Staff Data Scientist
IN-MH-MUMBAI-HIRANANDANI BUSINESS PARK POWAI, India
Baker Hughes
Baker Hughes | We take energy forward - making it safer, cleaner, and more efficient for people and the planet.Staff Data Scientist
Do you enjoy being part of a successful team?
Would you like to shape the future of energy technology?
Join our Digital Solutions Team
Our Digital Solutions business provides intelligent, connected technologies to monitor and control our energy extraction assets. We provide customers with the peace of mind needed to efficiently improve their operations. From the most advanced data-collection technology to innovative software enabling remote collaboration, we provide a full suite of non-destructive solutions.
Partner with the best
As a Staff Data Scientist, you will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
As a Staff Data Scientist, you will be responsible for:
- Working with customers to capture data and analytics requirements
- Developing, verifying, and validating analytics to address customer needs and opportunities.
- Working alongside software developers and software engineers to translate algorithms into commercially viable products and services.
- Working in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Performing exploratory and targeted data analyses using descriptive statistics and other methods.
- Working with data engineers on data quality assessment, data cleansing and data analytics
- Generating reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Communicating methods, findings, and hypotheses with stakeholders.
Fuel your passion
To be successful in this role you will:
- Have a Bachelor's or Masters Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math).
- Have a minimum of “6” years as data scientist and technical hands-on coding experience
- Be able to demonstrate skill in data management methods
- Be able to demonstrate skill in feature extraction and realtime analytics development and deployment
- Be able to demonstrate skill in prescriptive analytics and analytic prototyping
- Be able to demonstrate skills in LLM and Generative AI techniques.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Data management Data quality Engineering Generative AI LLMs Machine Learning Mathematics Prototyping Research Semantic Analysis Statistics STEM
Perks/benefits: Career development Flex hours Health care Insurance
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