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Scikit Learn Jobs (NOW HIRING)

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Thermal Engineering R&D Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

Research, develop, and test ML models (Regression, Time-Series, Anomaly Detection) using Python frameworks like TensorFlow, PyTorch, or Scikit-learn to improve thermal monitoring and prediction.

Apex Informatics

Data Scientist

Irving, TX · On-site

Proficiency in training and deploying data models Proficiency in Python and experience with relevant libraries such as Pandas, NumPy, SciPy, and Scikit-learn. Experience with Azure AutoML Experience ...

PALNAR

AI/ML Architect

Nashville, TN

$61.50 - $79.25/hr

Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. * Experience with designing and implementing end-to-end machine learning pipelines. * Proficiency in data ...

Comcast

Machine Learning Engineer 3-7881

Philadelphia, PA · On-site +1

$115K - $138K/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 ...

VTG

Data Scientist

Herndon, VA

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

Tech Tammina

AIML Engineer (Gen AI)

Austin, TX · On-site

Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and data tooling. * Strong communication skills to collaborate across cross-functional teams. * Available for ...

ePATHUSA, Inc.

Sr. AI Engineer

Houston, TX · On-site

Collaborate with data scientists to integrate machinelearning models (e.g., using TensorFlow, PyTorch, or scikit-learn) forapplications such as energy demand forecasting, predictive maintenance ...

Kasmo Global

AI-ML Engineer

Battleboro, NC

Strong experience with PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM. Hands-on experience with Generative AI, LLMs, RAG pipelines, and vector databases. Advanced knowledge of Docker ...

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 ...

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How much do scikit learn jobs pay per year?

As of Jun 8, 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 May 2026, with employment types broken down into 1% As Needed, 72% Full Time, and 27% Part Time. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Annapolis Junction, MD

Other

Posted 9 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 425 rated business services

Job description

Accenture Federal Services is looking for a highly motivated and skilled Data Scientist/AI Specialist to join our innovative team. The ideal candidate will possess a strong background in programming, statistical analysis, machine learning, and data preparation, ensuring effective data analysis and informed decision-making.

What you'll do:

  • Develop and implement data-driven solutions using programming languages such as Python and R
  • Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
  • Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
  • Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
  • Collaborate with cross-functional teams to understand business needs and deliver actionable insights

What you'll need:

  • Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
    • 4 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
    • A PhD from an accredited college or university in a quantitative discipline can be substituted for four 4 years of experience
  • 14 years of experience in software engineering in similar programs and contracts 
  • 5 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB

Bonus points if you have:

  • Familiarity with libraries like NumPy, pandas, and advanced visualization tools
  • Experience analyzing datasets and developing analytics 
  • Experience in creating impactful data visualizations and reports for stakeholders
  • Ability to work independently and in a collaborative team environment
  • Strong foundation in statistics and probability, including regression analysis and hypothesis testing
  • Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
  • Expertise in data wrangling to prepare raw data for analysis
  • Excellent problem-solving and analytical skills

Security Clearance:

  • Must have an active TS/SCI with polygraph level clearance

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