You’ve always known data can do more than describe the past — it can rewrite the future. Here, you’ll wield one of the world’s richest health datasets to do exactly that.

You’ll transform massive biological signals into real-time products that delight users and lift outcomes. You’ll architect systems that breathe life into knowledge graphs, connecting people with insights, products, and coaching at the very moment of need.

Each day, you’ll see discoveries emerge — predictors of disease, early warning signals, and correlations never mapped before. You’ll take pride as automated pipelines generate manuscripts at a pace the world has never witnessed, expanding scientific horizons with your fingerprints on every page.

This is more than data science or product management — it’s legacy work. You’ll reshape the future of health, commerce, and knowledge itself.

Your next 5 minutes could land you in our top 5% shortlist — click Apply to start your application (a short, simple step to put you in the running) → https://www.surveymonkey.com/r/C8ZPDDH

Role Snapshot

Title: Senior Data Scientist, Product Manager (Real-Time / Knowledge Graphs & Automated Interlinking)
Location: Remote (India)
Purpose: Own and operate data products that connect petabyte-scale health datasets with real-world commercial and scientific impact.

Key Responsibilities

Architect real-time pipelines for continuous multimodal health data ingestion.
Build and maintain domain knowledge graphs linking biological, demographic, and commercial signals.
Apply Bayesian modeling and causal inference to uncover novel predictors and associations.
Stand up automated pipelines for research and publishing at scale.
Design and validate interlinking engines that connect content, commerce, labs, and coaching to drive measurable revenue uplift.
Ensure compliance with HIPAA, IRB, and reproducibility standards.
Deliver individualized, evidence-backed insights to end users.

Must-Have Qualifications

Proven end-to-end impact from large-scale ML/research pipelines.
Mastery in Bayesian modeling, causal inference, and probabilistic programming.
Expertise in knowledge graph design and large-scale data engineering.
Track record of converting data assets into measurable ROI.
Strong technical fluency (Python, SQL, PyTorch/TensorFlow, streaming, orchestration, graph DBs).

Preferred Qualifications

Graph ML and bandits for optimization.
Biomedical domain experience.
Literature mining and enrichment at scale.
Marketing science or uplift modeling background.

What We Offer

Opportunity to transform petabyte-scale health data into breakthroughs.
A global platform where your discoveries directly shape science and commerce.
Autonomy, ownership, and visibility from day one.

Honest Challenge

This role isn’t for dabblers. You’ll need to bridge product strategy, rigorous science, and massive-scale engineering — all while shipping results that matter in the real world.

READY TO JUMP IN?

Click Apply to start the short application (about 5 minutes; embedded step) → https://www.surveymonkey.com/r/C8ZPDDH

Important: Completing the embedded application step is required to be considered.

Mercola welcomes applicants of every background, identity, and life experience.