Global Data and Analytics Expert
1 week ago
We are seeking a highly skilled Data Scientist to partner with multiple departments, driving business results through advanced analytics projects. This unique opportunity offers the chance to work on a new, growing team within a large organization.
The ideal candidate will deliver high-impact projects that contribute to all aspects of project work, including business question interpretation, methodology selection, data cleaning, exploratory data analysis, model building, and polished deliverable creation. They will also demonstrate exceptional critical thinking ability, a high sense of curiosity, and comfort with ambiguity in complex challenges. Strong collaboration and communication skills are essential for effectively presenting complex concepts to non-technical audiences.
Main Responsibilities:
- Develop predictive models and advanced analytics in areas such as real estate site selection forecasts and network optimization.
- Conduct research to advance analytical methods for solving business problems.
- Present complex findings to stakeholders and business leaders in clear, concise language.
- Create datasets with data engineering teams, defining requirements and testing cases for data validation and monitoring.
- Write programming code (SQL, Python, R, Spark) following organizational standards and best practices.
- Mentor and train team members, providing developmental support where necessary.
- Lead project planning development and agile ceremonies, ensuring compliance with defined processes.
- Demonstrated expertise in SQL, R, and Python, with experience querying large datasets using SparkSQL or PySpark.
- Familiarity with ML frameworks (scikit-learn, Tensorflow, Keras, Pytorch), software development practices, and version control systems like Git.
- Experience working in cloud-based analytics environments (Azure, AWS, GCP) and applying operational research, statistical, and machine learning techniques.
- Strong problem-solving skills, interpersonal skills, and ability to communicate business benefits of analytics.
- Bachelor's or Master's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics).
- $120,000 - $180,000 annual salary based on experience.
- Hybrid schedule with 3+ days in the office per week.
- 10% travel requirement.
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