Job Title: Data Scientist
Workplace: Remote (preference for candidates located in the National Capital Region - DMV)
Clearance Required: CBP BI or DHS Suitability clearance adjudicated within the past 4 years
Position Overview:
Supports U.S. Customs and Border Protection. 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:
-
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.
-
Advanced Degree (Masters 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
Preferred Experience and Skills:
-
Expertise using Qlik to embed visualizations into webpages
- Experience with Tableau and Power BI tools.
-
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
-
Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA)
-
Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs.
- Demonstrated experience within an AWS environment (AWS certifications preferred).
- Familiarity with industry best-practices for software-hardware optimization when processing large sets of data.
Why apply to this position at Elder Research?
-
Competitive Salary and Benefits
-
Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States.
-
Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.
-
Remote Work: in an industry of declining remote work opportunities.
-
People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement.
-
Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.
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.
Skills Required
- Six years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, or operations research.
- Three years of direct experience in machine learning.
- Advanced Degree (Masters or PhD) in relevant field.
- Demonstrates knowledge of data mining methods and machine learning.
What We Do
Elder Research is a recognized leader in data science, machine learning, and artificial intelligence consulting. Founded in 1995 by Dr. John Elder, Elder Research has helped government agencies and Fortune Global 500® companies solve real-world problems in diverse industry segments. Our goal is to transform data, domain knowledge, and algorithmic innovations into world-class analytic solutions. When we combine the business domain expertise of our clients with our deep understanding of advanced analytics, we create a team that can extract actionable value from the data. Our areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Experience with diverse projects and algorithms, advanced validation techniques, and innovative model combination methods (ensembles) enables Elder Research to maximize project success for a continued return on analytics investment. In 2020 we acquired the Institute for Statistics Education at Statistics.com to provide focused data science, analytics, and statistics training for corporations and individuals. The Institute’s certificates and degrees are certified by the State Council of Higher Education for Virginia, and its courses are approved by the American Council on Education. Elder Research’s Analytics Services are designed to scale based on the unique requirements of each organization and can maximize the client’s return on analytic investment. Elder Research is also a leader in advanced analytic training and offers a variety of training services directed at each of the key stakeholders within an organization. Training builds a common foundation and vision for analytics across business units and lead to the successful adoption, deployment, and maintenance of analytic models within an organization.
