At a Glance
- Tasks: Review and assess data science documents to train a cutting-edge AI language model.
- Company: Join a leading AI lab backed by top investors like Andreessen Horowitz.
- Benefits: Earn $100/hour with flexible remote work, up to $2,000/week.
- Other info: Create a profile for ongoing opportunities in the evolving AI landscape.
- Why this job: Make an impact in AI while utilising your data science expertise.
- Qualifications: 4+ years as a data scientist or ML engineer with strong communication skills.
The predicted salary is between 100 - 100 £ per hour.
We're working with a leading foundational AI lab to find experienced data scientists and ML engineers who can help train their latest language model on data science documentation tasks. We're looking for practitioners with 4+ years of experience to review and assess documents - judging whether the content and structure of each reflect the material they would genuinely encounter in day-to-day data science practice.
Compensation: $100/hour
Commitment: Flexible, up to 20 hours/week
Location: Fully remote
Start date: ASAP
Qualifications:
- 4+ years of experience as a data scientist or ML engineer
- Current, hands‑on familiarity with the documents your team writes and reviews
- Excellent written communication and attention to detail
Key Requirements:
- 4+ years in data science
- Python and SQL fluency
- Experience with modeling and experimentation
- No AI experience needed
Expert Opportunity - Senior Data Scientist ($100/hr, up to $2,000/week) employer: Ethos
Ethos is an exceptional employer that values innovation and flexibility, offering a fully remote work environment that empowers employees to excel in their roles. With a strong focus on professional development, team collaboration, and the opportunity to work with cutting-edge AI technology, employees can expect meaningful growth and a supportive culture that fosters creativity and excellence in financial analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Expert Opportunity - Senior Data Scientist ($100/hr, up to $2,000/week)
✨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 Expert Opportunity - Senior Data Scientist ($100/hr, up to $2,000/week)
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Expert Opportunity - Senior Data Scientist ($100/hr, up to $2,000/week) at Ethos, 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 Ethos.
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 Ethos
✨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!
