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Data Scientist Contract Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Durham, NC · On-site

$90 - $130/hr

Support the enforcement of data contracts between source systems and the warehouse * Assist in ... Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent ...

New

Contracts Manager

Morrisville, NC

$83K - $111K/yr

... data quality, and support scalable contract operations. Required Experience & Education: * Bachelor's degree in business administration, law, legal studies, political science, procurement, finance ...

Contracts Manager

Morrisville, NC · On-site

$80 - $100/hr

... data quality, and support scalable contract operations. Required Experience & Education: * Bachelor's degree in business administration, law, legal studies, political science, procurement, finance ...

Principal Data Analyst

Raleigh, NC · On-site

$126 - $180/hr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat ...

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat ...

Pace ® Life Sciences delivers a comprehensive suite of contract CMC development, CTM manufacturing ... The Principal Scientist serves as the technical authority for NMR instrumentation and data ...

Analyze data, interpret results, and troubleshoot analytical issues to resolve problems and improve ... Job Type & Location This is a Contract position based out of Durham, NC. Pay and Benefits The pay ...

Engineering Lead, Communications

Raleigh, NC · On-site

$99K - $131K/yr

Hybrid 2 days onsite in Raleigh Type: 3-6 month contract to hire Job Details: * This Lead will ... They want Software Engineering candidates who are moving into Data Science * Wants people who have ...

Showing results 21-40

Data Scientist Contract information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do data scientist contract jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data scientist contract 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 a data scientist contract?

Data Scientist contract jobs are temporary positions where professionals analyze and interpret complex data to help organizations make informed decisions. Unlike full-time roles, contract data scientists are hired for a specific period, often to work on particular projects or to provide specialized expertise. These contracts can range from a few months to a year or more, and may be offered through staffing agencies, consultancies, or directly by companies. Contract roles offer flexibility and exposure to diverse industries, but typically do not include employee benefits such as health insurance or paid time off.

What does a contract data scientist do?

As a contract data scientist, your job is to provide independent support to a client for a freelance project or assignment. In this role, you may analyze a database to obtain useful information, use statistics to interpret the results, help identify trends within the industry, and make recommendations about the best course of action. Contract data scientists often help analyze historical data, build or refine templates and dashboards, assist full-time employees, and use predictive modeling to evaluate future company needs. The length of each contract varies, but it's possible to work with the same company for a year or more.

What are the key skills and qualifications needed to thrive as a contract data scientist, and why are they important?

To thrive as a Data Scientist Contract, you need a strong background in statistics, data analysis, and programming, usually supported by a degree in a quantitative field. Proficiency with tools such as Python, R, SQL, machine learning libraries, and data visualization platforms is typically required, along with knowledge of cloud-based data environments. Excellent problem-solving abilities, adaptability, and strong communication skills help you translate complex data findings into actionable business insights. These skills ensure that contract data scientists can quickly deliver high-impact solutions and integrate seamlessly into diverse project teams.

What are some common challenges faced by data scientists working on a contract basis, and how can they be addressed?

Contract data scientists often face challenges such as quickly adapting to new teams and workflows, managing varying project scopes, and ensuring clear communication with stakeholders who may not have technical backgrounds. To address these, it's important to establish clear objectives and deliverables at the outset, maintain proactive communication, and document work thoroughly. Building strong relationships with both technical and non-technical team members can also help ensure project success and smooth collaboration.

What is the difference between Data Scientist Contract vs Data Analyst Contract?

AspectData Scientist ContractData Analyst Contract
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, government agencies

Data Scientist Contract roles focus on advanced analytics and machine learning, requiring higher-level skills and credentials. Data Analyst Contract positions involve data reporting and visualization, often with less emphasis on predictive modeling. Both roles are common in various industries, but they differ in complexity and scope.

What are the most commonly searched types of Data Scientist jobs in Raleigh, NC?

The most popular types of Data Scientist jobs in Raleigh, NC are:

What are popular job titles related to Data Scientist Contract jobs in Raleigh, NC?

