Job Description
Founding Data Scientist / Quant Lead
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Tessembl | Founding Data Scientist / Quant Lead
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Location: [Mumbai / Hybrid]
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Type: Full-time
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Compensation: Competitive + meaningful ESOP
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Apply:
[email protected]
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About Tessembl
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Tessembl is an early stage workforce intelligence company building data driven tools to help organisations make better people and workforce decisions.
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We are combining behavioural science, workforce data, statistical modelling and machine learning to create a current generation of decision support software for organisations with large and distributed workforces.
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We are currently building our founding team and are looking for a founding quantitative hire who can help shape the scientific foundation of the company.
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The role
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We are looking for a Founding Senior Data Scientist / Quant Lead to lead the development of our analytical and statistical methodology.
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This is a hands-on founding role with significant influence over:
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- model design;
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- research methodology;
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- data architecture;
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- experimentation;
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- validation;
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- fairness;
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- product analytics.
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You will work directly with the founders, product team and behavioural-science specialists.
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What you will do
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- Design and develop statistical and machine-learning models for workforce decision support.
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- Analyse employee, organisational and operational datasets.
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- Develop robust approaches for prediction, ranking, benchmarking and longitudinal analysis.
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- Design experiments and validation frameworks.
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- Build appropriate measures of uncertainty and model confidence.
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- Work with behavioural and psychometric data.
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- Identify and control for confounding factors in real-world organisational datasets.
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- Conduct model calibration, fairness and bias analysis.
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- Develop methods for working with incomplete, noisy and heterogeneous enterprise data.
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- Collaborate with engineering to productionise models.
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- Translate complex analytical outputs into clear and explainable product insights.
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- Help establish Tessembl's scientific standards and research methodology.
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- Support early customer pilots and analyse real-world outcome data.
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What we are looking for
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- Strong background in statistics, data science, econometrics, quantitative psychology, applied mathematics or a related discipline.
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- Strong Python and/or R capability.
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- Excellent understanding of regression, classification and predictive modelling.
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- Experience with model validation and out-of-sample testing.
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- Ability to work with messy real world datasets.
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- Robust understanding of correlation, causation and confounding.
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- Familiarity with longitudinal or panel data.
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- Ability to communicate quantitative findings clearly to non-technical stakeholders.
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- Intellectual curiosity and willingness to challenge assumptions.
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Particularly valuable experience
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Experience in one or more of the following would be useful:
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- multilevel or hierarchical modelling;
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- survival analysis;
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- Bayesian methods;
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- causal inference;
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- psychometrics;
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- workforce analytics;
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- behavioural science;
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- recommender or matching systems;
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- explainable AI;
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- bias and fairness testing.
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Why join
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This is an opportunity to join at the beginning and help shape:
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- the scientific architecture;
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- the company's research agenda;
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- the data strategy;
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- future model development;
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- the eventual data-science team.
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We are looking for someone who wants to build the analytical foundation of a company, not simply maintain an existing model.
📌 Data Scientist (Mumbai)
🏢 Tessembl
📍 Mumbai