Data Science Lead – Match Intelligence & Behavioural Modelling

Role: Data Science Lead – Match Intelligence & Behavioural Modelling

Location:

Experience:

Type:

Reports To:

Role Summary:

human behaviour, cultural nuance, bio narratives, photos, chats, preferences, family expectations, and lifestyle signals

This role goes deep into:

compatibility science

culturally-aware modelling

psychographic clustering

classification systems for trust & intent

explainable matchmaking

Chief Compatibility Scientist

Core Responsibilities

1. Build India’s Compatibility Science Framework

Create models that answer:

• Who aligns with whom?

• Why?

• What behavioural patterns predict lasting compatibility?

Includes:

• Values mapping

• Lifestyle alignment modelling

• Communication style patterning

• Family–culture compatibility scoring

• Relationship trait clustering

This is the soul of the product.

2. Predictive Behavioural Modelling

Create models that can forecast:

• Likelihood of interest

• Likelihood of response

• Likelihood of continued engagement

• Match success probability

• Drop-off risks

• Nudges vs conversion responsiveness

You’ll be the “behaviour whisperer” behind the platform.

3. Advanced Recommendation Science (Beyond Engineering)

Unlike the Tech Lead, you focus on:

• Feature importance

• Algorithm selection

• Embedding experimentation

• Graph-based match networks

• Sequence-based learning

• Counterfactual analysis

• Novel ranking strategies

• Bias, fairness & explainability

Your world is hypotheses, experiments, and model uplift.

4. NLP + Interpretation of Human Expression

Turn text into meaning:

• Bio interpretation

• Communication style scoring

• Intent classification

• Safety/tone modelling

• “Rishta readiness” scoring (career, maturity, expectations)

• Parent-friendly compatibility narratives

5. Psychological & Cultural Signal Modelling

Deep India-specific context:

• Community/culture match signals

• Family flexibility indices

• Regional & language influence

• Lifestyle archetypes

• Career–marriage expectation compatibility

This role needs someone who enjoys quantifying the unquantifiable.

6. Decision Science + Experimentation Leadership

You will own:

• Match funnel metrics

• Cohort analysis

• Survivorship curves

• A/B framework & causal inference

• Early indicators of match formation

• Identifying what creates trust vs drop-off

7. Cross-functional Influence

• Teach product & design how behaviour works

• Convert scientific insights into user-facing features

• Mentor ML engineers & DS associates

• Lend scientific legitimacy to the platform’s matchmaking claims

Skills & Requirements

Core Technical Strengths

• Machine learning (advanced)

• NLP, embeddings, transformers

• Predictive modelling & time-series

• Causal inference & experimentation

• Statistics & probabilistic modelling

• Clustering, segmentation & graph methods

• Python, PyTorch/TensorFlow

• SQL + data wrangling excellence

Distinct Expertise for THIS Role

• Behavioural science + data modelling

• Experience with matchmaking, dating, social graphs, or psychometrics (big bonus)

• Comfort blending quantitative signals with qualitative nuance

• Familiarity with fairness, bias reduction & explainable AI

Mindset

• Loves questions without obvious answers

• Comfortable building theory + testing hypotheses

• Thinks in distributions, not absolutes

• Curious about culture, psychology, and human relationships

• Presents science with clarity & storytelling

What You’ll Directly Build

A suite of proprietary intelligence assets such as:

• Compatibility constellation frameworks

• Multi-factor behavioural prediction engine

• Community & culture influence models

• Family alignment scoring

• Trust & authenticity indices

• Explainable matchmaking narratives

• Safety & tone classifiers

• “Why this match?” algorithmic transparency

• Relationship readiness scoring

• Engagement uplift nudges backed by causal inference

This is intellectual craftsmanship with real human impact.

Why This Role Is Special

This is not a traditional corporate DS role.

You’ll be shaping the science behind how Indian relationships form in the digital age.

It’s equal parts:

• ML

• behavioural psychology

• cultural understanding

• experimentation

• product influence

• originality

Indian Compatibility Intelligence