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Kaggle Jobs (NOW HIRING)

OPTWISE CONSULTING LLC

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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.

Nuance Labs

Nuance Research Fellow

Seattle, WA · On-site

... fellow, Kaggle grandmaster, or similar • Open-source contributions to major ML frameworks or research codebases • A track record of independent projects that made something noticeably faster ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g.Certifications or advanced coursework)

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How much do kaggle jobs pay per year?

As of Jul 22, 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.

Can Kaggle get you a job?

Kaggle is a platform for data science competitions and skill development, which can help showcase your abilities to potential employers. Success depends on your performance, portfolio, and how well you communicate your skills to hiring managers; participating in competitions can strengthen your resume and demonstrate expertise in machine learning and data analysis.

Which 3 jobs will survive AI?

Data scientists, software developers, and cybersecurity analysts are expected to remain in demand as AI advances, due to their reliance on complex problem-solving, coding, and understanding of security protocols. These roles require specialized skills, critical thinking, and adaptability that are less easily automated. Continuous learning and proficiency with AI tools can enhance job security in these fields.

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.

What jobs pay $500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs and CFOs, specialized medical professionals like neurosurgeons, and top-tier technology positions such as senior software engineers or data scientists with extensive experience. These roles often require advanced skills, significant experience, and sometimes ownership or leadership responsibilities within organizations.

What is Kaggle and how does it work?

Kaggle is a platform for data scientists and machine learning practitioners to participate in competitions, share datasets, and collaborate on projects. It provides a environment for developing models using tools like Python and R, with access to public datasets and a community for learning and skill development.
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 July 2026, with employment types broken down into 2% Internship, 95% Full Time, and 3% Part Time. Highlights an 65% Physical, and 35% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Quant Finance Career Coach

Quant Finance Career Coach

OPTWISE CONSULTING LLC

New York, NY • Remote

$40 - $50/hr

Part-time

Posted 27 days ago

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Job description

We are a North America-based career coaching firm dedicated to helping students and early-career professionals secure competitive positions at leading quantitative finance firms, hedge funds, proprietary trading firms, investment banks, and fintech companies.

Our students come from top universities including CMU, Cornell, MIT, Stanford, Berkeley, Princeton, Columbia, UChicago, NYU, Waterloo, and other leading institutions. We provide personalized career coaching that includes resume development, interview preparation, networking strategy, technical guidance, and recruiting support.

We are seeking experienced Quant Finance Career Coaches who have firsthand industry experience and a passion for mentoring the next generation of quantitative finance professionals.

Responsibilities

As a Quant Finance Career Coach, you will:

Career Strategy

  • Conduct 1-on-1 career consultations
  • Evaluate students' backgrounds and identify strengths and gaps
  • Develop customized recruiting roadmaps
  • Help students target appropriate firms and roles

Examples include:

  • Quant Research
  • Quant Trading
  • Quant Developer
  • Quantitative Analyst
  • Risk Quant
  • Systematic Trading
  • Algorithmic Trading
  • Portfolio Analytics

Resume & LinkedIn Optimization

Guide students in:

  • Quant-focused resume writing
  • Technical storytelling
  • Research presentation
  • Project positioning
  • GitHub optimization
  • LinkedIn branding

Technical Interview Preparation

Coach students on:

Mathematics

  • Probability
  • Statistics
  • Linear Algebra
  • Optimization
  • Stochastic Processes

Programming

  • Python
  • C++
  • SQL
  • Data Structures
  • Algorithms

Quant Topics

  • Options
  • Derivatives
  • Portfolio Theory
  • Market Microstructure
  • Time Series
  • Machine Learning
  • Factor Models

Mock Interviews

Conduct realistic mock interviews including:

  • Technical interviews
  • Quant brainteasers
  • Probability questions
  • Coding interviews
  • Behavioral interviews
  • Research discussions

Provide detailed feedback and improvement plans.

Recruiting Support

Advise students on:

  • Internship recruiting
  • Full-time recruiting
  • Networking strategy
  • Referral strategy
  • Recruiting timelines
  • Offer negotiation

Student Mentorship

  • Track student progress
  • Assign weekly action items
  • Review applications
  • Support recruiting throughout the hiring cycle
  • Provide motivation and accountability

Required Qualifications

  • Bachelor's degree in:
    • Mathematics
    • Statistics
    • Computer Science
    • Physics
    • Financial Engineering
    • Operations Research
    • Economics
    • Quantitative Finance
    • Related quantitative discipline

Preferred:

Master's or PhD

Professional Experience

Minimum 3+ years in one or more of the following:

  • Quant Research
  • Quant Trading
  • Quantitative Development
  • Quantitative Risk
  • Systematic Investing
  • Portfolio Analytics
  • Financial Engineering
  • Algorithmic Trading

Experience at leading firms is highly preferred.

Technical Skills

Strong knowledge of:

Programming

  • Python
  • C++
  • SQL

Quantitative Topics

  • Probability
  • Statistics
  • Machine Learning
  • Time Series
  • Derivatives
  • Optimization
  • Numerical Methods

Recruiting Knowledge

Deep understanding of recruiting at:

  • Hedge Funds
  • Proprietary Trading Firms
  • Investment Banks
  • Asset Managers
  • FinTech Companies

Knowledge of:

  • OA assessments
  • Quant interviews
  • Coding interviews
  • Brainteasers
  • Research presentations
  • Hiring timelines

Coaching Skills

Excellent ability to:

  • Explain complex concepts clearly
  • Mentor students with diverse backgrounds
  • Deliver actionable feedback
  • Build confidence
  • Communicate professionally

Preferred Qualifications

Experience with:

  • ACM/ICPC
  • Kaggle
  • Putnam
  • Math Olympiad
  • Competitive Programming
  • Quant competitions

Ideal Candidate

You are someone who:

  • Has worked in quantitative finance or systematic investing
  • Understands what top firms look for in candidates
  • Enjoys mentoring students
  • Stays current with hiring trends and interview practices
  • Can simplify advanced quantitative concepts
  • Is organized, responsive, and student-focused