DESCRIPTION
Join our dynamic team as a Data Science Engineer!
At EPAM, we don't just offer jobs; we provide opportunities for growth, learning, and creating a legacy. If you're fueled by ambition, creativity, and a desire to be part of something extraordinary, we want to hear from you!
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
RESPONSIBILITIES
Increasing production by maximizing pump, well, and field level performance and production outcomes
Reducing lifting costs by consuming fewer resources and minimizing repair or workover costs
Achieving emission goals by optimizing power consumption and increasing efficiency of operations
Conducting data analysis and providing data-driven insights to support decision-making processes
Developing machine learning models using Amazon SageMaker and other machine learning tools
REQUIREMENTS
Experience in conducting data analysis and providing data-driven insights
Experience in developing machine learning models using Amazon SageMaker and other machine learning tools
Ability to collaborate with team members from various disciplines such as data engineering, software engineering, and product management
Ability to provide technical support to non-technical stakeholders and users to ensure data accuracy and consistency
TECHNOLOGIES
AWS SageMaker
Data Modeling
Testing
ML Models
SQL
ML Tools
WE OFFER
Career plan and real growth opportunities
Unlimited access to LinkedIn learning solutions
International Mobility Plan within 25 countries
Constant training, mentoring, online corporate courses, eLearning and more
English classes with a certified teacher
Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
Flexible work schedule and dress code
Collaborate in a multicultural environment and share best practices from around the globe
Hired directly by EPAM & 100% under payroll
Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
13 % employee savings fund, capped to the law limit
Grocery coupons
30 days December bonus
Employee Stock Purchase Plan
12 vacations days plus 4 floating days
Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more
Monthly non-taxable amount for the electricity and internet bills
CONDITIONS
By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice ( https://www.epam.com/applicant-privacy-notice ) and Policy ( https://www.epam.com/privacy-policy )EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.
At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.