Senior Data Scientist

Sólides

Senior Data Scientist leading end-to-end development of machine learning for talent management at Sólides. Collaborating with product and engineering teams to integrate data solutions.

Posted 7/22/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science projects, developing and refining Machine Learning models, and ensuring model quality and governance. Proficient in Python, SQL, and cloud environments, with strong analytical skills to translate business challenges into effective data solutions.

Highest-signal resume keywords

Data Science Project LeadershipMachine Learning Model DevelopmentAdvanced Python ProficiencySQL Data ManipulationCloud Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisApplied StatisticsPredictive ModelingHypothesis TestingNatural Language ProcessingRecommendation SystemsMLOps PracticesData GovernanceBias Mitigation

Soft Skills

Analytical AbilitiesCommunication SkillsMentoring

Tools & Technologies

PandasNumPyScikit-learnXGBoostLightGBMAWSGCPGitMLflowKubeflow

Certifications & Qualifications

Master's DegreePhD

Industry Keywords

SaaSHR TechPeople Analytics

Tech Stack

Tools & technologies

AWSGoogle Cloud PlatformNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Lead the full lifecycle of data science projects, from understanding the business pain point to deploying and monitoring models in production;
Develop and refine Machine Learning models (supervised and unsupervised) applied to recruitment, selection, retention and engagement;
Conduct complex exploratory analyses to identify patterns and hidden opportunities in user behavior;
Collaborate closely with Product and Engineering teams to integrate data solutions directly into the platform;
Ensure model quality and governance, focusing on bias mitigation and explainability (XAI);
Mentor more junior team members, promoting best practices in coding, experimentation and scientific rigor;
Communicate technical findings clearly and strategically to stakeholders across different areas of the company.

Requirements

What you’ll need

Solid experience in Data Science projects at a senior level, preferably in product (SaaS) environments
Advanced proficiency in Python and its main libraries (Pandas, NumPy, Scikit-learn, XGBoost/LightGBM)
Advanced SQL for manipulating large volumes of data and extracting insights
Deep knowledge of applied statistics, hypothesis testing and predictive modeling
Experience with cloud environments (AWS or GCP) and version control tools (Git)
Strong analytical abilities and ease translating business problems into data solutions.
Nice to have:
Experience with Natural Language Processing (NLP) and LLMs (Generative AI)
Experience with recommendation systems
Knowledge of MLOps practices (MLflow, Kubeflow or similar)
Previous experience in HR Tech or People Analytics
Master's or PhD in quantitative fields (Statistics, Mathematics, Computer Science, Engineering).

Benefits

Comp & perks

Meal allowance / food voucher of R$45.00 per business day (Sólides Benefits Card)
Transportation voucher or fuel allowance
Unimed health plan with copayment, no monthly fee
OdontoPrev dental plan, fixed monthly fee of R$21.91
Therapy: partnership with Psicologia Viva — 3 free sessions per month
Online courses ranging from Culinary Arts to Postgraduate (Qualifica)
Access to all courses from Escola de Pessoas
Home office allowance of R$60.00 (Sólides Benefits Card)
English course (English Pass)
Amenities (on-site manicure, balanced snacks, and more)
Day off in your birthday month
TotalPass
Childcare assistance — for parents with children up to 3 years and 11 months
Assistance for dependents with special needs (also extended to parents)
Ânima ecosystem partnership (discounts on undergraduate and postgraduate courses at institutions within the group)
Partnerships with OnHappy and SESC
Very flexible dress code.