Back to SearchSenior Data Scientist for an Energy Company
Sorry, this position is no longer available
We are currently looking for a Senior Data Scientist with 4+ years of experience in Data Science projects to join our team.
The customer operates as an oil and gas company. The Company provides exploration, extraction, and processing of gas, oil, and other products. It serves clients worldwide.
Responsibilities
- Develop and Maintain Machine learning and Data Science Models to address the business challenges
- Create scalable data science products from the ground up
- Take ownership of the quality of the product
- Build the product road map and develop ideas to solve business problems
- Suggest the data requirements, explore data, and seek the support of data engineers on the data needs and work with multiple teams, systems, and products
Requirements
- 4+ years of experience in Data Science projects
- 2+ years of relevant experience in end to end data science product development
- Completed minimum 1-2 data science projects end to end
- Hands-on experience in creating data science solutions for business problems
- Deployed ML/AI 2 to 3 products in the cloud platform like AZURE/AWS/GCS
- Knowledge of advanced machine learning models and methodologies such as classification, regression and clustering algorithms, decision trees, PCA
- Proficient in data science libraries and functions
- Proven experience in Time series data science modeling
- Knowledge of SQL
- Familiar with Python
- Proficient English (written and spoken) B2
Nice to have
- Additional diploma or professional degree in data science and analytics
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn