • Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis.
  • Proficient in statistical analysis and experimental design NICE-TO-HAVE SKILLS:
  • Demonstrated experience with data management, data engineering and research devices in ambiguous environments.
  • Experience building medium to large scale systems and services.

Education/Experience:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 2+ years of experience with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.
  • 2+ years experience analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.
  • Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis.
  • Proficient in statistical analysis and experimental design.

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