Senior Data Scientist

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We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. Our people are ambitious, collaborative, and constantly evolving.

Our client is a global leader in the energy sector, specializing 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.

• 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.
• Implement data security and compliance practices, especially relevant to regulated industries like oil and gas.
• Apply 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.
• Ensure code quality using tools like Sonar Qube and adhere to software engineering best practices.
• Drive innovation by mentoring junior scientists and introducing cutting‑edge techniques and frameworks.

• 6+ years of experience in applied data science roles.
• Proficiency in Python and ML libraries (scikit‑learn, Tensor Flow, Keras).
• Proficient use of core data science libraries such as scikit‑learn, Num Py, and Pandas.
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, or Tableau).
• Experience with SQL and No
  
  SQL databases, including MySQL, Postgre
  
  SQL, Mongo
  
  DB, 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.

Experience in R, SQL, or Scala

Fluent

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
• Please note:
  
  this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.

• International projects
• In‑office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
• Well‑being program
• Team events & local benefits
• Sports compensation
• Referral bonuses
• Top‑tier equipment provision

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Mid‑Senior level

Contract

Engineering and Information Technology

IT Services and IT Consulting, Information Services, and Software Development