Data Scientist

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Fácil Assist

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤝 B2B

☁️ SaaS

B2B • SaaS

Fácil Assist is a Brazilian company founded in 2011 that provides 24-hour assistance services and BPO/call-center solutions to businesses and end customers. The company offers wide-ranging assistance lines—vehicle (roadside, towing, locksmith), residential and commercial (plumbing, electrical, appliance repair), and personal services (telemedicine, funeral, pet services, food card)—and operates a national network of registered service providers. Fácil Assist combines operational call centers and field networks with technology (FaSys CRM, omnichannel call center, WhatsApp bots, GPS tracking, mobile apps and API integrations), operates from São Bernardo do Campo and São Paulo, and emphasizes SLA/KPI-driven processes, LGPD-compliant data practices, and contingency/availability for continuous service. It was incorporated into Grupo HDI Brasil in 2023 and serves corporate clients with large volumes of beneficiaries and requests.

📋 Description

• Develop, train, and validate predictive and prescriptive models using Machine Learning algorithms and statistical techniques; • Perform exploratory data analysis (EDA) to identify patterns, opportunities, and trends; • Build and maintain structured, scalable data pipelines; • Clean, preprocess, and prepare large volumes of data from multiple sources; • Build and monitor performance metrics to evaluate deployed models; • Conduct statistical studies, simulations, and hypothesis testing to solve business problems; • Document processes, models, and methodologies developed; • Contribute to the continuous improvement of data policies, standards, governance, and data quality.

🎯 Requirements

• Degree in Data Science or a related field; • Hands-on experience with Python and ML libraries; • Proficiency in SQL and relational/non-relational databases; • Strong knowledge of applied statistics and regression/classification techniques; • Experience working with large volumes of data and structuring datasets; • Experience with Git and code versioning; • Familiarity with visualization tools (Power BI, Tableau, Looker); • Experience with Data Lakes, Data Warehouses, and modern data architectures; • Knowledge of natural language processing (NLP) and computer vision; • Experience with generative AI projects and large language models (LLMs); • Knowledge of MLOps, CI/CD, and model deployment; • Must reside in São Paulo.

🏖️ Benefits

• Health insurance; • Dental insurance; • Wellhub; • Meal or food allowance (meal voucher or food voucher); • Transportation voucher (commute allowance); • Profit-sharing (PLR); • Birthday day off; • Childcare or nanny assistance; • Life insurance; • Internal opportunities program.