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Kaggle Jobs (NOW HIRING)

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred * Research experience related to graph learning and few-shot learning is preferred * Language requirement: English, Mandarin is ...

The Tyche Project

Lead Data Scientist

Boston, MA · On-site

To be considered please submit your resume and why you think you are the right person to tackle this challenge along with any other experience (Kaggle competitions, etc) you feel relevant.

Nace AI

Research Engineer

Palo Alto, CA · On-site

Kaggle experience is a plus. Preferred Technical Experience * Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing novel LLM adaptation methods, Online ...

Autoscience

Senior / Staff Software Engineer

Menlo Park, CA · On-site

$144K - $190K/yr

Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025) and the first AI system to win a Kaggle medal. We are passionate about pushing the boundaries of ...

The Tyche Project

Lead Data Scientist

Boston, MA · On-site

To be considered please submit your resume and why you think you are the right person to tackle this challenge along with any other experience (Kaggle competitions, etc) you feel relevant.

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

ACM/ICPC * Kaggle * Putnam * Math Olympiad * Competitive Programming * Quant competitions Ideal Candidate You are someone who: * Has worked in quantitative finance or systematic investing

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

ACM/ICPC * Kaggle * Putnam * Math Olympiad * Competitive Programming * Quant competitions Ideal Candidate You are someone who: * Has worked in quantitative finance or systematic investing

Aledade

Staff AI Researcher

Winners in ACM-ICPC, NOI/IOI, Kaggle. * Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc. Physical Requirements: * Sitting for prolonged periods of time.

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN

$15.25 - $19.75/hr

Candidates who have coursework, projects, and evidence of interest in data science (e.g. participating in Kaggle competitions) but lack industry experience are ideal for this position. Why Mayo ...

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All JobsKaggle Jobs

Kaggle information

See salary details

$46K

$165K

$243.5K

How much do kaggle jobs pay per year?

As of Jun 30, 2026, the average yearly pay for kaggle in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

How does a Data Scientist working on Kaggle competitions typically collaborate with team members to achieve better results?

Data Scientists participating in Kaggle competitions often work in teams to leverage diverse skill sets and perspectives. Team members share code, discuss problem-solving strategies, and review each other's models to find the most effective approaches. Collaboration usually happens through online communication platforms, version control systems like GitHub, and shared notebooks on Kaggle itself. This teamwork not only enhances solution quality but also provides valuable learning and networking opportunities within the data science community.

What is Kaggle and what do people do on it?

Kaggle is an online platform that hosts data science and machine learning competitions, as well as datasets and educational resources. Users, often called 'Kagglers', participate in challenges by building predictive models using real-world data. Kaggle also offers a collaborative environment where users can share code, discuss problems, and learn from each other. Many data scientists and machine learning enthusiasts use Kaggle to improve their skills, showcase their expertise, and connect with the global data community.

What is the difference between Kaggle vs Data Scientist?

AspectKaggleData Scientist
Required CredentialsNone mandatory; competitive programming skills often preferredTypically requires a degree in data science, statistics, or related fields
Work EnvironmentOnline platform, competitions, and community-based projectsCorporate or research settings, working on real-world data problems
Employer & Industry UsageUsed by individuals for skill development and competitionsEmployed by companies across industries for data analysis and modeling
Common Search & Comparison IntentYesYes

While Kaggle is primarily an online platform for data science competitions and skill development, Data Scientists work within organizations to analyze data and build models for business solutions. Kaggle can be a stepping stone to a Data Scientist role, but they are distinct in their work environment and employment context.

What are the key skills and qualifications needed to thrive as a Data Scientist on Kaggle, and why are they important?

To thrive as a Data Scientist on Kaggle, you need a solid background in statistics, machine learning, data analysis, and proficiency in programming languages such as Python or R. Experience with technical tools like Jupyter Notebooks, data visualization libraries (e.g., Matplotlib, Seaborn), and familiarity with Kaggle's platform and competition formats are essential. Strong problem-solving abilities, creativity, and effective communication of results set top performers apart. These competencies are crucial for developing innovative solutions, sharing insights, and excelling in competitive data science environments.
More about Kaggle jobs
What states have the most Kaggle jobs? States with the most job openings for Kaggle jobs include:
What job categories do people searching Kaggle jobs look for? The top searched job categories for Kaggle jobs are:
Kaggle jobs near you
Infographic showing various Kaggle job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 84% Physical, and 16% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Anti-Fraud Risk Engineer

BloKchain Talent

Tempe, AZ • On-site

Full-time

Posted 16 days ago

Key responsibilities

  • Collaborate with cross-functional teams to design detection models for abuse, pornography, and tele-fraud based on business requirements and protection policies.

  • Develop telephone anti-fraud, anti-spam, anti-pornography, anti-abuse registration, and related services.

  • Implement and apply related algorithms on mainstream stream computing platforms.

Job description

Company Description
Our Client, is an award-winning workplace. They have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation, Diversity, and more! Not to mention they've been awarded by Glassdoor as the 2nd Best US workplace & Best Large Company US CEO in 2018, Wealthfront, and Business Insider. They culture focuses on delivering happiness, our commitment to transparency, and the tangible benefits we provide our employees and our customers.
Job Description
POSITION TITLE: Anti-Fraud Risk Engineer
LOCATION: Phoenix AZ
SALARY: Based on Experience
SPONSORSHIP: No
Responsibilities:
  • Teamwork with different function teams to design abuse, porn, tele-fraud detection model base on different business product requirement and protection policy.
  • Responsible for developing telephone anti-fraud, anti-spam, anti-pornography, anti-abuse registration and other services
  • Responsible for the implementation and practice of related algorithms under the current mainstream stream computing platform

Qualifications
  • Master's degree + 2 years working experience in machine learning
  • Proficiency in at least one programming language such as Java, Python
  • Proficiency in big data, the use of frameworks related to stream computing, such as Spark, Flink, etc. And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc.
  • The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery, and require the use of related algorithms, experience in the processing of common procedures in feature engineering, and excellent engineering practice capabilities
  • Experience in algorithms such as, anti-fraud, telecommunication risk control, recommendation system, advertising orientation, click model, etc. is preferred
  • Strong research capabilities, such as high-quality papers published in the field ** conferences such as CVPR, ICCV, ICML, NIPS, etc.
  • ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred
  • Research experience related to graph learning and few-shot learning is preferred
  • Language requirement: English, Mandarin is plus

Additional Information
All your information will be kept confidential according to EEO guidelines.

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