About The Company Tessembl is an innovative early-stage workforce intelligence company dedicated to developing data-driven tools that empower organizations to make more informed decisions regarding their people and workforce management. By integrating behavioral science, workforce data, advanced statistical modeling, and machine learning, Tessembl aims to create next-generation decision support software tailored for organizations with large and distributed workforces.

Our mission is to transform workforce analytics through scientific rigor and cutting-edge technology, enabling organizations to optimize talent management, enhance productivity, and foster a data-centric culture. As we build our founding team, we are committed to establishing a strong scientific foundation that will underpin our innovative solutions and drive meaningful impact across industries.

About The Role We are seeking a highly skilled Founding Data Scientist / Quantitative Lead to spearhead the development of our analytical and statistical methodologies. This is a foundational, hands-on role with significant influence over model design, research methodology, data architecture, experimentation, validation, fairness, and product analytics.

The successful candidate will work directly with the founders, product teams, and behavioral science specialists to shape the scientific direction of Tessembl. This role offers a unique opportunity to build the core analytical framework of the company from the ground up, ensuring that our products are grounded in robust scientific principles and innovative analytical techniques. The ideal candidate will have a passion for building scalable, explainable, and fair models that can be applied to complex organizational data, ultimately helping organizations better understand and manage their workforce.

Qualifications The ideal candidate should possess a strong background in statistics, data science, econometrics,



quantitative psychology, applied mathematics, or a related discipline. Proficiency in Python and/or R is essential, along with a solid understanding of regression, classification, and predictive modeling techniques.

Experience with model validation, out-of-sample testing, and working with messy, real-world datasets is highly desirable. Candidates should have a strong grasp of correlation, causation, and confounding factors, as well as familiarity with longitudinal or panel data. Excellent communication skills are necessary to translate complex analytical insights into clear, actionable outputs for non-technical stakeholders.

An innate curiosity, willingness to challenge assumptions, and a collaborative mindset are critical for success in this pioneering role.

Responsibilities

- Design and develop advanced statistical and machine learning models to support workforce decision-making processes.
- Analyze diverse employee, organizational, and operational datasets to extract meaningful insights.
- Create robust prediction, ranking, benchmarking, and longitudinal analysis frameworks.
- Design experiments and develop validation protocols to ensure model reliability and accuracy.
- Develop measures to quantify uncertainty and confidence in model outputs.
- Work with behavioral and psychometric data to inform model development.
- Identify and mitigate confounding factors within complex organizational datasets.
- Conduct calibration, fairness, and bias analyses to promote ethical and equitable models.
- Develop strategies for handling incomplete,



noisy, and heterogeneous enterprise data sources.
- Collaborate with engineering teams to productionize models, ensuring scalability and robustness.
- Translate complex analytical results into clear, explainable insights for product and business teams.
- Help establish and uphold scientific standards and research methodologies within the company.
- Support early customer pilots, analyzing real-world data to refine models and strategies.

Benefits Joining Tessembl provides a unique opportunity to be part of a pioneering organization at its inception, shaping the scientific and technological foundation of the company. We offer a competitive salary complemented by meaningful Employee Stock Ownership Plan (ESOP), allowing you to share in the company’s growth and success. This role provides significant professional growth opportunities, including influence over product development, research direction, and data strategy. You will work closely with a talented team of founders, data scientists, and behavioral experts, fostering an environment of innovation, collaboration, and continuous learning. Additionally, Tessembl supports adaptable working arrangements, professional development, and a culture committed to scientific excellence and ethical AI practices, ensuring your work makes a tangible impact on the future of workforce analytics.

Equal Opportunity

Tessembl is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. We believe that a diverse team brings unique perspectives and drives innovation, and we are dedicated to creating an environment where everyone feels valued, respected, and empowered to contribute to our shared mission.

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