Job Summary:

• We are seeking a highly skilled Machine Learning Specialist to join our forward-thinking team in the oil and gas sector.
• The ideal candidate will be instrumental in researching, transforming, and implementing advanced data science prototypes, working closely with cross-functional teams to deliver cutting-edge machine learning solutions. Your responsibilities will include designing, developing, integrating, and optimizing ML systems and algorithms.

Resposibilities:

• Conduct data analysis and modeling to derive actionable insights.
• Develop and deploy predictive and prescriptive models in a controlled environment.
• Apply a deep understanding of machine learning algorithms and techniques.
• Continuously explore and implement state-of-the-art ML approaches.
• Perform advanced data preprocessing and cleaning.
• Implement feature engineering and transformation.
• Ensure data quality and consistency.
• Create informative and visually appealing data visualizations.
• Communicate findings to both technical and non-technical stakeholders.
• Document data sources, preprocessing steps, and model development processes.
• Create clear and organized documentation for projects.
• Apply domain-specific knowledge to solve industry-specific challenges.
• Understand and align data science solutions with business objectives.
• Collaborate with cross-functional teams, including data engineers and business analysts.
• Stay updated with the latest data science trends and technologies.
• Identify opportunities to improve data science processes.
• Ensure data privacy and adhere to ethical data handling practices.
• Encourage continuous learning, knowledge sharing and skill development among team members.
• Handling incoming requests from other departments.

Requirements:

• BSc/BA in Computer Science, Computer Engineering, Math or relevant field; graduate degree in Data Science or another quantitative field or equivalent experience.
• Proven experience as a Data Scientist (minimum 2 year)
• Fluent Azeri and English, Russian is a plus.
• Moderate experience of statistical methods and hypothesis testing.
• Proficiency in building predictive and prescriptive models.
• Mastery of machine learning algorithms and techniques.
• Distributed computing and parallel processing for large-scale data analysis.
• Proficiency in SQL for querying and manipulating relational databases.
• Expertise in programming languages such as Python and R.
• Ability to develop production-ready code and scripts.
• Proficiency in using version control systems like Git for code management and collaboration.
• Experience in model experiments tracking tools (e.g., MLflow).
• Knowledge of containerization (e.g., Docker).
• Knowledge of CI/CD pipelines and automated testing for data science projects.
• Strong collaboration skills to work with cross-functional teams.
• Effective communication skills to explain complex technical concepts to non-technical stakeholders.
• Storytelling with data to communicate findings effectively.
• Teamwork, problem-solving attitude, business understanding, critical thinking, investigation skills, innovative thinking

Preferred Qualifications

• Experience in neural networks and deep neural architectures.
• Knowledge of NoSQL databases (e.g., MongoDB, Cassandra).
•  Knowledge of orchestration tools (e.g., Kubernetes).

We offer

• 5/2, 09.00-18.00;
• Meal allowance;
• Annual performance bonuses;
• Corporate health program: VIP voluntary insurance and special discounts for gyms;
• Access to Digital Learning Platforms.

Note: Only candidates who meet the requirements of the vacancy will be contacted for the next stage.