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Contract Google Data Science Jobs in Virginia (NOW HIRING)

PTR Global

Senior Data Science Analyst

Richmond, VA · On-site

$57 - $61/hr

Position: Senior Data Science Analyst Location: Richmond, VA (1 week in office, 1 week remote ... Cloud platform experience (AWS, Azure, or Google Cloud Platform). * Experience influencing ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Wilcore Technologies

Data Scientist II

Stafford, VA · On-site

... once the contract is secured. Skills and Qualifications: - Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field - Proven experience in data analysis ...

SteerBridge

Senior Data Scientist

Vienna, VA

$160K - $180K/yr

Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Merrifield, VA(Hybrid) Duration: 12 Months Contract Responsibilities: * Advanced skill in ... Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Deloitte

AI and Data Science Engineer III

Rosslyn, VA · On-site

$130K - $156K/yr

As an AI and Data Science Engineer III, you will serve as a technical leader supporting advanced ... Google Cloud Platform (GCP) * Active Top Secret security clearance * Ability to travel 30%, on ...

SteerBridge

Senior Data Scientist

Vienna, VA

Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D),developingandmaintaining shared capabilities, strengthening ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

Altus Consulting Corp

Data Scientist

Herndon, VA

Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

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Showing results 21-40

All JobsContract Google Data Science JobsContract Google Data Science Jobs in Virginia

Contract Google Data Science information

What is the difference between Contract Google Data Science vs Contract Data Analyst?

AspectContract Google Data ScienceContract Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related field; experience with machine learning and programming languages like Python or RBachelor's in Statistics, Data Analysis, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentProject-based, often in tech or digital companies, with focus on predictive modeling and data-driven solutionsBusiness or marketing environments, focusing on reporting, data cleaning, and descriptive analysis
Employer & Industry UsageTech giants, consulting firms, and startups hiring for data science projectsRetail, finance, healthcare, and other industries requiring data reporting and insights

Contract Google Data Science roles typically involve advanced analytics, machine learning, and programming, whereas Contract Data Analyst positions focus on data reporting, cleaning, and visualization. Both roles require strong analytical skills but differ in technical complexity and project scope.

What are the most commonly searched types of Google Data Science jobs in Virginia? The most popular types of Google Data Science jobs in Virginia are:
What are popular job titles related to Contract Google Data Science jobs in Virginia? For Contract Google Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Contract Google Data Science jobs in Virginia look for? The top searched job categories for Contract Google Data Science jobs in Virginia are:
What cities in Virginia are hiring for Contract Google Data Science jobs? Cities in Virginia with the most Contract Google Data Science job openings:
Contract Google Data Science jobs near you

Senior Data Science Analyst

PTR Global

Richmond, VA • On-site

$57 - $61/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Position: Senior Data Science Analyst
Location: Richmond, VA (1 week in office, 1 week remote)
Duration: 12 months
Job ID: 178683
Job Overview:
The Senior Data Science Analyst will play a critical role in designing, building, and optimizing scalable, reliable data pipelines at an enterprise level. This position requires hands-on expertise in data engineering, technical leadership, and a deep understanding of data warehousing, ETL/ELT processes, and advanced analytics. The role involves collaborating with cross-functional teams to ensure high-quality data solutions that meet business needs while adhering to best practices in data governance, security, and performance.
Responsibilities:
  • Design and implement end-to-end data pipelines and ETL/ELT solutions to support analytics, reporting, and AI/ML use cases.
  • Develop scalable patterns for batch and incremental processing, focusing on hands-on coding and troubleshooting.
  • Optimize data modeling, transformation logic, and performance strategies.
  • Evaluate and integrate tools, frameworks, and platform capabilities to meet project requirements.
  • Build and maintain high-volume data pipelines using SQL-centric ETL/ELT patterns.
  • Design and implement scalable streaming pipelines for real-time data processing.
  • Ensure data pipelines are resilient, observable, and production-ready with robust error handling and monitoring.
  • Implement standards for data quality checks, validation, and reconciliation.
  • Collaborate with governance and DataOps teams on metadata, lineage, and auditability.
  • Proactively identify opportunities for reliability, performance, and cost optimization.
  • Support production troubleshooting and root cause analysis.
  • Participate in design and code reviews to enforce quality and best practices.
  • Translate ambiguous requirements into well-designed technical solutions.

Qualifications:
  • 5 to 7+ years of Data Engineering experience.
  • Advanced expertise in SQL, ELT patterns, and performance tuning.
  • Strong experience with Oracle Exadata, Snowflake, or similar data warehouses.
  • Hands-on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica).
  • Deep understanding of data warehousing architecture and dimensional modeling.
  • Strong scripting experience (Python, shell).
  • Experience with data virtualization tools (e.g., Denodo, Composite, Dremio, Starburst).
  • Experience with DataOps practices, CI/CD, and observability.
  • Ability to work independently and deliver under pressure.
  • Bachelor's degree or higher in Computer Science, Information Systems, or Mathematics.
Preferred Qualifications:
  • Experience supporting AI/ML or advanced analytics pipelines.
  • Cloud platform experience (AWS, Azure, or Google Cloud Platform).
  • Experience influencing enterprise data standards or reference architecture.
  • Experience optimizing cost and performance in cloud data warehouses.
  • Hands-on experience with Cribl, Apache Kafka, Kafka Connect, Spark Streaming, or Apache Flink.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
  • Pay any fee to be considered for, submitted to, or selected for any opportunity.
  • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
  • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $57 - $61/hr. W2
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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