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

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 ...

Peter Millar LLC

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

The Senior Data Scientist expands Peter Millar's data science capacity beyond customer analytics, owning forecasting, merchandising, and operations modeling. Operating at the intersection of applied ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

S. Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to ...

Epic Games

Senior Data Scientist

Cary, NC · On-site

The Senior Data Scientist will work in a cross-functional team environment under the direction of ... Build, maintain, analyze, and leverage time series forecasting methods to anticipate ecosystem ...

Cisco

Applied AI Scientist

Cary, NC

Collaborate with engineering, product, and data science teams to understand requirements ... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience ...

Cisco

Applied AI Scientist

Durham, NC

Collaborate with engineering, product, and data science teams to understand requirements ... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Experience with optimization, simulation, or advanced forecasting * Familiarity with modern data ...

CEI

Data Engineer (Databricks, AWS)

Raleigh, NC · On-site

$70/hr

... Science, and Business Stakeholders to deliver high-quality, scalable data products that enable sales insights, targeting, forecasting, incentive compensation, and field performance reporting. Key ...

Redhat

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

... forecasting models for event-based user adoption prediction. * Manage CI/CD pipelines using Git and ... Lead the deployment and maintenance of containerized data science models and enterprise ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

Computer Science, Information Systems, Data Science, or related field Preferred Area of Experience:Machine learning operations, data science collaboration Required Licenses or Certifications:

First Citizens Bank

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

Computer Science, Information Systems, Data Science, or related field Preferred Area of Experience:Machine learning operations, data science collaboration Required Licenses or Certifications:

Segment (Twilio)

Senior AI FinOps Data Analyst

Raleigh, NC · On-site

$88.51 - $141.63/hr

Track, evaluate, and forecast cross-environment financial trends driven specifically by AI platform ... Bachelor's degree in Information Technology, Data Analytics, Computer Science, or a related field ...

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All JobsData Scientist Forecasting JobsData Scientist Forecasting Jobs in Raleigh, NC

Data Scientist Forecasting information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do data scientist forecasting jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data scientist forecasting 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 forecasting?

A Data Scientist Forecasting job focuses on analyzing historical data to build predictive models that forecast future trends, demands, or outcomes. This role involves working with statistical modeling, machine learning, and time series analysis to generate actionable insights. Data Scientist Forecasters commonly work in industries like finance, retail, supply chain, and marketing to improve decision-making. Strong programming skills in Python or R, proficiency with data visualization, and knowledge of forecasting techniques are essential for this role.

What are typical daily tasks for a data scientist forecasting?

As a Data Scientist specializing in forecasting, your daily tasks often include collecting and preprocessing time series data, building and testing predictive models, and analyzing trends to improve forecast accuracy. You will collaborate with cross-functional teams, such as business analysts and product managers, to understand forecasting needs and present your findings clearly to stakeholders. Regularly, you'll also monitor model performance, experiment with new algorithms or features, and refine existing solutions based on business feedback and emerging data. This dynamic role offers a blend of independent analytical work and teamwork, making each day both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the data scientist forecasting position, and why are they important?

To thrive as a Data Scientist Forecasting, you need a robust background in statistics, time series analysis, and predictive modeling, usually backed by a degree in a quantitative field. Expertise with programming languages like Python or R, experience with machine learning libraries, and familiarity with forecasting tools such as Prophet or ARIMA are typically expected, along with relevant certifications. Strong problem-solving abilities, communication skills, and an analytical mindset help distinguish exceptional candidates. These skills are essential to translating complex data into actionable business insights and accurate forecasts that drive organizational decision-making.

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

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

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

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

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

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

Data Scientist Forecasting jobs near you
Infographic showing various Data Scientist Forecasting job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Data Scientist

Jobtailor

Raleigh, NC • On-site

$110 - $170/hr

Other

Posted 19 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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