AI ML Data Scientist
Cary, NC · On-site
ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data ... Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default ...
AI ML Data Scientist
Cary, NC · On-site
ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data ... Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default ...
Proven expertise building, training, evaluating, and deploying traditional ML models * Practical knowledge of Random Forest, XGBoost, and CatBoost (strongly preferred and currently in use)
Proven expertise building, training, evaluating, and deploying traditional ML models * Practical knowledge of Random Forest, XGBoost, and CatBoost (strongly preferred and currently in use)
... Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms ... ML workflows. • Experience in Model implementation, Governance, and monitoring. • ...
... Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms ... ML workflows. • Experience in Model implementation, Governance, and monitoring. • ...
Expert Software Engineer (Research & ML Model Development) with Security Clearance
Annapolis, MD · On-site
$202K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
Expert Software Engineer (Research & ML Model Development) with Security Clearance
Annapolis, MD · On-site
$202K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
... Random forest model and moving to transformers soon in feature development. Top Skills: * 5+ years of exp. in Machine Learning Engineer * Python exp. is a must. * Scala exp. is a must. * ML ...
... Random forest model and moving to transformers soon in feature development. Top Skills: * 5+ years of exp. in Machine Learning Engineer * Python exp. is a must. * Scala exp. is a must. * ML ...
... Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. • Proficiency in handling ...
... Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. • Proficiency in handling ...
Data Science Software Engineer with Security Clearance
Annapolis Junction, MD · On-site
$117K - $140K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
Data Science Software Engineer with Security Clearance
Annapolis Junction, MD · On-site
$117K - $140K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
Data Scientist
New York, NY · On-site
$173K - $175K/yr
Design, train, and implement ML/deep learning architectures. * Establish evaluation metrics ... Random Forest and Ensemble. * Distributed data warehouses or data lakes. * Cloud database.
Data Scientist
New York, NY · On-site
$173K - $175K/yr
Design, train, and implement ML/deep learning architectures. * Establish evaluation metrics ... Random Forest and Ensemble. * Distributed data warehouses or data lakes. * Cloud database.
... ML techniques (such as random forest and neural networks). • Experience in Estimation and Proposal creation • Experience in Machine Learning solutions (using various models, such as Linear ...
... ML techniques (such as random forest and neural networks). • Experience in Estimation and Proposal creation • Experience in Machine Learning solutions (using various models, such as Linear ...
Enterprise - Data Science Software Engineer - Python, ML, AI 7/2/2026 Laurel, MD
Laurel, MD · On-site
$117K - $140K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
Enterprise - Data Science Software Engineer - Python, ML, AI 7/2/2026 Laurel, MD
Laurel, MD · On-site
$117K - $140K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
... JEXL, SQL, JSON - Random Forest and ability to do feature development for Random Forest ... implementing ML systems - Experience with Spark - Agentic AI - Large Language Models (LLM ...
Quick apply
... JEXL, SQL, JSON - Random Forest and ability to do feature development for Random Forest ... implementing ML systems - Experience with Spark - Agentic AI - Large Language Models (LLM ...
Enterprise - Data Science Software Engineer - Python, ML, AI 06-04-2026 Laurel, MD Branch MD - SHA
Laurel, MD · On-site
$117K - $140K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
Enterprise - Data Science Software Engineer - Python, ML, AI 06-04-2026 Laurel, MD Branch MD - SHA
Laurel, MD · On-site
$117K - $140K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
... JEXL, SQL, JSON - Random Forest and ability to do feature development for Random Forest ... implementing ML systems - Experience with Spark - Agentic AI - Large Language Models (LLM ...
... JEXL, SQL, JSON - Random Forest and ability to do feature development for Random Forest ... implementing ML systems - Experience with Spark - Agentic AI - Large Language Models (LLM ...
Software Engineer 2 (IFS - 004)
Laurel, MD · On-site
$96K - $132K/yr
... JEXL, SQL, JSON - Random Forest and ability to do feature development for Random Forest ... implementing ML systems - Experience with Spark - Agentic AI - Large Language Models (LLM ...
Software Engineer 2 (IFS - 004)
Laurel, MD · On-site
$96K - $132K/yr
... JEXL, SQL, JSON - Random Forest and ability to do feature development for Random Forest ... implementing ML systems - Experience with Spark - Agentic AI - Large Language Models (LLM ...
