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Weekend Data Science Jobs in Cary, NC (NOW HIRING)

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

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 ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Mentor team members and provide technical leadership in data science and AI. Requirements: * Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics ...

Pwc

AI & GenAI Data Scientist-Director

Raleigh, NC · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

Socket.dev

Sr. Data Scientist

Raleigh, NC · On-site

$133 - $160/hr

Must-haves * 2-4 years of experience in data science, analytics, or a related quantitative field * Bachelor's or master's education in STEM (science, technology, engineering, math) field * Experience ...

New

Pendo

Sr. Data Scientist

Raleigh, NC · On-site

Must-haves * 2-4 years of experience in data science, analytics, or a related quantitative field * Bachelor's or master's education in STEM (science, technology, engineering, math) field * Experience ...

Pendo

Sr. Data Scientist

Raleigh, NC · Hybrid

Must-haves * 2-4 years of experience in data science, analytics, or a related quantitative field * Bachelor's or master's education in STEM (science, technology, engineering, math) field * Experience ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$125K - $209K/yr

Mentor team members and provide technical leadership in data science and AI. Requirements: * Education: Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

Mentor team members and provide technical leadership in data science and AI. Requirements: * Education: Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$115K - $192K/yr

Mentor team members and provide technical leadership in data science and AI. Requirements: * Education: Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

SAS

Data Scientist (Emerging Careers)

Cary, NC · Hybrid

Master's degree in Computer Science, Engineering, Data Science or related quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or ...

SAS

Data Scientist (Emerging Careers)

Cary, NC · On-site

Master's degree in Computer Science, Engineering, Data Science or related quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or ...

Sas

Data Scientist (Emerging Careers)

Cary, NC · On-site

$100 - $140/hr

Master's degree in Computer Science, Engineering, Data Science or related quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or ...

Triwill Group

Sr. Data Scientist

Raleigh, NC · On-site

$133 - $160/hr

Must-haves * 2-4 years of experience in data science, analytics, or a related quantitative field * Bachelor's or master's education in STEM (science, technology, engineering, math) field * Experience ...

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Showing results 41-60

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Cary, NC

Weekend Data Science information

See Cary, NC salary details

$34.7K

$113.7K

$182K

How much do weekend data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for weekend data science in Cary, NC is $113,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $126,000.00 per year, depending on experience, location, and employer.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends if their projects or deadlines require it, but many roles follow a standard weekday schedule. Flexibility depends on the employer, project needs, and whether the position involves on-call or urgent tasks. Typically, data science roles are performed during regular business hours, but some positions may require weekend work for data collection, analysis, or reporting.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

What are the most commonly searched types of Data Science jobs in Cary, NC? The most popular types of Data Science jobs in Cary, NC are:
What are popular job titles related to Weekend Data Science jobs in Cary, NC? For Weekend Data Science jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Cary, NC look for? The top searched job categories for Weekend Data Science jobs in Cary, NC are:
What cities near Cary, NC are hiring for Weekend Data Science jobs? Cities near Cary, NC with the most Weekend Data Science job openings:
Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Cary, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,707 per year, or $54.7 per hour.

Data Scientist

Jobtailor

Raleigh, NC • On-site

$110 - $170/hr

Other

Posted 5 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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