At a Glance
- Tasks: Evaluate AI outputs and improve advanced AI systems using your data science expertise.
- Company: Join a leading AI lab as a Data Scientist in a fully remote role.
- Benefits: Earn $245-$280 per hour while working on expert-level projects.
- Other info: Work remotely with opportunities for professional growth in a dynamic environment.
- Why this job: Make a real impact in AI by solving complex data science problems.
- Qualifications: 1+ year experience in tech, finance, or research; strong data science skills required.
micro1 is partnering with a leading AI lab to engage experienced Data Scientists and quantitative professionals from top companies. In this role, you will apply your expertise in statistics, machine learning, experimentation, data analysis, and quantitative reasoning to evaluate and improve the capabilities of advanced AI systems.
You will work on expert-level data science problems, assess AI-generated solutions, identify methodological and statistical weaknesses, and provide structured feedback that helps models reason more accurately and effectively.
Responsibilities
- Evaluate AI-generated outputs across data science, statistics, machine learning, and quantitative reasoning problems.
- Create expert-level prompts and datasets designed to assess advanced quantitative capabilities.
- Develop accurate reference solutions for complex data science and statistical problems.
- Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
- Assess the validity and quality of AI-generated analytical approaches.
- Review model outputs for technical accuracy, logical consistency, and sound statistical reasoning.
- Provide structured, actionable feedback to improve AI model performance.
- Apply strong quantitative judgment when evaluating experimental designs, analytical methods, and data-driven conclusions.
- Communicate technical findings and statistical concepts clearly and precisely.
Required Qualifications
- At least 1 year of professional experience at a top company in technology, finance, research, or a comparable environment.
- At least part of the qualifying professional experience must have been within the past 7 years.
- Strong expertise in data science, statistics, machine learning, or quantitative analysis.
- Undergraduate degree from a top-ranked university.
- Strong analytical and quantitative reasoning abilities.
- Ability to evaluate complex statistical and machine-learning methodologies.
- Clear written communication of technical and statistical concepts.
- Ability to identify subtle errors in quantitative reasoning and analytical approaches.
- Professional proficiency in English.
Preferred Qualifications
- Professional experience combining Python, machine learning, statistics, and data analysis.
- Experience with Pandas and other data science tools.
- Experience with experimentation and experimental design.
- Strong understanding of data modeling and quantitative methods.
- Experience developing analytical datasets or benchmark problems.
- Background in quantitative roles within technology, finance, or research organizations.
- Experience evaluating technical or AI-generated outputs.
- Strong ability to explain complex quantitative concepts clearly and concisely.
Compensation
$245–$280 per hour
Contractor engagement
Fully remote
Expert-level work supporting AI evaluation and quantitative reasoning
Eligibility
- Candidates should have at least 1 year of experience working at a top company in technology, finance, research, or a related field.
- At least part of this experience should have been obtained within the past 7 years.
- Undergraduate degree from a top-ranked university.
- Candidates should be based in an English-speaking country.
- Strong written English and technical communication skills are required.
Application Process
- Submit your application highlighting your Data Science and quantitative experience.
- Detail your professional experience at relevant technology, finance, or research organizations.
- Highlight your expertise in statistics, machine learning, experimentation, and quantitative analysis.
- Provide information about your academic background and relevant technical skills.
- Selected candidates will be considered based on their quantitative expertise, professional background, and project fit.
Data Scientist (Remote | $245-$280/hr) in Altrincham employer: Synthires
Join a forward-thinking company that values your legal expertise while offering the flexibility of remote work. With competitive compensation and a culture that fosters collaboration across disciplines, you'll have the opportunity to contribute to innovative AI projects that shape the future of legal technology. This role not only allows for meaningful engagement in corporate law but also provides avenues for professional growth in an evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Remote | $245-$280/hr) in Altrincham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Synthires!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist (Remote | $245-$280/hr) at Synthires.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Synthires.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist (Remote | $245-$280/hr) at Synthires, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist (Remote | $245-$280/hr) in Altrincham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Synthires, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Synthires. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Synthires
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Synthires!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