... JEXL, SQL, JSON - Random Forest and ability to do feature development for Random Forest ... implementing ML systems - Experience with Spark - Agentic AI - Large Language Models (LLM ...
... JEXL, SQL, JSON - Random Forest and ability to do feature development for Random Forest ... implementing ML systems - Experience with Spark - Agentic AI - Large Language Models (LLM ...
Software Engineer II/III
Laurel, MD · On-site
$96K - $132K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Agentic AI * Large Language Models ...
Software Engineer II/III
Laurel, MD · On-site
$96K - $132K/yr
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Agentic AI * Large Language Models ...
Design and develop ML models ... Build and tune models using XGBoost, Random Forest, scikit learn, and related frameworks * Evaluate ...
Design and develop ML models ... Build and tune models using XGBoost, Random Forest, scikit learn, and related frameworks * Evaluate ...
... and ML techniques (such as random forest and neural networks). • Experience in Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Deep ...
... and ML techniques (such as random forest and neural networks). • Experience in Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Deep ...
Software Engineer
Laurel, MD · On-site
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
Software Engineer
Laurel, MD · On-site
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA)
Software Engineer
Laurel, MD · On-site
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Agentic AI * Large Language Models ...
Software Engineer
Laurel, MD · On-site
Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Agentic AI * Large Language Models ...
Random Forest Ml information
See salary details
$19.23 - $22.07
9% of jobs
$22.07 - $24.91
5% of jobs
$24.91 - $27.75
6% of jobs
$28.51 is the 25th percentile. Wages below this are outliers.
$27.75 - $30.59
18% of jobs
$30.59 - $33.44
11% of jobs
The median wage is $33.72 / hr.
$33.44 - $36.28
11% of jobs
$36.28 - $39.12
15% of jobs
$39.26 is the 75th percentile. Wages above this are outliers.
$39.12 - $41.96
11% of jobs
$41.96 - $44.80
4% of jobs
$44.80 - $47.64
3% of jobs
$47.64 - $50.48
7% of jobs
$19
$35
$50
How much do random forest ml jobs pay per hour?
As of Sep 9, 2026, the average hourly pay for random forest ml in the United States is $35.51, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $40.38 per hour, depending on experience, location, and employer.
Are Random Forest ML jobs in demand?
Random Forest machine learning jobs are in demand across industries such as finance, healthcare, and technology, as organizations seek to leverage predictive analytics and data-driven decision-making. These roles often require skills in Python, R, and data modeling, with demand driven by the growth of AI and data science fields.
What other helpful pages are available for Random Forest Ml?
Other pages related to Random Forest Ml:
AI ML Data Scientist
Cary, NC • On-site
ClifyX •
Recruiting and Staffing Services • 51 - 200 employees51 - 200 employees
Full-time
Re-posted 16 days ago
Job description
Job Summary:
ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus on implementing machine learning techniques to solve various business problems in the banking and financial services sector.
Responsibilities:
• Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Qualifications:
Required:
• Machine Learning techniques
• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations
• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm
• Time series - Exponential models, Holt-Winters, ETS, Hybrid
• ARIMA & GARCH
• Deep Learning - Neural Network, Recurrent Neural Networks
• Database - SQL, Advance SQL, Oracle, NoSQL
• Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark
• Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc
• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
• Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn
• Big Data Technologies - Spark (Pyspark & SparkR), Hadoop, Yarn
• PM Tools - MS Project, MS Visio, TFS, JIRA
• Cloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernetes, Kafka
• 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques - Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus on implementing machine learning techniques to solve various business problems in the banking and financial services sector.
Responsibilities:
• Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Qualifications:
Required:
• Machine Learning techniques
• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations
• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm
• Time series - Exponential models, Holt-Winters, ETS, Hybrid
• ARIMA & GARCH
• Deep Learning - Neural Network, Recurrent Neural Networks
• Database - SQL, Advance SQL, Oracle, NoSQL
• Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark
• Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc
• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
• Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn
• Big Data Technologies - Spark (Pyspark & SparkR), Hadoop, Yarn
• PM Tools - MS Project, MS Visio, TFS, JIRA
• Cloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernetes, Kafka
• 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques - Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About ClifyX
Sourced by ZipRecruiter
ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
South Plainfield, NJ, US
Year founded
1998