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.<br><br>Responsibilities:<br>• Lead complex projects from initial concept through implementation, ensuring measurable business impact.<br>• Develop advanced models for profitability, forecasting, and demand optimization using econometrics and machine learning techniques.<br>• Design and evaluate A/B and multivariate experiments to assess the effectiveness of business initiatives.<br>• Create dashboards, visualizations, and automated reports to communicate insights effectively.<br>• Analyze and validate data integrity, addressing issues such as endogeneity, heteroskedasticity, and autocorrelation.<br>• Identify and implement optimization strategies to drive incremental profit growth.<br>• Provide guidance to team members in data wrangling, model validation, and effective communication of findings.<br>• Research and utilize emerging technologies, including machine learning and generative AI, to enhance analytical capabilities.<br>• 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.<br>• 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).<br>• Proficiency in Python and experience with cloud platforms like Databricks.<br>• Strong knowledge of time series forecasting, A/B testing, and supervised/unsupervised machine learning.<br>• Familiarity with generative AI tools and libraries such as spaCy or Hugging Face.<br>• Expertise in using BI tools like Power BI and Tableau for data visualization.<br>• Experience with ETL processes and technologies such as Apache Spark, Hadoop, and Kafka.<br>• Exceptional communication skills and the ability to present complex insights to both technical and non-technical audiences.

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