Mid-Level Data Scientist

Job not on LinkedIn

🔥 16 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IEBT Innovation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🤝 B2B

☁️ SaaS

🏢 Enterprise

B2B • SaaS • Enterprise

IEBT Innovation is a Brazilian innovation accelerator and consultancy that provides end-to-end innovation and digital transformation services to corporations, governments, universities and ecosystems. It operates the ZING platform for managing innovation hubs, challenges and entrepreneurship programs, runs acceleration programs, evaluates startups, and helps partners capture funding and build digital solutions. With a team of ~180 innovation and technology professionals, IEBT focuses on corporate innovation, public-sector projects, capacity-building and technology-enabled program delivery.

📋 Description

• Explore, clean, and analyze large volumes of structured and unstructured data to identify patterns, anomalies, and opportunities • Develop, train, and validate predictive and prescriptive Machine Learning models • Create statistical analyses and hypothesis tests to validate business assumptions • Translate complex mathematical metrics into reports and dashboards for technical and non-technical stakeholders • Collaborate with data engineers to structure scalable pipelines • Deploy models to production following software engineering best practices • Write clean, modular, and testable code • Use Git for version control, participate in code reviews, and deploy models and data applications in collaboration with engineering and MLOps teams

🎯 Requirements

• Experience with Python (Pandas, NumPy, Scikit-Learn, SciPy) or R • Proficiency in data querying and manipulation tools: advanced SQL • Hands-on experience with Machine Learning and Deep Learning frameworks • Strong knowledge of Statistics (probability, regression, A/B testing) and Linear Algebra • Experience with data visualization tools (Power BI, Tableau, or Looker) • Experience with software engineering (Git, GCP and Azure cloud platforms, object-oriented programming)

🏖️ Benefits

• Health and dental insurance • Home office allowance • Meal allowance • Birthday day off • Health and wellness program • Individual Development Plan (IDP)