Senior Data Scientist
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Job Description
Data Scientist developing analyses and models for SaaS products in construction and compliance sectors. Collaborating with operations to transform customer behavior data into business decisions.
Responsibilities:
- Transform structured and unstructured data into actionable insights through statistical analysis and machine learning models;
- Develop, train, validate, and deploy predictive models with statistical rigor;
- Implement and maintain MLOps practices (versioning, deployment, monitoring, and observability);
- Collaborate with Data Engineering to ensure scalable, governed, and efficient pipelines;
- Present analytical results clearly to technical and non-technical stakeholders, connecting metrics to business impact;
- Digital mindset, curiosity about new technologies, and an interest in understanding how Artificial Intelligence can transform processes, experiences, and outcomes.
Requirements:
- Experience as a Data Scientist or senior Data Analyst, with a strong foundation in Statistics, Probability, and Machine Learning;
- Proficiency in Python for data analysis and modeling (Pandas, NumPy, Scikit-learn or similar);
- Experience applying analytical or predictive modeling to real business problems;
- Familiarity with product or SaaS metrics (e.g., churn, LTV, CAC, retention, cohorts, funnel, recurring revenue);
- Knowledge of SQL and data manipulation in relational databases;
- Knowledge of or interest in Artificial Intelligence technologies: tools, applications, and concepts.
Benefits:
- Meal allowance / food voucher;
- Health and dental insurance;
- Home office stipend;
- Profit sharing (PLR);
- Voucher for setup kit;
- Life insurance;
- Birthday day off;
- GoGood | Nav;
- Health and wellness promotion program;
- Partnerships and discounts.
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