Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

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.Why this score:

• Just posted.
• Jobs at this company usually fill in 25 days.
• 29 open roles for a team of 30.
• No salary listed.

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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

• Work with client data to develop and implement fraud detection models • Perform data cleaning, preprocessing, feature engineering, and model tuning • 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

• Senior-level data science experience • Strong proficiency in Python • Experience with NumPy, Pandas, SciPy, and scikit-learn • Expertise in machine learning concepts and algorithms • Experience with distributed computing tools such as PySpark • Experience with data cleaning and preprocessing • Experience with feature engineering • Experience building scalable data pipelines, such as with Airflow and Trino • Strong analytical and problem-solving skills • Excellent verbal and written communication skills • 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 • Diverse, inclusive culture • Continuous learning and growth • Challenging and engaging work environment • Collaboration opportunities with a talented global team • Opportunity to contribute to meaningful technical initiatives • Opportunity to help shape a high performing DevOps culture

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