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Scikit Learn Jobs (NOW HIRING)

1 point system

Senior Data Scientist

New York, NY · Remote

Expertise in Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc). * Experience in developing and deploying solutions ...

CYNET SYSTEMS

AI/ML Engineer

Aliso Viejo, CA · On-site

$52 - $57/hr

ML Libraries (Scikit-learn, Pandas, NumPy) - 3-4+ years. * Model Fine-Tuning & Hyperparameter Optimization - 2-3+ years. * AWS SageMaker (Training, Deployment, Endpoints) - 2-3+ years (Hands-on)

Siri InfoSolutions Inc

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Proficiency with Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn. * An in-depth understanding of contemporary software engineering techniques. * Docker, Kubernetes, and/or ...

Snowrelic Inc

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). * Collaborate with cross ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

PyTorch * Scikit-learn * XGBoost * Strong understanding of: * Supervised and Unsupervised Learning * Deep Learning * Neural Networks * Natural Language Processing (NLP) * Computer Vision

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

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How much do scikit learn jobs pay per year?

As of Jul 18, 2026, the average yearly pay for scikit learn in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities in a Scikit-learn-focused job?

In a Scikit-learn-focused role, your day-to-day responsibilities often include developing and testing machine learning models, performing data preprocessing, feature engineering, and evaluating model performance using Scikit-learn's extensive toolkit. You may collaborate closely with data engineers, software developers, and business analysts to understand project requirements and integrate models into production systems. Regular tasks can also involve tuning hyperparameters, interpreting model outputs, and documenting your work for future reference or team knowledge sharing. This blend of technical and collaborative tasks helps ensure your models are both effective and aligned with business goals.

What is a Scikit Learn job?

A Scikit Learn job typically involves using the Scikit Learn library in Python for machine learning tasks such as data preprocessing, model training, and evaluation. Professionals in these roles often work as data scientists, machine learning engineers, or AI researchers to develop predictive models and enhance data-driven decision-making. Responsibilities may include implementing supervised and unsupervised learning algorithms, tuning hyperparameters, and integrating models into production systems. Strong proficiency in Python, statistical analysis, and experience with libraries like NumPy and pandas are often required.

What are the key skills and qualifications needed to thrive in the Scikit Learn position, and why are they important?

To excel in roles focused on Scikit-learn, you need a solid background in machine learning, programming in Python, and statistical analysis, often backed by a degree in computer science, data science, or a related field. Familiarity with Scikit-learn's API, version control systems like Git, and practical experience using Jupyter notebooks or similar development environments are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to stakeholders are vital soft skills. These abilities are crucial for developing effective machine learning solutions and collaborating efficiently within multidisciplinary data teams.

More about Scikit Learn jobs
What are the most commonly searched types of Scikit Learn jobs? The most popular types of Scikit Learn jobs are:
What states have the most Scikit Learn jobs? States with the most job openings for Scikit Learn jobs include:
What job categories do people searching Scikit Learn jobs look for? The top searched job categories for Scikit Learn jobs are:
Scikit Learn jobs near you
Infographic showing various Scikit Learn job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist

Senior Data Scientist

1 point system

New York, NY • Remote

Contractor

Re-posted 8 days ago

Job description

Required Skills -

  • Expertise in operations research modeling (LP, IP, MIP) and tools (CPLEX, Gurobi, etc).
  • Expertise in building machine learning models, including supervised, unsupervised, and deep learning methods.
  • Expertise in feature engineering, model evaluation, and hyperparameter tuning.
  • Expertise in Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc).
  • Experience in developing and deploying solutions in a Cloud environment (AWS, Azure, GCP) with large datasets.
  • Experience with streaming data architectures.
  • Experience operating in an Agile Methodology environment.
  • Experience with DevOps and CI/CD concepts.
  • Excellent communication and teamwork skills.