Arbitration Forums is looking to solve complex business problems and discover business insights through the use of statistical, algorithmic, mining, and visualization techniques.
Requirements
- Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud)
- Experience with AI tools, such as MS Azure ML, Snowflake CortexAI, Dataiku
- Strong knowledge of data governance, data security, and compliance practices
- Proficiency in programming languages such as Python, R, or SQL
- Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI)
- Experience using statistics and machine learning to solve complex business problems
- Experience building and deploying predictive models, web scraping, and scalable data pipelines
Responsibilities
- Translates business needs into advanced analytics requirements to support the organization and its members.
- Proactively mines data warehouses to identify trends and patterns and generates insights to enhance the experience of our members.
- Performs large-scale experimentation to identify hidden relationships between variables in large datasets.
- Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient.
- Determines requirements that will be used to train and evolve deep learning models and algorithms.
- Develops frameworks and processes to analyze unstructured information to enrich the decision-making capabilities of our members.
- Ensures that AI models are maintained throughout the lifecycle, ensuring proper monitoring and observability across environments.
Other
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field
- Minimum of 8 years of experience in data science, machine learning, data management, data governance, or a related role
- Excellent analytical and problem-solving abilities
- Strong communication and interpersonal skills to collaborate with cross-functional teams
- Ability to lead projects and mentor junior staff
