Remote Senior Data Scientist

Placements24; Kimberley; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Bonuses

Health insurance

Paid time off

Remote work flexibility

Professional development budget

Impactful projects

Job summary

Placements24 is seeking a remote Senior Data Scientist to join our globally distributed team focused on the Oil & Gas sector. You will extract insights from complex datasets, build predictive models, and drive data-driven decisions across the organization.

You will apply advanced statistical methods, machine learning algorithms, and data mining techniques, collaborating with stakeholders to translate needs into scalable data science solutions while staying current with industry advances.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist in the Oil & Gas sector or a related industry.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.

Responsibilities

• Design, develop, and implement machine learning models and algorithms for predictive analytics and pattern recognition.
• Clean, process, and transform large, complex datasets from various sources.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Communicate findings and recommendations effectively through visualizations and reports.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Skills

Statistical modeling

ML concepts

Remote collaboration

Problem solving

Communication

Teamwork

Education

Master's or PhD in Computer Science/Statistics/Mathematics or related quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL

Job description

About the Role

Our client is seeking a talented and innovative Remote Senior Data Scientist to join their globally distributed team. This role is central to extracting valuable insights from complex datasets, developing predictive models, and driving data-driven decision-making across the organization. You will leverage advanced statistical techniques, machine learning algorithms, and data mining methods to solve challenging problems within the Oil & Gas industry. This is a unique opportunity to work remotely and contribute to cutting-edge analytics initiatives.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms for predictive analytics and pattern recognition.
• Clean, process, and transform large, complex datasets from various sources.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Communicate findings and recommendations effectively through visualizations and reports.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist in the Oil & Gas sector or a related industry.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Deep understanding of statistical modeling, machine learning techniques, and data mining.
• Excellent problem-solving, communication, and collaboration skills, especially in a remote setting.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and remote work flexibility.
• Professional development budget for courses and conferences.
• Opportunity to work on impactful projects from anywhere, contributing to the future of energy analytics.