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Day Shift Python Data Analyst Jobs in Smithfield, NC

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

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 ...

Data Quality Analyst Category: Testing/Quality Assurance Main location: United States, North ... You are invited to be an owner from day 1 as we work together to bring our Dream to life. That ...

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Languages: SQL (standard and DB-specific), Python, Scala, Bash * Framework: Apache Iceberg ... Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI. * Knowledge of CI ...

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Languages: SQL (standard and DB-specific), Python, Scala, Bash * Framework: Apache Iceberg ... Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI. * Knowledge of CI ...

Lead Data Engineer

Raleigh, NC

$111K - $133K/yr

Delivers end-to-end data and analytics solutions, including data ingestion, transformation ... Languages: SQL (standard and DB-specific), Python, Scala, Bash * Framework: Apache Iceberg ...

Responsibilities : • Identifies business trends and problems through complex big data analysis ... SQL, Python or R, preferably both. Company : PlanIT Group is an IT and engineering professional ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Experience programming with Python. * Experience working within Azure cloud environments.

Data Engineer

Raleigh, NC

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience programming with Python. * Experience working within Azure cloud environments.

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience programming with Python. * Experience working within Azure cloud environments.

Data Engineer

Raleigh, NC

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience programming with Python. * Experience working within Azure cloud environments.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

... in Python, R, or other relevant languages for data analysis. Company : LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate ...

... in Python, R, or other relevant languages for data analysis. Company : LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate ...

Showing results 41-60

Day Shift Python Data Analyst information

See Smithfield, NC salary details

$29.4K

$71.6K

$117.8K

How much do day shift python data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for day shift python data analyst in Smithfield, NC is $71,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,100.00 and $84,000.00 per year, depending on experience, location, and employer.

What job categories do people searching Day Shift Python Data Analyst jobs in Smithfield, NC look for?

The top searched job categories for Day Shift Python Data Analyst jobs in Smithfield, NC are:

What cities near Smithfield, NC are hiring for Day Shift Python Data Analyst jobs?

Cities near Smithfield, NC with the most Day Shift Python Data Analyst job openings:

Infographic showing various Day Shift Python Data Analyst job openings in Smithfield, NC as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $71,561 per year, or $34.4 per hour.

Data Scientist

Jobtailor

Raleigh, NC • On-site

$110 - $170/hr

Other

Posted 17 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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