At a Glance
- Tasks: Analyse complex datasets and develop predictive models to enhance AI capabilities.
- Company: Join Mercor, a leading tech firm backed by top investors in the heart of San Francisco.
- Benefits: Earn $56/hour with flexible remote work and opportunities for professional growth.
- Other info: Dynamic role with daily application reviews and a supportive team.
- Why this job: Make a real impact in AI research while collaborating with elite talent.
- Qualifications: Must be a Kaggle Grandmaster with 3-5 years of data science experience.
The predicted salary is between 40 - 56 £ per hour.
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Scientist
Type: Contract
Compensation: $56/hour
Location: Remote
Commitment: 30–40 hours/week
Role Responsibilities
- Analyze large, complex datasets to uncover patterns and develop insights.
- Inform modeling direction and improve AI model training.
- Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data.
- Design and implement robust validation strategies, experiment frameworks, and analytical methodologies.
- Develop automated data workflows, feature pipelines, and reproducible research environments.
- Conduct exploratory data analysis, hypothesis testing, and model-driven investigations to support research and product teams.
- Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale.
Qualifications
Must-Have
- Kaggle Competitions Grandmaster or comparable achievement.
- 3–5+ years of experience in data science or applied analytics.
- Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn).
- Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment.
- Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis.
- Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools.
- Excellent communication skills with the ability to clearly present analytical insights.
Preferred
- Strong contributions across multiple Kaggle tracks.
- Experience in an AI lab, fintech, product analytics, or ML-focused organization.
- Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data.
- Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery).
- Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming.
Application Process (Takes 20–30 minutes to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform information, please check: Interview Process
For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Lead Data Scientist | $56/hr Max employer: Mercor
At Mercor, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture, perfect for talented individuals in the AI research field. Our remote work environment offers flexibility and the opportunity to collaborate with elite professionals while contributing to cutting-edge projects. With a strong focus on employee growth, we provide access to resources and support that empower our team members to excel in their careers and make meaningful contributions to the world of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist | $56/hr Max
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Lead Data Scientist | $56/hr Max
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Lead Data Scientist | $56/hr Max at Mercor, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Mercor.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Mercor
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
