Job Description

Viderity is an award-winning consulting firm specializing in IT, creative services, and outreach services for federal agencies and commercial clients, with a strong focus on STEM support for civilian agencies. We have a track record of perfect CPARS and exceptional reviews across agencies such as NSF, USPTO, DOL, NARA, NIST, and Smithsonian. At Viderity, you'll be part of a friendly, smart, and passionate team focused on tackling technology, management, and creative projects. This is a 100% remote role for candidates based in the Washington D.C. Metro Area (D.C., Maryland, Virginia). Candidates can be located within a 2-hour commute from Alexandria, Virginia. About the job: The role involves evaluating alternate models via theoretical approaches, identifying and exploiting data assets to create new patterns and business value, and building predictive models with advanced algorithms to extract and classify information from large datasets. The candidate will analyze data to develop robust statistical and predictive algorithms/models that drive product outputs, identify meaningful patterns and trends to expose new business opportunities, and translate results into understandable and actionable outputs that answer real business questions. This position enhances measurable value for the Agency and its customers by improving customer and operational Key Process Indicators (KPIs). Must-Have Requirements Security Clearance Requirements: Must possess an active IT-2 level security clearance for non-critical sensitive information. Clearance must be supported by a current Tier 3 (T3) investigation or a National Agency Check with Local Agency Check and Credit Check (NACLC) at the time of application. Certification Requirements: Must hold a current DoD 8570.01-M IAM III level certification from the DoD-approved baseline certifications list. Must possess a CE/OS certificate relevant to Oracle-based systems, specifically applicable to the DAI Application Environment, as per the DLA-approved list. All certifications must be from nationally recognized technical authorities. Important Note: Candidates must meet all security clearance and certification requirements at the time of application. Applications that do not demonstrate these qualifications will not be considered. Required Skills: Minimum of 5 years of relevant and practical experience with SAS, data processing, and data analytics Extensive background in data mining and statistical analysis Excellent communication and teamwork skills Ability to evaluate alternate models using theoretical approaches Experience identifying and exploiting data assets to create new patterns and business value Proficiency in building predictive models and developing advanced algorithms for large datasets Strong analytical skills to identify meaningful patterns and trends that translate into actionable business insights Master’s Degree in Computer Science, Statistics, Applied Math, or a related field Preferred Skills: Experience working in an Agile development environment Familiarity with AWS features such as AWS SDK, S3, SNS/SQS, SES, or Lambda functions Experience with JIRA, Confluence, or other project/issue tracking software Excellent problem-solving skills, including identifying areas for improvement in processes or analytics Knowledge of modern data science tools and frameworks Experience with Oracle-based application environments Familiarity with Docker, Kubernetes, and deployment pipelines Salary Range: $130,000 - $142,803 Benefits: 401(k) 401(k) matching Health Insurance Paid Time Off Retirement Plan Vision Insurance #J-18808-Ljbffr Up Closets of Charleston

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