For Data Scientist Contract jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Scientist Contract jobs in Raleigh, NC look for?

The top searched job categories for Data Scientist Contract jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Scientist Contract jobs?

Cities near Raleigh, NC with the most Data Scientist Contract job openings:

Infographic showing various Data Scientist Contract job openings in Raleigh, NC as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

$90 - $130/hr

Other

Posted yesterday

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Job description

About Sennos

Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and control for the Fluid, Fermentation, and Bio-manufacturing industries. With a revolutionary integration of hardware, software, and real-time multi-parametric data, we have quietly built the world’s most advanced sensing system and largest AI-powered fermentation data warehouse. By owning the entire stack—from sensing hardware to data infrastructure—we have delivered a breakthrough solution that reveals complex biological and chemical interactions, predicts precision outcomes, and enables next‑generation production control.

Sennos is a rapidly growing start‑up looking for someone who can quickly adapt to a changing environment and who has the desire to grow with us!

Position Summary

The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos' modern data platform. This role focuses on building and maintaining data pipelines, implementing transformations, and contributing to a reliable Snowflake‑based warehouse that powers analytics, reporting, machine learning, and product capabilities.

Working closely with senior data engineering leadership, data architecture, analytics engineering, and product teams, this role combines hands‑on technical execution with growing exposure to data modeling, quality enforcement, and scalable platform development.

Responsibilities
  • Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership
  • Develop and maintain transformations using dbt or similar tools within a Snowflake-based warehouse
  • Create and optimize datasets and views to support analytics, reporting, machine learning, and product feature development
  • Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and consistency
  • Implement and maintain data quality checks, validation rules, and testing processes to ensure reliability and trust in warehouse data
  • Support the enforcement of data contracts between source systems and the warehouse
  • Assist in reverse ETL workflows to operationalize warehouse data into downstream systems
  • Contribute to ML data preparation and feature pipeline workflows
  • Collaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teams
  • Contribute to documentation, governance practices, and continuous improvement of data engineering standards
Required Qualifications

Education:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent years of professional experience)

Experience:

  • 2–4 years of experience in data engineering or a related data-focused role
  • Experience working with ETL/ELT processes and structured warehouse data
  • Exposure to cloud-based data platforms (AWS preferred)

Skills:

  • Strong SQL skills (joins, window functions, and query optimization fundamentals)
  • Proficiency in Python for data processing, scripting, or automation
  • Familiarity with version control systems (e.g., Git)
  • Strong attention to detail and commitment to data accuracy
  • Ability to troubleshoot and debug data workflows effectively
  • Strong written and verbal communication skills
  • Ability to collaborate across technical and non-technical teams
Preferred Qualifications
  • Experience working with Snowflake or similar cloud data warehouses
  • Exposure to dbt or similar transformation frameworks
  • Introductory experience with dimensional modeling concepts
  • Experience implementing data quality tests or validation frameworks
  • Exposure to data contracts or schema management practices
  • Familiarity with reverse ETL concepts
  • Passing experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar)
  • Familiarity with CI/CD practices for data workflows
  • Experience using AI-assisted tools to support debugging, pipeline development, or data engineering workflows
  • Exposure to BI tools (e.g., Power BI, Tableau, Looker)
Team Working Style
  • Collaborative and supportive, with strong mentorship from senior data engineering leadership
  • Focused on building durable foundations while moving quickly to meet evolving needs
  • Values curiosity, precision, and continuous skill development
Physical Requirements and Work Environment
  • Ability to sit for extended periods while working at a computer
  • Office setting with remote/hybrid flexibility
  • Minimal travel required (occasional team meetings or company events)

This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs.

Our company is currently active in 17 states (AZ, GA, ID, IL, FL, MA, ME, MI, MO, NC, NY, PA, TN, TX, OR, VA, and WA), and we prefer candidates located in one of these states for remote positions.

Sennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Please Note

Applicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Recruitment Agency Notice

We do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.

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