Data Scientist People Analytics (AutoPH Team)
The Mission
We are redefining how performance is measured and rewarded. As a Data Scientist within the AutoPH Strategy Team, you won't just be analyzing datayou will be architecting the algo that drives our next-generation Performance Management System.
Contributing directly to the CEO's strategic vision, you will engineer the correlation between behavioral inputs and business outputs, and build the algorithms that ensure our organization remains a meritocratic, high-growth environment.
What You'll Do
1. Algorithm Engineering & PMS Innovation
- The AutoPH Engine: Own the statistical logic behind our Autonomous Performance@ HighRadius system. You will design, test, and iterate on algorithms that balance Output (results), Input (effort), and Culture KPIs.
- Model Evolution: You will critically evaluate our AutoPH logic and identify where our measurement systems lack precision. You will engineer the enhancements required to make our performance algorithms mathematically sound and bridge the gap between what we currently track and what we actually aim to measure.
- Predictive talent strategy: Move from reactive reporting to proactive intervention. You'll implement ML frameworks (Time Series, Clustering, LLMs among others) to predict talent density, flight risks, and high-potential trajectories.
- From Concept to Code: Write production-grade Python to transition theoretical HR models into deployable ML APIs that integrate seamlessly with our business stack.
2. Statistical Rigor & Correlation Research
- Cracking the Input/Output Code: - You will apply advanced statistical methods (correlation studies, causal inference, multivariate analysis among others) to prove (or disprove) which effort metrics actually move the needle on business outputs.
- Bias Mitigation: Use advanced normalization and cohort analysis to eliminate noise and systemic bias in performance grading, ensuring a level playing field for every employee.
- Data Integrity: Define the taxonomy for performance data. You'll ensure that our data architecture is clean, scalable, and audit-ready.
3. Productized Analytics & Storytelling
- Insight Systems: Don't just build reportsbuild products. Architect scalable, intuitive Power BI/Tableau dashboards that allow leaders to self-serve insights.
- Narrative Building: Translate high-dimensional math into low-friction business narratives for the C-suite. You are the bridge between raw data and strategic execution.
What You Bring
- The Toolkit: Professional-level mastery of Python and SQL. Deep experience with the modern ML stack (Scikit-learn, TensorFlow/PyTorch) and BI tools (Power BI/Tableau).
- The Experience: 5+ years in Data Science, with at least 2-3 years embedded in People Analytics or Talent Product environments. You understand the nuances of human data.
- The Product Mindset: You've moved past simple data requests. You have experience identifying pain points in a system (like a legacy PMS) and engineering a technical solution to fix them.
- Mathematical Grit: You are comfortable with complex variables, cohort normalization, and the challenge of quantifying the unquantifiable aspects of human performance.
Why This Role
- High Visibility: This isn't a back-office HR role. You are building a core piece of our company's operating system under a CEO-led initiative.
- Complexity: You'll be dealing with one of the hardest data problems: predicting and optimizing human behavior at scale.
- Autonomy: We value scientific objectivity. You are expected to challenge the status quo if the data suggests a better way forward.
If you want a highvisibility, highimpact role - let's connect.
Share your profile or reach out at [Confidential Information]
