Job Description
Job Title: Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)
Clearance Required: a
TS or
CBP BI or
DHS Suitability clearance adjudicated within the past 4 years
Position Overview: Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.
Requirements: - MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning.
- Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience.
- Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.
- Ability to communicate analysis techniques, concepts and products.
- Ability to develop data-driven solutions, data models, and visualizations
- Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)
Preferred Experience and Skills: - Expertise using Qlik to embed visualizations into webpages
- Familiarity with Databricks or similar cloud-based distributed database technologies
- Familiarity with PySpark and Python
- Comfortable developing complex SQL queries to extract, transform, and load data
About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.
Job Tags
For contractors, Work at office, Immediate start, Remote work, Flexible hours