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Relocation Package Data Science Jobs in Virginia

Experience with common Python packages used for data science * Experience with cloud platforms such ... Relocation assistance is not a negotiable benefit for this position. Export Control Requirement:

Experienced Data Scientist

Herndon, VA · On-site

$137K - $186K/yr

Experience with common Python packages used for data science * Experience with cloud platforms such ... Relocation assistance is not a negotiable benefit for this position. Export Control Requirement:

Experience with common Python packages used for data science * Experience with cloud platforms such ... Relocation assistance is not a negotiable benefit for this position. Export Control Requirement:

Lead Data Science Engineer

Mclean, VA · On-site

$99K - $225K/yr

As a Data Science Engineer, you'll help build advanced technology solutions and implement data ... package for employees. This posting will close within 90 days from the Posting Date. Identity ...

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Relocation Package Data Science information

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a Data Scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Virginia? For Relocation Package Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Virginia look for? The top searched job categories for Relocation Package Data Science jobs in Virginia are:
What cities in Virginia are hiring for Relocation Package Data Science jobs? Cities in Virginia with the most Relocation Package Data Science job openings:
SW & Data Architect - Enterprise Software & Data Architecture

SW & Data Architect - Enterprise Software & Data Architecture

Peraton

Herndon, VA • On-site

$65.50 - $84.25/hr

Full-time

Re-posted 23 hours ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services


Job description

Job Summary:
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. They are seeking a SW & Data Architect to define enterprise software architecture standards and data governance frameworks for the National Airspace System, contributing to the modernization of air traffic management systems.
Responsibilities:
• Define enterprise ICD templates, authoring standards, and interface registry governance
• Establish CI/CD pipeline reference architecture - build, test, security scan, deployment stages
• Enforce DO-178C software safety compliance for safety-critical NAS systems
• Define cloud reference architecture for BNATCS - AWS GovCloud/Azure Government patterns
• Produce architecture baselines, ADRs, and software architecture artifacts for current active applicable NEEDS package systems
• Coordinate DevSecOps pipeline standards with security gates (SAST/DAST)
• Define enterprise data governance policy framework - data ownership, stewardship, quality standards, lifecycle management
• Develop canonical data models (conceptual, logical, physical) and enforce naming conventions across domain teams
• Design data integration patterns (ETL/ELT, streaming, event-driven) for cross-package data flows
• Enforce aviation data exchange format compliance (SWIM, FIXM, AIXM) across domain teams
• Produce data architecture artifacts for current active applicable NEEDS package systems - data dictionaries, metadata catalogs, data flow diagrams
• Support procurement trade studies with software and data architecture evaluation criteria
Qualifications:
Required:
• BS/MS in Computer Science, Software Engineering, Data Science, or related field
• Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.
• US Citizenship and the ability to obtain/maintain a public trust clearance.
• Proficiency in distributed systems, microservices, API design, and cloud-native patterns
• Experience with DevSecOps, CI/CD pipelines, and container orchestration (Docker/Kubernetes)
• Knowledge of DO-178C software safety standards preferred
• Experience with data modeling tools and methodologies (ERwin, Sparx EA, or equivalent)
• Experience with data governance frameworks and master data management
• Knowledge of cloud data architecture patterns (AWS GovCloud, Azure Government)
• Experience with ICD authoring and interface management for complex systems
• FAA or DoD software/data architecture experience preferred
Preferred:
• Experience architecting software for real-time systems, low-latency processing, or high-availability environments
• Background in data architecture and data integration - ETL/ELT pipelines, data lakes, streaming analytics - within an integration context
• Familiarity with network and transport layer considerations (SD-WAN, secure transport) that affect distributed software system design
• Experience with AIOps, observability platforms (Splunk, Datadog, ELK, Prometheus/Grafana), and application performance management (APM)
• Hands-on experience with model-based systems engineering (MBSE) or architecture modeling tools (Cameo, Sparx EA, Archi)
• ITIL certification and experience aligning software delivery with ITSM processes
• Relevant certifications such as Certified Software Architecture Professional (CSAP)
Company:
Peraton Fearlessly solving the toughest national security challenges. Founded in 1992, the company is headquartered in Woodbridge, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017