Data Scientist, Response EvaluationJob DescriptionAbout Uplevyl Uplevyl builds AI-powered knowledge and community infrastructure for organizations serving women. Our products include UpGenie (our domain-specific AI assistant), WeHub (our community platform) and UpSocial (a social platform for women). We hold a simple conviction: in high-stakes domains like rights, law and financial security, a generic AI is not enough. The answers people stake their lives and livelihoods on need a purpose-built system with verified, native data. That is what we build, and it is why the work is urgent. AI is reshaping how the world learns, works and earns, and the women we serve cannot afford to be left behind.

That choice sets the bar for every hire, including this one.

About the Role The Data Scientist, Response Evaluation, owns the math underneath UpGenie. The answer to a rights question can change at every level of government: federal law, the 50 states and DC, and about 90,000 local governments, which the US Census Bureau counts as counties, cities, towns, and school and special districts. Our system retrieves and ranks evidence across federal, state and local law in several domains, and our evaluation results drive real product decisions. The role suits someone trained in mathematics, statistics or a quantitative science who has turned that training into working software. You can derive an estimator and prove its properties, then implement it, test it on real data and ship it.

You will ship to production from your first weeks, with real users and real partners depending on what you build.

The scoring functions behind search and ranking: lexical scoring, embedding similarity, hybrid score fusion, learning-to-rank, re-ranking and diversity. You will know the geometry of the embedding spaces we use and where it breaks down.

Monitoring and Data Quality

Catch quality changes as they happen: shifts in query and document distributions, embedding drift across model versions,



change-points in production metrics, and duplicate or near-duplicate content at scale.

Short, precise analyses that product, engineering and partners can act on. Lead with the answer, show the math, then say it in plain English, including what the data does not support. Depth of understanding and results you can show matter more than titles or years of experience. Deep Mathematical Foundations

Probability, statistics, linear algebra and optimization at the level of derivations and proofs, not just library calls. You Ship Working Code

You are fluent in Python with NumPy, SciPy and pandas, and you work in PyTorch or JAX. Your analyses are reproducible and tested, and they run in production, not only in a notebook.

You test before you claim, you measure before you optimize, and you flag what you are unsure about. You can explain a confidence interval to a non-technical partner and defend a modeling choice to a senior researcher, in plain words either way.

You have a graduate degree or research experience in mathematics, statistics, theoretical computer science, physics or a related field.

You have worked on information retrieval, ranking, recommender systems or search quality.

You have built evaluation, experimentation or A/B testing infrastructure for machine learning systems.

You have used Bayesian methods, causal inference, conformal prediction or sequential testing on real problems.

You have worked with Vertex AI, GCP or comparable cloud ML stacks.

You have public work we can look at: papers, open source, technical writing or competition results.

Before we act, we ask who it actually affects: a customer, a partner, a teammate or the communities we serve. We make the call, we move quick, and we hold a high bar for quality.

We work across teams, say what we actually think, and go out of our way to help each other succeed. We stay curious and keep learning, including how to use AI well.

We hold ourselves to the bar we're building toward: questioning our own assumptions and using AI to think better and move faster.

📌 Data Scientist Ml Ai Python (Noida)
🏢 Uplevyl
📍 Noida