DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc. LangChain & LangGraph: Hands-on experience building, deploying, and maintaining ...
DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc. LangChain & LangGraph: Hands-on experience building, deploying, and maintaining ...
Staff Research Scientist (AdTech/Recommendation Systems)
San Mateo, CA · On-site +1
$200K - $300K/yr
Traditional ML - XGBoost, PCA. * Big Data / Infra - Spark, Hadoop, distributed training systems. * Cloud Platforms - AWS, GCP, or Azure. * Bonus - C++. Who You Are * Experienced ML Researcher ...
Staff Research Scientist (AdTech/Recommendation Systems)
San Mateo, CA · On-site +1
$200K - $300K/yr
Traditional ML - XGBoost, PCA. * Big Data / Infra - Spark, Hadoop, distributed training systems. * Cloud Platforms - AWS, GCP, or Azure. * Bonus - C++. Who You Are * Experienced ML Researcher ...
DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc. LangChain & LangGraph: Hands-on experience building, deploying, and maintaining ...
DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc. LangChain & LangGraph: Hands-on experience building, deploying, and maintaining ...
Senior Machine Learning Engineer
$107K - $146.90K/yr
... XGBoost. • Proven experience designing robust ML pipelines, leveraging tools like MLflow or equivalent. • Strong command of ML frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch). • ...
Senior Machine Learning Engineer
$107K - $146.90K/yr
... XGBoost. • Proven experience designing robust ML pipelines, leveraging tools like MLflow or equivalent. • Strong command of ML frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch). • ...
... as XGBoost, LightGBM, or CatBoost for tabular data problems. • Demonstrated ability to communicate model outputs and uncertainty ranges clearly to non-technical stakeholders, including CFOs and ...
... as XGBoost, LightGBM, or CatBoost for tabular data problems. • Demonstrated ability to communicate model outputs and uncertainty ranges clearly to non-technical stakeholders, including CFOs and ...
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Experience with cloud platforms and containerization (Docker, Kubernetes). Familiarity ...
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Experience with cloud platforms and containerization (Docker, Kubernetes). Familiarity ...
DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. * LangChain & LangGraph: Hands-on experience building, deploying, and maintaining ...
DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. * LangChain & LangGraph: Hands-on experience building, deploying, and maintaining ...
Familiarity with Python NLP frameworks and libraries such as scikit, NumPy, and XGBoost * Experience working with engineers on algorithm development, architecture planning, and development
Familiarity with Python NLP frameworks and libraries such as scikit, NumPy, and XGBoost * Experience working with engineers on algorithm development, architecture planning, and development
DS with GEN AI
Plano, TX · On-site
$14.25 - $18.50/hr
... XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph ...
DS with GEN AI
Plano, TX · On-site
$14.25 - $18.50/hr
... XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph ...
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)
New
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)
New
Senior ML Engineer
Indianapolis, IN · On-site
$99.90K - $137.20K/yr
Proficiency in Python, SQL , and ML frameworks (Scikit-Learn, XGBoost, TensorFlow). * Excellent communication skills for presenting insights to technical and business stakeholders. Preferred Skills
Senior ML Engineer
Indianapolis, IN · On-site
$99.90K - $137.20K/yr
Proficiency in Python, SQL , and ML frameworks (Scikit-Learn, XGBoost, TensorFlow). * Excellent communication skills for presenting insights to technical and business stakeholders. Preferred Skills
Data Scientist
Atlanta, GA · On-site
Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM. * Utilize cloud technologies (AWS, Azure, Hadoop) for ...
Data Scientist
Atlanta, GA · On-site
Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM. * Utilize cloud technologies (AWS, Azure, Hadoop) for ...
ML Ops Engineer
Concord, CA · On-site
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Experience with cloud platforms and containerization (Docker, Kubernetes). Familiarity ...
ML Ops Engineer
Concord, CA · On-site
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Experience with cloud platforms and containerization (Docker, Kubernetes). Familiarity ...
DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. * LangChain & LangGraph: Hands-on experience building, deploying, and maintaining ...
DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. * LangChain & LangGraph: Hands-on experience building, deploying, and maintaining ...
Machine Learning Engineer 3-7881
Philadelphia, PA · On-site +1
$115.50K - $138.70K/yr
TensorFlow, PyTorch, Scikit-learn, or XGBoost; using AWS services including SageMaker; modeling data using SQL; working with data warehouses and data access visualizations using API with Python ...
Machine Learning Engineer 3-7881
Philadelphia, PA · On-site +1
$115.50K - $138.70K/yr
TensorFlow, PyTorch, Scikit-learn, or XGBoost; using AWS services including SageMaker; modeling data using SQL; working with data warehouses and data access visualizations using API with Python ...
DS with GEN AI
$14.25 - $18.50/hr
... XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph ...
DS with GEN AI
$14.25 - $18.50/hr
... XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc. • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph ...
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)
New
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)
New
Data Science Manager
Pasadena, TX · On-site
Develop and deploy machine learning models using Python (pandas, scikit-learn, XGBoost, PyTorch/TensorFlow) and SQL, ensuring production-grade performance, scalability, and maintainability. * Build ...
New
Data Science Manager
Pasadena, TX · On-site
Develop and deploy machine learning models using Python (pandas, scikit-learn, XGBoost, PyTorch/TensorFlow) and SQL, ensuring production-grade performance, scalability, and maintainability. * Build ...
New
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)
Quick apply
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)
MLOPS Engineer
Concord, CA · On-site
Strong proficiency in Java and Python , SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes). * Hands ...
Quick apply
MLOPS Engineer
Concord, CA · On-site
Strong proficiency in Java and Python , SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes). * Hands ...
Xgboost information
See salary details
$11.30 - $16.85
1% of jobs
$16.85 - $22.40
12% of jobs
$26.02 is the 25th percentile. Wages below this are outliers.
$22.40 - $27.95
19% of jobs
$27.95 - $33.50
17% of jobs
The median wage is $33.79 / hr.
$33.50 - $39.05
31% of jobs
$39.05 - $44.60
7% of jobs
$44.60 - $50.15
6% of jobs
$50.15 - $55.70
1% of jobs
$55.70 - $61.25
4% of jobs
$61.25 - $66.81
2% of jobs
$66.81 - $72.36
0% of jobs
$11
$36
$72
How much do xgboost jobs pay per hour?
As of May 29, 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 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 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 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 is the difference between Xgboost vs Data Scientist?
| Aspect | Xgboost | Data Scientist |
|---|---|---|
| Primary Role | Developing and tuning machine learning models, especially gradient boosting algorithms | Analyzing data, building models, and deriving insights across various techniques |
| Required Skills | Programming (Python, R), machine learning, data preprocessing | Statistics, programming, data visualization, machine learning |
| Work Environment | Data science teams, machine learning projects, software development | Research, 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
What job categories do people searching Xgboost jobs look for? The top searched job categories for Xgboost jobs are:
Job description
Python Gen AI Developer- Multiple Roles Hourly Pay Rate: $30-35- /hr.- W2 Location: Dallas TX Onsite for all 5 days/week Onsite interview. Immediate start Job Description Hands on exp with Python, PySpark/spark, NoSQL (MongoDB), Data bricks, data lake, azure cloud Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design. DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc.
LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks. Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. LLM Fine tuning experience Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph. API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows. Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
About Tanisha Systems
Sourced by ZipRecruiter
Company size
1,001 - 5,000 Employees
Headquarters location
Iselin, NJ, US
Year founded
2002