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2019-04-02 17:43:07
Key Skills:
Data Mining Analyst (preferably AI / ML) Loc: Arlington, VA
2019-04-02 17:43:07
Job Type:
Full Time only
Budget $: 100,000 - 200,000
Budget $: 100,000 - 200,000
Data Mining Analyst (preferably AI / ML)
Loc: Arlington, VA
Key Job Functions
- Confer with business unit managers and staff to determine needs for new or revised analytical needs and suggest new analytical pathways to address those needs.
- Confer with database administrators, data architects, and data warehouse managers to assess type, scope, and provenance of data available for further or new forms of analysis.
- With pertinent client and technical staff, develop or consult on specifications of analytical study, new dataset(s), or novel report to be derived from database or data warehouse.
- Determine formats, structure, and categories of data to be used or extracted in exercise, and relationships between data elements that will produce information of business interest to client.
- Use or modify variety of data mining algorithms needed to conduct data mining exercise. Document for further development or for execution of exercise.
- Using algorithms or other mining tools, prepare data for analysis, build pattern libraries, and find relationships or other statistically significant measurements that answer client needs for specified business processes.
- Consult or provide technical advise on larger project in which data mining methodology may contribute to larger analytical or business intelligence objective(s). Assess feasibility of data mining as component or chosen method of analytical pathway.
- Bachelor's Degree or equivalent required
- 4+ years of related experience
- Selecting features, building and optimizing classifiers using machine learning techniques
- Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions
- Strong expertise with machine learning and deep learning models
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- Scaling out ecosystems in the ML/AI space
- Strong expertise with classification models
- Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions
- Experience with data modeling and analytics solution stacks
- Experience using and adapting to new technologies
- Demonstrated ability to think strategically about business, product, and technical challenges
- 2 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / computational biologist / bioinformatician)
- In-depth knowledge of R preferred
- In-depth knowledge Python
- Familiarity with cloud tools (ex. AWS S3 or Azure Databricks). Azure preferred
- Machine learning techniques such as supervised machine learning, decision trees, logistic regression etc.
- Ability to work with unstructured data
- Strong communication and collaboration skills
Key Skills:
