Application Architect V
2 weeks ago
Location: Jersey City, NJ
Position Type: Contract
Job Responsibilities:
- Identify valuable data sources and automate mining/collection processes.
- Undertake preprocessing of structured and unstructured data.
- Analyze large amounts of data/information to discover and articulate trends and patterns.
- Build predictive models and machine-learning algorithms.
- Make and defend arguments using data and data-based insight.
- Leading the design, architecture, ML pipeline development for Capital Markets.
- Design, execute and deploy projects aimed at solving high-impact business problems.
- Partnering with Application Programmers to provide specifications for deploying models/algorithms into production systems, when applicable
- Present to customers projects and validate needs and requirements to feed into the business case
- Provide analysis and due diligence expertise with potential strategic partners
- 5+ years' experience in a quantitative, Data Science or other advanced data & predictive analytics role
- 3+ years' experience in Python and Tableau
- Must have a software development background in order to prototype custom analytics/tooling
- Practical experience with data analysis and exploration, especially with diverse data sets
- Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink)
- Architect and work closely with other team members to develop scalable cloud-based data analytic solutions
- Capable of applying the latest technologies and methodologies in machine learning, data mining, and predictive analytics to correlate disparate datasets and events, and derive value.
- Has a proven ability to learn quickly and works well both independently as well as in a team setting
- Practical experience with data mining, machine learning techniques, natural language processing, and data visualization
- Experience of working on end-to-end data science pipelines: problem scoping, data gathering, exploratory data analysis, modelling, insights, visualizations, monitoring and maintenance
- Proven track record of strong analytical skills, learning agility, and independent thinking.
- Ability to make observations, form an option, and articulate to the team
- Team Leadership
- Enterprise Software Development
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