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Independent Contractor Data Science Jobs in Oregon

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to ... a chance to complete projects independently. What You'll Do: * Execute on the design ...

OR ยท On-site

$160K - $180K/yr

The Data Science team works with feature-rich, high-volume clinical datasets and collaborates cross ... Demonstrated ability to work independently, exercise good judgment, prioritize multiple projects ...

Senior Data Scientist must have knowledge of and access to program datasets and broader information ... science, engineering, or related field. EOE/M/F/ Disability/Vet VEVRAA Federal Contractor ...

This requires someone with depth in AI/ML/GenAI from a data science perspective, versatility to ... Conduct independent model validation of existing models for benchmarking, assessment, and gauging ...

... independent sub-contractors to provide accurate, impartial, and complete home and commercial property inspections. Our 1099 Field Inspectors are the frontline experts who assist and collect data for ...

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR ยท On-site +1

$121K - $167K/yr

Creating architecture and complex designs independently and documenting them * Integrate and test ... Master of Science degree in Data Science, Statistics, Computer Science, or similar quantitative ...

Participate in other data science teams collaborating with your peers to support their projects ... Ability to work independently as well as collaborate as a team with a sense of urgency.

This requires someone with depth in AI/ML/GenAI from a data science perspective, versatility to ... Conduct independent model validation of existing models for benchmarking, assessment, and gauging ...

Participate in other data science teams collaborating with your peers to support their projects ... Ability to work independently as well as collaborate as a team with a sense of urgency.

In this role, you will work within an exceptional team within a federal contracting environment to ... A self-starter comfortable working independently while also collaborating across multidisciplinary ...

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Independent Contractor Data Science information

What are some common challenges independent contractor data scientists face when working with multiple clients simultaneously?

Independent contractor data scientists often juggle projects with varying scopes, timelines, and client expectations. One common challenge is managing priorities and deliverables when different clients require attention at the same time. Additionally, contractors must quickly adapt to diverse data environments and tools, communicate effectively with stakeholders who may have different levels of technical expertise, and ensure data privacy and compliance across projects. Strong organizational skills and clear communication are key to successfully navigating these challenges.

What is the difference between Independent Contractor Data Science vs Data Scientist?

AspectIndependent Contractor Data ScienceData Scientist
CredentialsTypically requires a degree in data science, statistics, or related field; certifications like CAP, Microsoft Certified Data Scientist are commonUsually holds a degree in data science, statistics, or computer science; advanced certifications are a plus
Work EnvironmentFreelance, project-based, often remoteFull-time employment, office or remote
Employer & Industry UsageHired by multiple clients or companies on a contract basis; common in consulting and freelance platformsEmployed by a single organization; used across industries like tech, finance, healthcare

Independent Contractor Data Science professionals typically work on a project basis, often remotely, and serve multiple clients. Data Scientists are usually employed full-time by organizations, with a focus on ongoing data analysis and model development. Both roles require similar credentials but differ mainly in employment structure and work environment.

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

To thrive as an Independent Contractor Data Scientist, you need a strong grasp of statistical analysis, programming (commonly in Python or R), and a relevant educational background such as a degree in data science, statistics, or computer science. Mastery of tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is typically required. Exceptional communication, self-management, and problem-solving skills set successful contractors apart by enabling them to deliver results independently and communicate insights to clients. These skills ensure accurate analyses, effective project execution, and strong client relationships in a competitive, project-based environment.

What is an Independent Contractor Data Scientist?

An Independent Contractor Data Scientist is a professional who provides data analysis, modeling, and insights on a freelance or contract basis, rather than as a full-time employee. They work with organizations to solve data-related problems, build predictive models, and help drive business decisions using data. Independent contractors often manage their own schedules, clients, and projects, offering flexibility and the opportunity to work with a variety of industries. Their responsibilities may include data cleaning, statistical analysis, machine learning, and data visualization, tailored to the unique needs of each client.
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What cities in Oregon are hiring for Independent Contractor Data Science jobs? Cities in Oregon with the most Independent Contractor Data Science job openings:
Senior Data Scientist with Security Clearance

Senior Data Scientist with Security Clearance

SOSi

Astoria, OR โ€ข On-site

Other

Re-posted 19 days ago


Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities. Essential Job Duties: * The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
* The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
* The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
* The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
* The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
* The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Active TS/SCI Clearance.
* Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
* nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
* Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
* Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
* Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
* Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
* Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
* Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.
Preferred Qualifications: * Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.