Senior Data Scientist

Madfish; Deutschland; Remote; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading energy sector company is seeking experienced professionals to join their data science team. The role focuses on developing data-driven solutions for the oil and gas industry using advanced machine learning techniques. Candidates should have extensive experience in applied data science, particularly with Python and various data science tools. Remote work is available from select countries including Bulgaria and Poland. This is a dynamic environment where continuous learning and innovation are key components.

Qualifikationen

• 6+ years of experience in applied data science roles.
• Fluent in English.
• Experience in generative AI, LLMs, and advanced NLP techniques.

Aufgaben

• Develop data-driven solutions using machine learning for the oil and gas sector.
• Implement data security and compliance practices.
• Perform exploratory data analysis to uncover trends.

Kenntnisse

Python and ML libraries

Data visualization tools

SQL and NoSQL databases

Communication skills

Machine learning techniques

Tools

Matplotlib

TensorFlow

Keras

MLflow

Docker

Kubernetes

Jobbeschreibung

Our client is a global leader in the energy sector, specialising in both subsea and surface technologies. Their mission is to enhance the performance of the world’s energy industry. They achieve this by constantly challenging conventions and investing in over 20,000 employees across 48 countries. The company strives to provide an inspiring work environment, tackling some of the world's most complex technical and engineering challenges in collaboration with a truly global team.

Requirements

• 6+ years of experience in applied data science roles
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, Keras)
• Proficient use of core data science libraries such as scikit-learn, NumPy, and Pandas
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, or Tableau)
• Experience with SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, and Cassandra
• Experience with generative AI, foundation models, and LLMs
• Experience with advanced techniques in Natural Language Processing (NLP), Deep Learning, and leveraging AutoML
• Experience with statistical methods in the data science workflow
• Experience with applying machine learning to develop solutions for the oil and gas industry
• Designing and applying machine learning models for diverse data types, including tabular, unstructured (e.g., text, images), and time-series data
• Excellent communication skills and the ability to translate complex data into actionable business insights.
• Ability to evaluate and direct technical work performed by junior data scientists

Nice to have

• Experience in R, SQL, or Scala

English level Fluent

Responsibilities

• Develop data-driven solutions using machine learning to provide useful insights and solve complex challenges in the oil and gas sector
• Work with various machine learning and data science methods (unsupervised learning, deep learning, NLP, and time series analysis) and manage the machine learning lifecycle using tools like MLflow, Docker, and Kubernetes
• Implementing data security and compliance practices, especially relevant to regulated industries like oil and gas
• Applying structured problem-solving and continuous improvement methodologies such as Plan-Do-Check-Act (PDCA)
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and key findings that guide model design.
• Use industry knowledge to choose the most suitable analytical approaches.
• Build reliable models through careful testing, validation, and performance checks.
• Help deploy and maintain machine learning models in production systems.
• Present insights and results clearly to both technical teams and non-technical audiences
• Ensuring code quality using tools like SonarQube and adhering to software engineering best practices
• Drive innovation by mentoring junior scientists and introducing cutting-edge techniques and frameworks

Location - remote from Bulgaria, Lithuania, Poland, Romania