Data Scientist II
Data Scientist II
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Job Description
Building on our past. Ready for the future
Worley is a global professional services company of energy chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds moving towards more sustainable energy sources while helping to provide the energy chemicals and resources needed now.
Worley Digital
At Worley our Digital team collaborates closely with the business to deliver efficient technologyenabled sustainable solutions that will be transformational for Worley. This team aptly named Worley Digital is currently seeking talented individuals who would be working on a wide range of latest technologies including solutions based on Automation Generative AI.
What drives us at Worley Digital Its our shared passion for pushing the boundaries of technological innovation embracing best practices and propelling Worley to the forefront of industry advancements. If youre naturally curious openminded and a selfmotivated learner one whos ready to invest time and effort to stay futureready then Worley could be your ideal workplace.
Position Title (Global): Data Scientist II
MAJOR ACCOUNTABILITIES OF POSITION:
Understanding business objectives and developing models that help to achieve them along with metrics to track their progress Utilize the existing frameworks standards patterns to create architectural foundation and services necessary for AI applications that scale from multiuser to enterprise class
Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture Data Warehouse Data Governance teams for providing analytics as service.
Mentor team member for AI/ML development
Verifying data quality and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset.
Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production.
Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
Exploring and visualizing data to gain an understanding of it then identifying differences in data distribution that could affect performance when deploying the model in the real world
Knowledge / Experience / Competencies Required
IT Skills & Experience (Priority wise):
1. Proven experience as a Data Scientist AI/ML or similar role
2. Ability to write robust code in Python.
3. Experience in the Generative AI components like LLMs LangChain LlamaIndex OpenAI Mistral Llama etc.
4. Experience in supervised/semisupervised and unsupervised machine learning algorithms.
5. Experience using the cognitive APIs machine learning studios on cloud.
6. Up to speed on NLP (Summarization Translation models Named Entity Recognition)
7. Handson knowledge of image processing with deep learning (CNN RNN LSTM GAN)
8. Understanding of complete AI/ML project life cycle.
9. Understanding of data structures data modelling and software architecture.
People Skills:
Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture
Ability to work independently and/or as part of crossdomain big team
Professional and open communication to all internal and external interfaces.
Accurately report to management in a timely and effective manner.
Other Skills:
Outstanding analytical and problemsolving skills
Taking ownership of the tasks in hand and being accountable for deliverables.
Education Qualifications Accreditation Training:
Masters in information technology / Big Data/Data Science/AI/Computer Science or related field
Were committed to building a diverse inclusive and respectful workplace where everyone feels they belong can bring themselves and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by law.
We want our people to be energized and empowered to drive sustainable impact. So our focus is on a valuesinspired culture that unlocks brilliance through belonging connection and innovation.
And were not just talking about it; were doing it. Were reskilling our people leveraging transferable skills and supporting the transition of our workforce to become experts in todays low carbon energy infrastructure and technology.
Whatever your ambition theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons explore diverse opportunities and be part of delivering sustainable change.
Education Qualifications Accreditation Training:
Masters in information technology / Big Data/Data Science/AI/Computer Science or related field
Moving forward together
Were committed to building a diverse inclusive and respectful workplace where everyone feels they belong can bring themselves and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by law.
We want our people to be energized and empowered to drive sustainable impact. So our focus is on a valuesinspired culture that unlocks brilliance through belonging connection and innovation.
And were not just talking about it; were doing it. Were reskilling our people leveraging transferable skills and supporting the transition of our workforce to become experts in todays low carbon energy infrastructure and technology.
Whatever your ambition theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons explore diverse opportunities and be part of delivering sustainable change.
Employment Type
Full-Time
