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Kaggle Master Jobs (NOW HIRING)

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ

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 ...

Voloridge Health

Health Data Scientist

Jupiter, FL

Outstanding achievements such as Math competitions, Kaggle - Grandmaster/Master, exceptional scores on SAT/GRE/LSAT, Chess Grandmaster, etc. * Experience with relational SQL databases Benefits

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 ...

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Master's or PhD Professional Experience Minimum 3+ years in one or more of the following: * Quant ... Kaggle * Putnam * Math Olympiad * Competitive Programming * Quant competitions Ideal Candidate You ...

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Master's or PhD Professional Experience Minimum 3+ years in one or more of the following: * Quant ... Kaggle * Putnam * Math Olympiad * Competitive Programming * Quant competitions Ideal Candidate You ...

Aledade

Staff AI Researcher

D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major ... Winners in ACM-ICPC, NOI/IOI, Kaggle. * Working knowledge of health-tech systems, like Electronic ...

The Pennsylvania State University

$14.75 - $19.75/hr

Interns will have the opportunity to work on cutting-edge AI technologies, participate in a Kaggle ... Work within an agile development environment with other developers, scrum master, and product ...

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How much do kaggle master jobs pay per hour?

As of Jun 29, 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 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.

How to become a Kaggle master?

To become a Kaggle Master, you need to earn at least 25 gold medals and accumulate 4,000 points by participating in competitions, notebooks, and discussions. Consistently improving your data science skills, mastering tools like Python and R, and engaging actively on the platform are essential steps toward achieving this status.

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

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.

How much do Kaggle masters make?

Kaggle Masters are typically data scientists or machine learning practitioners who have achieved advanced rankings on Kaggle. Their salaries vary widely based on experience, location, and industry, but many earn between $80,000 and $150,000 annually, especially if they work in data science roles at tech companies or startups. Kaggle achievements can enhance job prospects and salary potential but do not guarantee specific earnings.

How many Kaggle Grandmasters are there?

As of 2023, there are over 200 Kaggle Grandmasters worldwide. Achieving this status requires exceptional data science skills, consistent high-level competition performance, and recognition from the Kaggle community. The number of Grandmasters continues to grow as more data scientists participate and improve their skills on the platform.

What is a Kaggle Master job?

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.

Do people get hired from Kaggle?

Kaggle experience can enhance a data scientist or machine learning engineer’s resume and demonstrate practical skills, which may improve job prospects. While Kaggle achievements alone do not guarantee employment, they are valued by employers as evidence of problem-solving ability and technical expertise in data analysis and modeling.
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Kaggle Master jobs near you
Infographic showing various Kaggle Master job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $92,247 per year, or $44.3 per hour.

Data Science Technical Project Lead/ Project Manager

1 point system

Syracuse, NY • On-site

Contractor

Posted 5 days ago

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.

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