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Scikit Learn Jobs (NOW HIRING)

SunRay Enterprise Inc

Senior Data Lead

Roselle, NJ · On-site

$68.50 - $91.75/hr

Core Data Science + Python + scikit-learn + deep learning framework + MLOPS Key Responsibilities * Strong core data science and machine learning experience, solid Python + scikit-learn + deep ...

K-Tek Resourcing LLC

ML Engineer

Austin, TX · On-site

The ideal candidate will have strong experience in Python, Java, Scikit-learn, and machine learning algorithms, with the ability to build scalable and production-ready ML applications. The candidate ...

Aivra Health LLC

AI/ML Engineer

California City, CA · On-site

Scikit-learn * Pandas, NumPy * SQL * Data Analysis * NLP or Computer Vision (Preferred) * AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI * Git Preferred Qualifications * Bachelor''s or ...

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

Scikit-learn; TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python ...

CYNET SYSTEMS

Data Scientist

Rahway, NJ · On-site

$55 - $60/hr

Solid Python, scikit-learn, and deep learning framework skills. * Experience with scikit-learn and at least one deep learning framework such as TensorFlow, PyTorch, or Keras. * Hands-on experience ...

Innovcentric LLC

AI Architect

Houston, TX · On-site

$90/hr

... PyTorch, scikit-learn). • Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop). • Experience with cloud platforms (e.g., AWS, Azure ...

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost. * Implement models in production environments using MLOps best practices (e.g ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Key Responsibilities: • Design, develop, and deploy machine learning and NLP models for text-based applications. • Work extensively with Python libraries such as Pandas, NumPy, and Scikit-learn ...

Virtuous Tech Inc

AIML Engineer -W2 Only

Texas City, TX · On-site

PyTorch, TensorFlow, scikit-learn, or similar ML frameworks * AWS/Azure/Google Cloud Platform cloud experience * Model deployment, MLOps, Docker, Kubernetes, CI/CD * API development using FastAPI or ...

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Scikit Learn information

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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 Lead

Senior Data Lead

SunRay Enterprise Inc

Roselle, NJ • On-site

$68.50 - $91.75/hr

Other

Posted 28 days ago

Job description

W2 ONLY

Position: Senior Data Lead

Location: Rahway, NJ / WestPoint, PA

CONTRACT ROLE

Job Description

Primary & Secondary Skill

  • Core Data Science + Python + scikit-learn + deep learning framework + MLOPS

Key Responsibilities

  • Strong core data science and machine learning experience, solid Python + scikit-learn + deep learning framework skills.
  • Experience with scikit-learn and at least one deep learning framework such as TensorFlow, PyTorch, or Keras.
  • Hands-on experience delivering real-world data science and machine learning solutions.
  • Strong understanding of statistical analysis, machine learning, and model evaluation.
  • practical experience building or supporting LLM / Generative AI use cases, familiarity with prompt engineering, RAG, embeddings, and LLM evaluation, and strong ability to work across business and technical teams.

 

Preferred candidates will also bring:

  • MLOps / cloud / deployment experience, experience in regulated or manufacturing/pharma settings, and practical delivery of production GenAI applications

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