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Hourly Google Data Science Jobs in Raleigh, NC (NOW HIRING)

Software Engineer, Google Cloud Storage

Raleigh, NC ยท On-site

$58.25 - $75.75/hr

Master's degree or PhD in Computer Science or related technical field. * Experience with systematic ... Google is bringing our cloud anywhere with Google Distributed Cloud (GDC) in your data center, at ...

Currently enrolled in a bachelor's or master's degree program in computer science, data science, or ... The hourly rate is determined by things such as the successful applicant's qualifications ...

Smart NIC Software Engineer, Embedded

Raleigh, NC ยท On-site

$127K - $168K/yr

Master's degree or PhD in Computer Science or a related technical field. About the job Google ... We design and build innovative and efficient data center networks and end-host networking stacks.

Smart NIC Senior Software Engineer, Embedded

Raleigh, NC ยท On-site

$120K - $158K/yr

Master's degree or PhD in Computer Science or a related technical field. About the job Google ... We design and build efficient data center networks and end-host networking stacks. We have a rare ...

New

Associate

Apex, NC ยท On-site

$70K - $75K/yr

The Associate, Data Science will perform data analysis of Clever Devices customers related to specific products (Clever Reports and R+) specifically as they relate to transportation operations ...

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Hourly Google Data Science information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do hourly google data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for hourly google data science in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is the hourly rate for a data scientist?

The hourly rate for a data scientist varies based on experience, location, and industry, but typically ranges from $30 to $100 per hour. Entry-level data scientists may earn closer to the lower end, while experienced professionals with specialized skills in machine learning and data analysis tools can command higher rates.

What are the typical daily responsibilities of an Hourly Google Data Science role?

As an Hourly Google Data Science professional, you can expect to work on data cleaning, exploratory data analysis, and supporting ongoing projects with statistical insights. Your day may involve collaborating with product managers and engineers to define metrics, analyze user behavior, and present findings through clear visualizations. Because the role is hourly, tasks are often project-based with a strong emphasis on timely deliverables and adapting to shifting priorities. Collaboration tools and regular check-ins help ensure alignment with the team and project goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as an Hourly Google Data Scientist, and why are they important?

To thrive as an Hourly Google Data Scientist, you generally need strong analytical skills, a background in statistics or computer science, and experience with data modeling and analysis. Familiarity with programming languages like Python or R, as well as tools such as SQL, TensorFlow, and Google Cloud Platform, is typically required. Exceptional problem-solving abilities, communication skills, and a collaborative mindset help individuals stand out in this role. These skills are crucial for extracting actionable insights from data, effectively presenting findings, and driving impactful decisions within Google's fast-paced environment.

How much does Google pay a data scientist?

Google data scientists typically earn an average salary ranging from $120,000 to $170,000 per year, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in machine learning, programming, and data analysis tools.

What is an Hourly Google Data Science job?

An Hourly Google Data Science job refers to a data science role at Google where an individual is compensated based on the number of hours worked, rather than receiving a fixed annual salary. These positions may be contract-based, freelance, or part of a temporary staffing arrangement. Hourly data scientists at Google typically analyze large datasets, build predictive models, and help inform business decisions using statistical and machine learning techniques. This role requires strong analytical skills, programming expertise, and familiarity with tools such as Python, R, and SQL. It can be a good option for those seeking flexible work arrangements or project-based employment.
What are popular job titles related to Hourly Google Data Science jobs in Raleigh, NC? For Hourly Google Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Hourly Google Data Science jobs in Raleigh, NC look for? The top searched job categories for Hourly Google Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Hourly Google Data Science jobs? Cities near Raleigh, NC with the most Hourly Google Data Science job openings:
Senior Manager of Data Science

Senior Manager of Data Science

Kforce Technology Staffing

Raleigh, NC โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Manager of Data Science in Raleigh, NC.
Key Responsibilities:
Scope & Impact:
* Set the vision and strategic priorities, acting as a recognized expert for Data Science
* Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group
* Drive applied research with a clear path to production, explicitly balancing innovation against real-world constraints including latency, cost, and reliability
* Build and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impact
* Champion hands-on rapid prototyping and iteration
* Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization
* Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains
Technical & Product Leadership:
* Collaborate closely with other Data Science teams, to define and execute the AI roadmap across the content lifecycle, maximizing reuse in areas including: Content collection (e.g. -web scraping-) and transformation; Metadata extraction, enrichment, and classification; Agentic workflows turning real-world events and legal content into legal intelligence; AI-powered downstream product capabilities
* Design and deploy scalable, production-grade AI systems, including: LLM-powered document understanding and generation; Agentic workflows balancing agent autonomy and efficiency with required structure and accuracy; Retrieval-augmented generation (RAG) pipelines; Hybrid ML + rules-based systems for structured content
* Lead through execution and by example: Actively writing code, not just delegating
REQUIREMENTS:
* Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience
* Bachelor's degree in a relevant field with significant applied experience in data science, machine learning, or AI
* 8+ years of relevant experience in data science, machine learning, or applied AI
* 4+ years of leadership experience (direct or indirect team management)
* Cloud infrastructure experience on AWS (preferred), Azure, or Google Cloud Platform
* Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture, CI/CD, RESTful API Design and model serving tools
* Familiarity with AI Coding Tools (e.g. GitHub CoPilot, Claude Code, OpenAI Codex)
* Proficient with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow, PyTorch) and prompt tuning techniques
Preferred Background:
* Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience
* 8+ years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems
* Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable
* Familiarity with ethical/legal considerations in deploying generative AI in professional settings
Success in this role requires:
* Leading through both technical expertise and organizational influence
* Acting as a change agent, embedding best practices into workflows and systems
* Driving both team development and strategic outcomes across a broad scope
* Ability to select the right tools and technologies to solve business problems
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.