Senior Data Science Developer with Security Clearance

Integral Federal, Inc.; Maryland; Hybrid; USD 155,000 - 175,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Flexible Spending Accounts

Short-Term and Long-Term Disability

Life Insurance

Paid Time Off & Holidays

Earned Bonuses & Awards

Professional Training Reimbursement

Paid Parking

Employee Assistance Program

Equal Opportunity Employer/Protected

Job summary

Integral Federal is hiring a Senior Data Science Developer in Annapolis Junction, MD (Hybrid) to support the TSA Performance Engineering Analytics program. You will develop software, models and data products in AWS and on-prem environments, using Python, R, Java, and SQL, and integrate with TSA platforms and BI reporting.

You will design solutions for large datasets, optimize performance, and produce documentation for technical specs, test plans, and deliverables.

Qualifications

• 10+ years of relevant experience.
• Senior level developer in similar environments and with listed tools.

Responsibilities

• Develop software, tools, models and data products in cloud and on-prem environments.
• Design solutions for large datasets using modern techniques.
• Develop data science applications and reporting with TSA systems.

Skills

Python

R

SQL

Data analytics

Jupyter/Lab

Education

Master of Science degree

Tools

AWS

AWS Glue

Redshift

Power BI

Job description

Senior Data Science Developer Location: Annapolis Junction, MD (Hybrid) Clearance: Public Trust (Level 4; High-Risk) Integral Federal is looking to hire a Senior Data Science Developer to support the Transportation Security Administration (TSA) Performance Engineering Analytics (PEA) program. The PEA program will support TSA as they continue to look for ways to enhance its layered approach to security through new state-of-the‑art technologies, expanded use of existing and proven technologies, improved passenger identification techniques, and other developments that will continue to strengthen anti-terrorism capabilities. Responsibilities

• Develop software, tools, models and data products in both cloud (AWS) and on-premises data science and data analytics environment using a variety of programming languages such as Python, R, Java, and SQL
• Design and implement solutions to complex, large dataset problems using modern, leading practices and innovative techniques
• Develop and integrate data science applications, products and reporting solutions with the TSA systems, platforms and frameworks
• Develop creative solutions to data limitations, such as, regular purging of Personally Identifiable Information (PII), while maintaining the ability to perform frequency analyses, models, trends etc
• Test, maintain and recommend software improvements to ensure fit-for-purpose functionality and good practices optimization
• Ideate and identify opportunities to improve system capabilities and performance
• Produce documentation in support of technical specifications, test plans and software-related work products
• Make good technical decisions that provide solutions to business and stakeholder challenges and problems
• Compile timely, comprehensive and accurate documentation and/or reports as requested
• Qualifications Required: -10+ years of relevant experience -Currently or recently working as senior level developer in similar environments and with the tools (or similar tools) listed below * On-premises and/or Cloud data science and data analytics environments
• Python and R in a data science toolkit environment or notebook environment
• AWS Cloud products (Glue, Redshift)
• Microsoft Power BI Report server or similar business intelligence tool
• Development experience with a focus on data manipulation and/or statistics
• Experience with data visualizations, reporting systems and Dashboards
• Experience with performance troubleshooting of Python and R code in a notebook or data science toolkit environment
• Expertise with complex SQL and large data sets; query troubleshooting and optimization to include analyzing optimization plans and debugging stored procedures
• Ability to learn new languages and technologies and solid troubleshooting aptitude
• Excellent verbal and written communication skills
• Strong analytical, problem-solving skills
• Resourcefulness and attention to detail
• Preferred:
• Experience working in TSA mission or DHS environments
• Experience working in data science and data analytics environments
• Experience working as part of a team in an Agile environment to deliver software and data solutions
• Software development in an AWS Cloud environment
• Some development experience with Artificial Intelligence (AI) and Machine Learning (ML)
• Experience with Zeppelin notebooks or similar web-based notebook collaboration environment (e.g. JupyterLabs)
• Master of Science degree
• Salary range: $155,000-$175,000 The above salary range represents a general guideline. Integral Federal considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and/or discretionary bonuses in addition to base pay. Company Overview Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward‑leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure. Integral is headquartered in McLean, VA and serves clients throughout the country. We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Our package also includes:
• Medical, Dental & Vision Insurance
• Flexible Spending Accounts
• Short-Term and Long-Term Disability Insurance
• Life Insurance
• Paid Time Off & Holidays
• Earned Bonuses & Awards
• Professional Training Reimbursement
• Paid Parking
• Employee Assistance Program Equal Opportunity Employer/Protected Veteran/Disability