Data Scientist (Masters)
Alignerr
New York, NYFresher58m agovia LinkedIn
About the Role
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Complex Challenges: Develop advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more.
- Author Ground-Truth Solutions: Write rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations.
- Audit AI-Generated Code: Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow.
- Refine Model Reasoning: Identify logical failures such as data leakage, overfitting, and improper handling of imbalanced datasets.
- Document Failure Modes: Capture and communicate edge cases and reasoning gaps.
Who You Are
- Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong focus on data analysis.
- Solid foundational knowledge in supervised and unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
- Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing.
- Naturally detail-oriented.
- No prior AI training or annotation experience required.
Nice to Have
- Experience with data annotation, data quality, or evaluation systems.
- Familiarity with production-level data science workflows such as MLOps or CI/CD for models.
- Exposure to model evaluation, benchmarking, or AI research environments.