Data Scientist

Job not on LinkedIn

🕒 April 29

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.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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AccelOne

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏗️ Construction

💰 $100k Seed Round on 2021-11

Consulting • Healthcare • Construction

AccelOne is your trusted partner for building secure, scalable technology solutions designed to transform businesses and drive growth. They offer a comprehensive approach that spans from strategy to delivery, focusing on planning, building, and running innovative digital solutions. Their services include AI, data, and custom software development tailored to industries such as Real Estate, Fintech, Healthcare & Pharma, and Construction & Development. AccelOne prides itself on providing expert guidance, ensuring seamless integration and strong communication, and empowering businesses for lasting success through secure, scalable, and efficient solutions.

📋 Description

• Design and deliver advanced analytical and machine learning solutions • Develop and deploy machine learning models for financial use cases • Perform exploratory data analysis on structured and unstructured datasets • Design scalable machine learning pipelines • Lead model validation and regulatory compliance • Present insights and recommendations to senior stakeholders

🎯 Requirements

• 8–10 years of experience for Senior Data Scientist role • 5–7 years of experience for Mid-Level Data Scientist role • Strong programming skills in Python (mandatory) • Optional knowledge in R or Scala • Experience with machine learning frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost • Familiarity with SQL, Spark, Hive, and Big Data ecosystems • Knowledge of cloud platforms such as AWS, Azure, Google Cloud Platform (GCP)

🏖️ Benefits

• Health insurance • Retirement plans • Professional development opportunities

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