The US Census Bureau (USCB) is undergoing a digital transformation in preparation for the 2030 Decennial Census and seeks to integrate advanced technologies and techniques to enhance and scale up the Decennial System of Systems (SoS). The 2030 Decennial Census program will grow to become one of the largest, most innovative Federal Civilian production environments within AWS GovCloud. T-Rex Solutions LLC seeks two Data Science SMEs / Senior Software Developers with a strong background in data science and hands-on software development to drive the creation of sophisticated data linkage and matching applications to enhance the functionality and efficiency of the Decennial SoS.

Responsibilities:

• Data Science Engineering: Lead initiatives in data linkage and matching, ensuring the design and implementation of algorithms meet technical requirements and performance expectations.
• Model Verification and Process Optimization: Review and analyze model output against technical requirements, provide actionable feedback, and recommend process enhancements to boost data verification efficiency.
• Legacy Conversion and Optimization: Convert and optimize existing data processing modules and queries from legacy systems such as SAS/STATA to PySpark for improved performance and scalability in cluster-based environments.
• Collaborative Development and Innovation: Work closely with other data scientists and software developers to brainstorm, design, and develop new data processing approaches and solutions. Provide hands-on code development for new approaches. Engage in continuous improvement activities to enhance model verification and performance.
• Technology Integration and Support: Assist application engineering and DevOps teams with the deployment of data science packages, addressing technical issues as they arise. Set up and customize Spark and other development environments to meet project requirements.
• Documentation and Maintenance: Manage and maintain the code base, datasets, and documentation associated with data analysis to ensure compliance with project specifications and security standards.
• Stakeholder Engagement: Collaborate with stakeholders to define technical directions and update project requirements, ensuring alignment with the broader goals of USCB.

Requirements:

• Education and Experience: Bachelor's Degree in Computer Science, Data Science, Engineering, or a related field, with at least 12 years of relevant experience in a high-stakes, data-centric environments.
• Technical Expertise: Proven expertise in Python, PySpark, and familiarity with legacy systems such as SAS/STATA. Strong foundation in AWS cloud-native services and solutions, with a solid track record of developing and deploying advanced data-driven applications.
• Data Science Proficiency: Extensive knowledge in data modeling, analysis, large-scale data processing, data mining, and verification, with a demonstrated ability to lead data science projects and develop new algorithms.
• Security and Compliance: US Citizenship and the ability to obtain a Department of Commerce Public Trust clearance.

Desired Skills:

• Industry Experience: Experience with USCB and AWS technologies highly desirable.
• Advanced Data Handling: Proven capability in data engineering or data science, with hands-on experience using AWS SageMaker and other industry-standard data analytics tools.
• Professional Strengths: Strong analytical and problem-solving skills, excellent communication abilities, and a demonstrated leadership in managing complex, data-centric development projects from start to finish.

T-Rex Overview

Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.

T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits.

T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.

As part of our overall strategy and commitment to maintaining a safe and healthy workplace, and in accordance with applicable regulations, employees of T-Rex must be fully vaccinated against COVID-19 if required by customer or client policies or federal mandates as a condition of employment, subject to reasonable accommodation and other requirements under applicable federal, state, and local law. If required by the customer, the selected individual will have to submit documentation of proof of vaccination before starting employment with T-Rex or have an approved exemption prior to the start of employment.

In compliance with pay transparency guidelines, the annual base salary range for this position is $150,000 - $230,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.