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Senior Data Scientist

https://www.roberthalf.com Logo

Robert Half

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Location:
United States, Las Vegas

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are looking for a skilled Senior Data Scientist to join our team on a long-term contract basis in Las Vegas, Nevada. This role requires a deep understanding of advanced analytics and machine learning techniques to drive business success through actionable insights and innovative solutions. You will play a key role in developing models, optimizing processes, and guiding team members to ensure excellence in data-driven decision-making.

Job Responsibility:

  • Lead complex projects from initial concept through implementation, ensuring measurable business impact
  • Develop advanced models for profitability, forecasting, and demand optimization using econometrics and machine learning techniques
  • Design and evaluate A/B and multivariate experiments to assess the effectiveness of business initiatives
  • Create dashboards, visualizations, and automated reports to communicate insights effectively
  • Analyze and validate data integrity, addressing issues such as endogeneity, heteroskedasticity, and autocorrelation
  • Identify and implement optimization strategies to drive incremental profit growth
  • Provide guidance to team members in data wrangling, model validation, and effective communication of findings
  • Research and utilize emerging technologies, including machine learning and generative AI, to enhance analytical capabilities
  • Employ cloud platforms such as Databricks for scalable data processing and deployment

Requirements:

  • Bachelor’s degree in Economics, Statistics, Data Science, or a related field
  • Master’s degree preferred
  • Minimum of 3 years of experience in developing econometric and machine learning models with proven business impact (or 2 years with a Master’s degree)
  • Proficiency in Python and experience with cloud platforms like Databricks
  • Strong knowledge of time series forecasting, A/B testing, and supervised/unsupervised machine learning
  • Familiarity with generative AI tools and libraries such as spaCy or Hugging Face
  • Expertise in using BI tools like Power BI and Tableau for data visualization
  • Experience with ETL processes and technologies such as Apache Spark, Hadoop, and Kafka
  • Exceptional communication skills and the ability to present complex insights to both technical and non-technical audiences
What we offer:
  • medical, vision, dental, and life and disability insurance
  • 401(k) plan

Additional Information:

Job Posted:
September 11, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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