Stensul

Senior Data Scientist

Stensul

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇦🇷 Argentina

Visit company website
✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AirflowGoPandasPythonScikit-LearnSQL

About the role

  • Designing, developing, and validating advanced statistical and machine learning models to solve high-impact business problems, such as churn prediction, customer lifetime value (CLV), and pricing elasticity.
  • Leading customer segmentation and cluster analysis initiatives to identify distinct customer groups and inform Go-to-Market (GTM) strategy and personalization efforts.
  • Building and deploying interactive data applications (e.g., dashboards, prediction interfaces) using tools like Streamlit, Dash, or Gradio to operationalize model insights and enable self-service consumption by business teams.
  • Exploring and experimenting with Natural Language Processing (NLP) and Large Language Models (LLMs) to analyze unstructured data (e.g., support tickets, sales notes, marketing copy) and derive actionable insights.
  • Collaborating with Data Engineers to ensure robust data pipelines and production-ready deployment of models within a stable MLOps framework.
  • Clearly communicating complex analytical findings, model methodologies, and business recommendations to both technical and executive stakeholders.
  • Own and lead end-to-end data science projects from problem definition to final deployment and monitoring in an autonomous way.
  • Proactively adding positive energy to our rapidly growing company.

Requirements

  • Advanced Modeling Expertise: Deep experience designing, implementing, and validating predictive models, including specific expertise in churn modeling, pricing optimization, and cluster/segmentation analysis (e.g., K-Means, DBSCAN, hierarchical clustering).
  • Programming & Statistics: Expert proficiency in Python (including packages like Scikit-learn, Pandas, Statsmodels) and SQL.
  • Data Application Development: Proven experience building and deploying interactive data applications or internal tools using frameworks like Streamlit, Dash, or Gradio.
  • NLP/LLMs (Desired): Practical experience with Natural Language Processing techniques (e.g., sentiment analysis, topic modeling, named entity recognition) and familiarity with architectures and use cases of Large Language Models (LLMs).
  • MLOps and Deployment: Familiarity with model versioning, testing, and deployment processes within an MLOps framework (e.g., using tools like MLflow, Airflow, or Kubeflow).
  • Statistical Rigor & Business Acumen: Strong ability to translate ambiguous business problems into well-defined analytical projects with measurable impact and communicate complex statistical concepts clearly.
  • Autonomous & Collaborative: Comfortable leading complex projects independently while effectively collaborating with Data Engineering, Product, and GTM teams.
Benefits
  • Competitive salary & benefits
  • Company laptop and phone reimbursement (if required)
  • Other awesome secret benefits we’ll tell you once you are on the team
  • Being a part of an amazing, inclusive team that lives by our shared values and is committed to building the next phase of stensul

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
statistical modelingmachine learningchurn modelingpricing optimizationcluster analysisPythonSQLNatural Language ProcessingLarge Language ModelsMLOps
Soft skills
communicationcollaborationautonomyproblem-solvingbusiness acumenanalytical thinkingleadershipcreativityadaptabilitypositive energy