Job Description

ead Data Scientist Would you like to shape the future of energy technology? Do you enjoy being part of a successful team? Join our Team As an energy technology company, Baker Hughes is leading at the tech edge, developing and delivering technologies that will improve outcomes for our customers. The BakerHughesC3.ai (BHC3) joint venture alliance is leading the development and deployment of AI/ML products and solutions for the oil and gas industry and enabling digital transformation working closely with our customers. BHC3 technology and services team consists of domain experts, data scientists, machine learning engineers, software engineers and architects who collaborate to solve the most critical problems in oil & gas industry. Learn more at BakerHughesC3.ai. Partner with the best The Lead Data Scientist will work closely with other data scientists and analytics engineers as part of a cloud analytics team that will be responsible for curating and analyzing large sets of business and operations data of customers across several industry verticals. This is an opportunity to make an impact across multiple industries in a fast-paced environment where rapid prototyping and experimentation are prized. As a Lead Data Scientist, you will be responsible for: Designing and deploying Machine Learning algorithms to solve key problems such as anomaly detection for system reliability, predictive maintenance, process optimization, domain-specific language models, and production optimization etc. Collaborating with data and subject matter experts from BHC3 and its customers to seek, understand, validate, interpret new data elements. Setting up and promoting rigorous processes for code review, data quality assessment and engineering reviews. Presenting projects plans, technical roadmaps, risks and recommendations to senior business leaders within technical space and occasionally to senior leaders in partner technical teams. Tracking, sharing and disseminating state of the art in ML/AI and industrial analytics with BHC3 data science team and with broader data science community. Fuel your passion To be successful in this role you will have: MS or PhD in Physics, Electrical Engineering, Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math). Minimum 3+ years of professional experience in Data Science, machine learning, applied statistics and probabilistic modeling (Preferred) Preferably, 1+ years of experience building complex deep learning models with large scale data. Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, Spark ML, Spark Streaming). Ability to lead a team and projects. May work both independently and in a team. You are best known for helping your team succeed. You can focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" Strong programming experience in Python and python visualization frameworks Excellent verbal and written communication with an ability to craft a compelling story and adjust technical depth according to the targeted audience. Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits

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