Description:

Role: Data Science Lead Match Intelligence & Behavioural Modelling

Location: Chennai

Experience: 68 Years

Type: Full-time Leadership

Reports To: CEO

Role Summary:

Were building the intelligence fabric of Indias next-gen matrimonial platform.

The Data Science Lead will transform human behaviour, cultural nuance, bio narratives, photos, chats, preferences, family expectations, and lifestyle signals into quantitative, predictive, and generative insights.

This role goes deep into:

- compatibility science

- culturally-aware modelling

- psychographic clustering

- classification systems for trust & intent

- explainable matchmaking

Think of this role as the platforms Chief Compatibility Scientist in the making.

Core Responsibilities:

1. Build Indias 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

- Familyculture 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

Youll 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

- Careermarriage 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 platforms 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 Youll 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.

Youll be shaping the science behind how Indian relationships form in the digital age.

Its equal parts:

- ML

- behavioural psychology

- cultural understanding

- experimentation

- product influence

- originality

A rare chance to create a new discipline: Indian Compatibility Intelligence.