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Xgboost Jobs (NOW HIRING)

... XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting. • Analyze and interpret results with some complexity. • Exercise limited judgment and discretion within defined ...

Sklearn, XGBoost, LightGBM. * Mandarin Chinese fluency (the company operates a bilingual EN/CN working environment; this is a hard requirement). * Based in or willing to relocate to the Greater ...

Utilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, XGBoost, neural networks, NLP, k-means clustering, ARIMA ...

Sklearn, XGBoost, LightGBM. * Mandarin Chinese fluency (the company operates a bilingual EN/CN working environment; this is a hard requirement). * Based in or willing to relocate to the Greater ...

Utilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, XGBoost, neural networks, NLP, k-means clustering, ARIMA ...

AI/ML Technical Lead

Lynnwood, WA · On-site

$130K - $155K/yr

Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks. * Experience developing and deploying production machine learning models. * Strong knowledge of algorithms ...

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost, Deep Neural Networks (CNN and RNN), clustering, and recommendation systems, with expertise in model ...

... XGBoost, neural networks, NLP, and clustering Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop Familiarity with project management tools such as Azure Dev Ops (ADO ...

AI ML Very strong proficiency in Python Proven expertise in NLP, including Text classification Clustering Python ML NumPy, Pandas, Scikitlearn, XGBoost spaCy, Hugging Face Transformers, NLTK ...

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch. * Strong knowledge of statistics experimental design and causal inference. * Handson experience with data visualization tools ...

Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow, XGBoost) to achieve key business goals around data quality and accuracy * Develop pipelines and automated processes to ...

Showing results 21-40

Xgboost information

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$11

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How much do xgboost jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for xgboost in the United States is $36.26, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $39.66 per hour, depending on experience, location, and employer.

What is XGBoost?

XGBoost stands for eXtreme Gradient Boosting and is an open-source machine learning library that provides an efficient and scalable implementation of gradient boosting algorithms. It is commonly used for supervised learning tasks, such as classification and regression, due to its high performance, speed, and ability to handle missing values. XGBoost supports parallel processing, regularization to prevent overfitting, and can be used with various programming languages like Python, R, and Julia. Its popularity stems from its success in many machine learning competitions and real-world applications.

What types of projects or datasets do professionals commonly work with when using XGBoost in a machine learning role?

Professionals using XGBoost often tackle projects involving structured data, such as customer analytics, credit scoring, fraud detection, and sales forecasting. XGBoost is particularly valued for its speed and accuracy with large tabular datasets, making it a popular choice in finance, healthcare, and e-commerce. On a daily basis, you may collaborate with data engineers to preprocess data, work with data scientists to tune hyperparameters, and communicate findings to business stakeholders. The role typically involves iterating on feature engineering, model evaluation, and integrating models into production pipelines.

What are the key skills and qualifications needed to thrive as a machine learning engineer specializing in XGBoost, and why are they important?

To thrive as a Machine Learning Engineer specializing in XGBoost, you need a strong background in statistics, data analysis, and programming (especially Python), often supported by a degree in computer science or a related field. Proficiency with XGBoost, data preprocessing libraries (like pandas and NumPy), and experience with machine learning platforms such as scikit-learn or TensorFlow are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for interpreting results and collaborating with stakeholders. These skills ensure accurate model development, efficient implementation, and impactful business outcomes from machine learning projects.

What is the difference between Xgboost vs Data Scientist?

AspectXgboostData Scientist
Primary RoleDeveloping and tuning machine learning models, especially gradient boosting algorithmsAnalyzing data, building models, and deriving insights across various techniques
Required SkillsProgramming (Python, R), machine learning, data preprocessingStatistics, programming, data visualization, machine learning
Work EnvironmentData science teams, machine learning projects, software developmentResearch, data analysis, cross-functional collaboration

While Xgboost is a specific machine learning algorithm used within data science projects, a Data Scientist encompasses a broader role involving data analysis, modeling, and insights. Xgboost is a tool often employed by Data Scientists to improve predictive performance, but the Data Scientist's responsibilities extend beyond just implementing algorithms.

More about Xgboost jobs
Infographic showing various Xgboost job openings in the United States as of September 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $75,411 per year, or $36.3 per hour.

Mid-Level Data Scientist

Merrifield, VA • On-site

System One
Business Consulting Services • 5 - 10K employees

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

Job Title: Mid-Level Data Scientist
Location: Vienna, VA
Type: Contract
Compensation:
Hybrid – onsite and remote

Responsibilities
• Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings.
• Partner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges.
• Write efficient code in Python and SQL to manipulate and analyze data.
• Design, develop, and evaluate predictive models and algorithms with moderate to high complexity.
• Utilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting.
• Analyze and interpret results with some complexity.
• Exercise limited judgment and discretion within defined procedures and practices.
• Develop and code modeling programs, algorithms, and automated processes.
• Use modeling and trend analysis to analyze data.
• Collaborate with team members and participate in team projects and initiatives.
• Utilize effective written and verbal communication to document and present findings.

Requirements
• 3-7 years of experience (mid-level) in data science, statistics, and data analytics.
• Ability to work with moderate to minimal supervision.
• Strong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis.
• Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering.
• Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop.
• Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus.
• Technical writing skills.
• Strong communication and data storytelling presentation skills of technical material.
• Ability to collaborate and build relationships.
• Required: Bachelor’s degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields.
• Desired: Master’s degree in data science, statistics, mathematics, or degrees in similar quantitative fields.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US