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- Tasks: Design and create computational data science problems for real-world AI projects.
- Company: Join Mindrift, a leader in shaping the future of AI with innovative solutions.
- Benefits: Earn up to $55/hour, work remotely, and enhance your portfolio with advanced AI projects.
- Why this job: Make a real impact on AI while working flexibly around your studies or other commitments.
- Qualifications: Master's or PhD in a quantitative field, 5+ years of data science experience, and Python proficiency.
- Other info: Fully remote role with opportunities for career growth and learning new methods.
The predicted salary is between 40 - 55 ÂŁ per hour.
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real‑world expertise from across the globe.
About The Role
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you will have the opportunity to collaborate on these projects.
Responsibilities
- Design original computational data science problems that simulate real‑world analytical workflows across industries (telecom, finance, government, e‑commerce, healthcare).
- Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non‑trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility.
- Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Design end‑to‑end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
- Incorporate big data processing scenarios requiring scalable computational approaches.
- Verify solutions using Python with standard data science libraries and statistical methods.
- Document problem statements clearly with realistic business contexts and provide verified correct answers.
How To Get Started
Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you will help shape the future of AI while ensuring technology benefits everyone.
Requirements
- You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.
- You have at least 5 years of hands‑on data science experience with proven business impact.
- You have a portfolio of completed projects and publications showcasing real‑world problem‑solving.
- You are proficient in Python programming for data science (pandas, numpy, scipy, scikit‑learn, statsmodels).
- You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications.
- You are proficient in SQL and database operations for data manipulation and analysis.
- You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
- You have good understanding of MLOps practices and model deployment workflows.
- You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).
- Your level of English is advanced (C1) or above.
- You are ready to learn new methods, able to switch between tasks and topics quickly, and sometimes work with challenging, complex guidelines.
Our freelance role is fully remote, so you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.
Benefits
- Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs.
- Take part in a part‑time, remote, freelance project that fits around your primary professional or academic commitments.
- Work on advanced AI projects and gain valuable experience that enhances your portfolio.
- Influence how future AI models understand and communicate in your field of expertise.
Seniority level: Mid‑Senior level
Employment type: Part‑time
Job function: Other
Industries: IT Services and IT Consulting
Freelance Computational Data Science Expert (Python & SQL) employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Computational Data Science Expert (Python & SQL)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for freelance gigs. You never know who might have a lead or can refer you to someone looking for your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving Python and SQL. Make sure to include real-world problems you've solved, as this will catch the eye of potential clients.
✨Tip Number 3
Stay active on platforms where opportunities pop up. Websites like ours at StudySmarter are great for finding freelance roles. Regularly check for new postings and apply quickly to stand out from the crowd!
✨Tip Number 4
Prepare for interviews by brushing up on common data science questions and scenarios. Be ready to discuss your problem-solving process and how you approach complex data challenges. Confidence is key!
We think you need these skills to ace Freelance Computational Data Science Expert (Python & SQL)
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in Python, SQL, and data science. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Show Off Your Portfolio: Include a link to your portfolio that demonstrates your problem-solving abilities in data science. We love seeing real-world examples of your work, especially those that have made an impact in previous roles.
Be Clear About Your English Proficiency: Since we need your resume in English, make sure to indicate your level of proficiency clearly. This helps us understand your communication skills right from the start, which is super important for collaboration.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific libraries like pandas and scikit-learn, and have examples of how you've used them in real-world projects. This will show that you’re not just familiar with the tools, but you can apply them effectively.
✨Showcase Your Portfolio
Bring along a portfolio of your completed projects that highlight your problem-solving abilities. Be prepared to explain the challenges you faced, the methods you used, and the impact your work had. This is your chance to demonstrate your expertise and how it aligns with the role.
✨Understand the Business Context
Since the role involves designing problems based on real business challenges, make sure you understand common scenarios in industries like finance or healthcare. Think about how data science can solve specific issues in these fields, and be ready to discuss your ideas during the interview.
✨Practice Your Communication Skills
As you'll be working remotely and possibly collaborating with others, strong communication is key. Practice explaining complex concepts in simple terms. This will help you convey your ideas clearly and show that you can work well in a team setting, even from a distance.