Senior Data Scientist

Job not on LinkedIn

🕒 August 21

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 43%

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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Matrix Global

WebsiteLinkedInAll Job Openings

51 - 200 employees

📦 Logistics

💼 Consulting

🍽️ Food & Beverage

Logistics • Consulting • Food & Beverage

Matrix Global is a company that revolutionizes the way the oil and gas industry transacts by providing a sophisticated auction platform for storage and pipeline capacities. Their proprietary MAP platform enhances transparency and competition within the midstream sector, allowing businesses to optimize storage transactions and manage risks effectively through both short-term and long-term contracts. By collaborating with industry leaders, Matrix Global offers strategic opportunities for storage providers and energy companies, fostering a dynamic marketplace for oil and gas transactions.

📋 Description

• Understand client data and perform data cleaning and preprocessing • Develop and tune fraud detection and machine learning models • Collaborate with Product and Research teams and external clients • Understand business objectives and ensure client success • Provide technical guidance and drive project execution • Build scalable data pipelines and prototypes • Contribute to solution development and generalized product enhancements • Keep up with fraud prevention trends • Communicate complex findings and strategies to technical and non-technical audiences

🎯 Requirements

• Strong proficiency in Python • Proficiency with NumPy, Pandas, SciPy, and scikit-learn • Experience with distributed computing tools such as PySpark • Expertise in machine learning concepts and algorithms • Experience with data cleaning and preprocessing • Experience with feature engineering • Experience building scalable data pipelines, including Airflow and Trino • Excellent verbal and written communication skills • Strong analytical and problem-solving skills • A degree in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or a related area is often required

🏖️ Benefits

• Competitive compensation and benefits • Meaningful career development opportunities • Continuous learning and growth opportunities • Diverse, inclusive culture • Collaboration opportunities • Work with a talented global team • Meaningful technical initiatives