Data Scientist

Responsible for developing ETK's high-priority Analytics capabilities. Focus on GenAI, graph, and neural net solutions.

Key Responsibilities

• Perform exploratory analysis to refine preliminary hypotheses and support decision-making.
• Develop user-friendly interfaces that visualize insights for business stakeholders.
• Provide expertise in statistical, mathematical, and machine learning concepts, and validate cutting-edge algorithms and predictive models.
• Ensure disciplined governance and quality assurance across all projects, promoting adherence to standardized processes, systems, and tools.
• Provide training and development to maintain high levels of expertise within the team.
• Engage with clients and stakeholders to enhance their understanding of data analytics and address key issues.
• Disseminate results to foster data-driven decision-making within the organization.
• Capture and record intellectual property generated from analytical approaches.

Qualifications and Skills

• Masters or PhD in Geosciences, Mathematics, Statistics, Computer Science, or a related quantitative field, with 5+ years of experience in data science projects (preferably with agile methodologies).
• Proficient in Python (knowing R would be a plus) for data processing, statistical analysis, modeling, machine learning, and visualization.
• Skilled in SQL for querying databases and handling large datasets.
• Experience with machine learning libraries and tools like Xarray, Sci-kit Learn, NumPy, Pandas, TensorFlow, Keras, or similar.
• Competent in visualizing data using tools such as Matplotlib, Seaborn, Plotly, Tableau, D3, or similar.
• Experience with cloud platforms (AWS S3, AWS SageMaker, or Azure) is preferred.
• Familiarity with solving spatial or geoscientific problems is an advantage.
• Familiarity with using graph-based solutions is an advantage.