Role overview
This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
What you'll work on
- Performs business analytics, which include data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
- Applies agile practices for project management, solution development, deployment, and maintenance
- Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
- Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
- Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
- Mitigates risk by identifying potential issues and developing controls
- Researching the latest advances in the fields of data science and artificial intelligence to support business analytics
What we're looking for
- Advanced academic or research background in mathematics, statistics, or applied machine learning.
- Experience developing or maintaining Java‑based enterprise applications.
- Experience designing and building RESTful web services or APIs for ML or AI solutions.
- Exposure to NoSQL databases such as Cassandra or equivalent distributed data stores.
- Experience with open‑source search and indexing platforms, including Elasticsearch or SOLR.
- Prior experience working in Agile or Scrum development environments.
- Hands‑on experience building chatbots, conversational AI solutions, or internal AI productivity tools.
- Practical experience with Azure and/or AWS services, including compute, storage, and ML/AI tooling.
- Familiarity with CPU/GPU inference engines, performance optimization, or large‑scale model serving in production environments.
Skills:
- Adaptability
- Attention to Detail
- Business Analytics
- Technical Documentation
- Written Communications
- Agile Practices
- Application Development
- Collaboration
- Data Visualization
- DevOps Practices
- Artificial Intelligence/Machine Learning
- Networking
- Policies, Procedures, and Guidelines Management
- Presentation Skills
- Risk Management
Shift:
1st shift (United States of America)
Tags & focus areas
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