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Data Scientist

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Robert Half

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Location:
United States , Atlanta

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes.

Job Responsibility:

  • Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases
  • Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs
  • Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows
  • Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis
  • Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience
  • Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting
  • Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use
  • Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges

Requirements:

  • Strong programming ability in Python for data analysis, model development, and production-oriented workflows
  • Hands-on experience creating and assessing machine learning models for predictive analytics and forecasting applications
  • Practical knowledge of Azure Databricks and Apache Spark, including a solid understanding of core Spark capabilities
  • Experience with time-series analysis and familiarity with algorithms such as XGBoost, LightGBM, or comparable modeling techniques
  • Working knowledge of data engineering concepts, including ETL processes, SQL querying, and dataset preparation
  • Ability to communicate technical concepts to non-technical audiences and explain the business implications of analytical decisions
  • Background in retail, consumer goods, or closely related industries is strongly preferred
  • Proven ability to work independently, adapt quickly, and succeed in client-focused environments with changing priorities
What we offer:
  • Medical, vision, dental, and life and disability insurance
  • Enrollment in company 401(k) plan

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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