Data Scientist

🕒 May 27

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 38%

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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Ambush

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Ambush is a People Company that specializes in identifying, retaining, and integrating highly-talented remote designers and engineers into teams across various sectors. With almost a decade of experience, Ambush focuses on building long-term, dedicated partnerships, providing clients with exceptional software development and design services. The company prides itself on its human-centered approach, remote team integration, and commitment to quality, making it a trusted partner for organizations in the financial, medical, and privacy sectors.

📋 Description

• Build, validate, and deploy statistical and machine learning models (e.g. anomaly detection, fraud detection, clustering, NLP, generative AI). • Experiment with advanced techniques (e.g. graph neural networks, LLMs, deep learning) to push the boundaries of what data can deliver. • Collaborate with engineering, product, and business teams to translate strategic questions into data-driven solutions. • Contribute to architectural discussions on scalable, production-ready ML systems. • Share your knowledge with a team of passionate engineers and help foster a culture of agile, data-driven decision-making.

🎯 Requirements

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL. • Proven experience in Data Science, Data Analysis, or related roles. • Solid foundation in statistics, data modeling, and applied machine learning. • Hands-on experience with cloud platforms (AWS preferred: SageMaker, Lambda, RDS, S3). • Ability to communicate insights clearly to both technical and non-technical stakeholders. • Experience with version control (Git) and modern development practices. • Excellent English communication.

🏖️ Benefits

• Health insurance • Flexible work arrangements