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Kaggle Master Jobs (NOW HIRING)

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

Master's degree + 2 years working experience in machine learning * Proficiency in at least one ... ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred * Research experience ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

Master's degree + 2 years working experience in machine learning * Proficiency in at least one ... ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred * Research experience ...

Nexxa.ai

AI Vision Engineer

San Francisco, CA · On-site

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or ... Contributions to open-source projects, technical blogs, research publications, Kaggle competitions ...

Nexxa.AI

AI Vision Engineer

San Francisco, CA · On-site

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or ... Contributions to open‑source projects, technical blogs, research publications, Kaggle ...

CIM Group, LP

Data Science Intern

Los Angeles, CA · On-site

Currently pursuing a bachelor's or master's degree in Economics, Data Science, Mathematics ... e.g., Kaggle), or personal projects in data, analytics, or AI. * Exposure to applied machine ...

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How much do kaggle master jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for kaggle master in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.

What is a Kaggle master?

A Kaggle Master is not a traditional job title but a designation awarded to top-performing data scientists on Kaggle, a competitive machine learning platform. Companies may hire Kaggle Masters for roles like data scientist, machine learning engineer, or AI researcher due to their proven expertise in solving complex data challenges. Their strong track record in competitions demonstrates advanced skills in model development, feature engineering, and problem-solving.

What are the key skills and qualifications needed to thrive as a Kaggle master?

To thrive as a Kaggle Master, you need a deep understanding of machine learning, data analysis, and advanced programming skills, often demonstrated through a proven track record in data science competitions. Expertise in tools such as Python, R, Jupyter Notebooks, and libraries like scikit-learn, TensorFlow, or PyTorch is highly valuable, along with knowledge of version control systems like Git. Strong problem-solving ability, creativity, and the communication skills to share findings and collaborate on team competitions set top performers apart. These skills ensure that you can develop innovative, high-performing models and effectively contribute to competitive data science projects.

What are the main challenges faced by Kaggle masters in their day-to-day work?

Kaggle Masters often encounter challenges such as dealing with messy, incomplete, or unbalanced datasets and staying updated with rapidly evolving machine learning techniques. They frequently need to iterate and experiment with multiple data preprocessing, modeling, and ensemble strategies to achieve top results. Working under tight competition deadlines and effectively collaborating with team members across different time zones can also be demanding. However, overcoming these challenges is part of what makes the role highly rewarding and fosters sharp technical and problem-solving skills.

Do people get hired from Kaggle Master?

Kaggle Masters often improve their chances of being hired by demonstrating strong data science and machine learning skills through competitions. Employers value Kaggle achievements as evidence of practical expertise, but hiring also depends on overall experience, interview performance, and fit for the role.
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Kaggle Master jobs near you
Infographic showing various Kaggle Master job openings in the United States as of September 2026, with employment types broken down into 50% Internship, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $92,247 per year, or $44.3 per hour.

Data Science Technical Project Lead/ Project Manager

Syracuse, NY • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Re-posted 21 days ago

Job description

Job Description

We are seeking a Data Science Technical Project Lead to drive the successful delivery of multiple AI, Machine Learning, and Data Science initiatives. This role combines technical leadership, project management, stakeholder engagement, and hands-on data science expertise to transform complex data into actionable business insights. The ideal candidate will lead cross-functional teams, manage project lifecycles, and ensure the successful implementation of AI/ML solutions that deliver measurable business value.

 

Key Responsibilities:

  • Lead and deliver 2-3 concurrent Data Science and AI/ML projects from initiation through deployment.
  • Define project scope, timelines, deliverables, and success metrics in collaboration with business stakeholders.
  • Manage project resources, risks, dependencies, and communications across technical and business teams.
  • Drive adoption of AI, Machine Learning, GenAI, and Agentic AI solutions to solve business challenges.
  • Translate complex analytical findings into actionable recommendations for stakeholders.
  • Collaborate with Data Scientists, Engineers, Product Owners, and external consultants.
  • Provide hands-on technical support when required, including Python-based development and analysis.
  • Ensure adherence to Agile, project management, and change management best practices.

 

Required Skills:

  • Strong experience in Data Science, Machine Learning, AI/GenAI, and Analytics.
  • Proven expertise in Project Management, Change Management, and Stakeholder Management.
  • Hands-on experience with Python, statistical analysis, and machine learning methodologies.
  • Knowledge of Cloud Platforms (Azure preferred).
  • Strong communication, presentation, and data visualization skills.
  • Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field (or equivalent experience).

 

Preferred Qualifications:

  • Experience in Energy, Utilities, or Infrastructure sectors.
  • Familiarity with Agentic AI, LLMs, and Generative AI applications.
  • Experience with Power BI, GIS/ArcGIS, and Agile methodologies.
  • Active participation in GitHub, Kaggle, or other data science communities.

Interview Process

  • Initial Screening Round
  • Technical Interview Round
  • Take-Home Assignment followed by an In-Person Presentation and Discussion