Data Scientist

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.

Responsibilities:
• 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.
• 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.
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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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