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Elder Research Inc.

Data Scientist

Elder Research Inc., Chantilly, Virginia, United States, 22021


Career Opportunities with Elder ResearchA great place to work.Careers At Elder ResearchCurrent job opportunities are posted here as they become available.Data ScientistOn-site Location: Chantilly, VAHome office: Arlington, VAElder Research Inc. is a recognized leader in data science, machine learning, and AI. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We are looking for innovative and inquisitive self-starters who enjoy understanding a problem space and building fast, efficient, and tractable data infrastructure to deliver real value for our clients. As a Data Scientist, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, modeling, and stunning data visualization for custom client applications.Summary of PositionWe are looking for a talented and motivated data scientist experienced in working directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. This role will assist the client in integrating data analytics into their daily operations. You will create and deploy predictive models from a variety of data sources and types using the latest mathematical and statistical methods. You will also have the freedom to grow a team to support the client's data analytics needs.Job Specifications/RequirementsTS/SCI with a CI-PolygraphAbility to work on-site for 36-40 hours during a typical weekAbility to work independently and desire to learnAdvanced Degree in a technical field (M.S. or PhD) and 3-6 years of related work experience, OR B.S. in a technical field with 4-7 years of work experience (equivalent experience may be considered in lieu or in combination with education requirements)Proficient with one or more of the following programming languages (Java, C++, Python, R)Demonstrated experience applying data science methods to real-world problems.Knowledge and experience in data wrangling, advanced statistical data analysis, and modelingCapable of communicating complex models and concepts in non-technical languageExperience working with some of the following technologies: AWS, Azure, NoSQL databases (MongoDB, DynamoDB, Redis, HBase, Cassandra, Accumulo, Neo4j, etc.), Caffe/TensorFlow/Keras/etc., Hadoop, SparkProficiency with SQLDesired SkillsFamiliarity with relational databases (Oracle, PostgreSQL, etc.)Proficiency with unsupervised, semi-supervised, and supervised learning algorithms and technologiesExperience building models that will be deployed to real-time environmentsSecurity+ certification preferredAbout Elder Research, IncElder Research is a fast-growing consulting firm specializing in predictive analytics. Being in the data mining business for over 20 years, we pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong teamwork. 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.Elder Research believes in continuous learning; each week the entire company attends a “Tech Talk” followed by an office 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.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.

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