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Temporary Data Scientist Machine Learning Jobs in Raleigh, NC

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

* Design and implement statistical and machine learning models for time-series forecasting, anomaly ... Data Science, or a related quantitative field. * 3+ years of experience (with Bachelor's), 2+ years ...

NextDeavor Inc.

Embedded Data Scientist

Morrisville, NC

$130K - $150K/yr

Embedded Data Scientist Full-time Morrisville, NC, US Exclusive confidential search -- details ... At least 2 years of experience with machine-learning frameworks such as TensorFlow and Keras * At ...

Compunnel

Data Scientist

Raleigh, NC · On-site

We are seeking a Senior Data Scientist to lead the design and validation of AI-driven product ... This role focuses on defining what to build and why, leveraging machine learning, NLP, and large ...

New

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

The Director, Data Sciences is responsible for leading a team of data scientists and developing ... Oversee advanced data analysis, modeling, and machine learning to develop predictive and ...

LexisNexis

Senior Data Scientist III

Raleigh, NC

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers ...

LexisNexis

Senior Data Scientist III

Raleigh, NC

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers ...

Korn Ferry

Director, Data Sciences

Raleigh, NC · On-site

The Director, Data Sciences is responsible for raising data-driven decision making within a ... Oversee advanced data analysis, modeling, and machine learning to develop predictive and ...

SAS

Data Scientist (Emerging Careers)

Cary, NC · Hybrid

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... Strong research background in computer vision or machine learning model development * Experience in ...

Sas

Data Scientist (Emerging Careers)

Cary, NC · On-site

$100 - $140/hr

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... Strong research background in computer vision or machine learning model development * Experience in ...

SoTalent

Senior Data Scientist

Raleigh, NC · On-site

They are seeking an experienced Senior Data Scientist to join their high-performing team in Raleigh ... Directing the development of machine learning models to address intricate business challenges.

SAS

Data Scientist (Emerging Careers)

Cary, NC · On-site

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... Strong research background in computer vision or machine learning model development * Experience in ...

Q2 India

Senior Data Scientist

Cary, NC · On-site

$140 - $200/hr

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Design and prototype machine learning models -- including pricing recommendation, deal win ...

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Showing results 21-40

All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Raleigh, NC

Temporary Data Scientist Machine Learning information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for temporary data scientist machine learning 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 does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

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

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

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Raleigh, NC?

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

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

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Temporary Data Scientist Machine Learning jobs?

Cities near Raleigh, NC with the most Temporary Data Scientist Machine Learning job openings:

Temporary Data Scientist Machine Learning jobs near you

Data Scientist

Jobtailor

Raleigh, NC • On-site

$110 - $170/hr

Other

Posted 15 days ago

Job description

  • Design and implement statistical and machine learning models for time-series forecasting, anomaly detection, and asset health scoring across utility networks.
  • Build and maintain end-to-end ML pipelines on Databricks from feature engineering and model training to validation, deployment, and monitoring in production.
  • Apply classical statistical methods (GLMs, GAMs, mixed-effects models, Bayesian inference) alongside modern ML techniques (ensemble approaches, network analysis, neural networks) to solve grid operations problems.
  • Develop predictive maintenance and degradation models for utility infrastructure using telemetry and SCADA data at scale.
  • Translate ambiguous business problems into well-defined modeling problems with appropriate statistical frameworks - e.g., knowing when a LM/GLM is sufficient and when gradient boosting or deep learning is warranted.
  • Implement model monitoring, drift detection, and automated retraining workflows to maintain model performance over time.
  • Contribute to load forecasting, demand response optimization, and outage prediction systems.
  • Ensure model interpretability and explainability for utility stakeholders and regulatory compliance.
  • Contribute to internal knowledge-sharing on statistical best practices.
Requirements
  • Bachelor’s degree or equivalent in Statistics, Applied Mathematics, Physics, Engineering, Data Science, or a related quantitative field.
  • 3+ years of experience (with Bachelor’s), 2+ years of experience (with Masters), or 1+ years (with PhD) in applied statistical modeling and machine learning, with a track record of deployed production models.
  • Strong programming skills in Python (PySpark, pandas, NumPy, scikit-learn, statsmodels, XGBoost), R (tidyverse, lme4, glmmTMB, glmnet, mgcv), and SQL for large-scale data analysis.
  • Experience with time-series modeling (ARIMA, state-space models, LSTM, Darts, or similar) on high-volume meter data.
  • Exposure to Databricks ML ecosystem (Feature Store, Experiment Track, Model Serving, Mosaic AI) and MLflow.
  • Familiarity with distributed computing concepts - PySpark, Optuna/Ray, Spark SQL, partitioning strategies, and medallion architecture.
  • Understanding of software engineering principles - version control (Git), testing, CI/CD for ML systems.
  • Ability to communicate complex statistical/ML concepts to non-technical stakeholders.
Core Competencies

Demonstrates expertise in statistical modeling and machine learning for time-series forecasting and anomaly detection, with a strong focus on building and maintaining ML pipelines and ensuring model performance and interpretability. Proficient in translating business problems into statistical frameworks and communicating complex concepts to stakeholders.

Highest-signal resume keywords
  • Statistical Modeling
  • Machine Learning
  • Python Programming
  • Time-Series Modeling
  • Databricks ML Ecosystem
ATS Optimization KeywordsHard Skills
  • Statistical Methods
  • Machine Learning Techniques
  • Feature Engineering
  • Model Training
  • Model Validation
  • Model Deployment
  • Model Monitoring
  • Anomaly Detection
  • Predictive Maintenance
  • Data Analysis
Soft Skills
  • Communication
  • Problem-Solving
Industry Keywords
  • Utility Networks
  • Telemetry Data
  • SCADA Data
  • Regulatory Compliance
  • Grid Operations
Tools & Technologies
  • Databricks
  • PySpark
  • SQL
  • MLflow
  • Git
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