Senior Data Scientist

Key Skills

Azure, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Git, Linear Programming, Machine learning techniques, NumPy, Optimization, Pandas, Python Programming, Streaming APIs

Job Description

We succeed when we make our clients successful. We collaborate to sharpen our insights and amplify this success. We execute with excellence. Always.

We help customers improve Worker & Customer experiences with outcome-oriented consultants who bring the latest digital thinking and cloud experience. We create actionable strategies that deliver results quickly, and help organizations adapt to a new experience-driven era. We deliver results quickly by harnessing the power of thousands of pre-built solution accelerators.

The Role

The Senior Data Scientist will join a vibrant product team which is tasked with the development of a next generation solution in the WRFM space using state of the art data science techniques. The Senior Data Scientist will be responsible for development and productization of data science solutions in the context of the WRFM.ai program in an agile fashion. The individual will also be accountable for adhering to Shell's high quality standards.

What You Will Do

• Accountable for development and delivery of data science products in a production scale environment
• Manage the product lifecycle especially relating to data science, development to support
• Development and transformation of proof of concepts into a larger deployable product in Shell and outside. Rinse and repeat, cross-pollinate ideas across projects and assets
• Part of the P&T Research team, developing Proof of Concepts and turning them into scalable data science products
• Responsible for the supervision and contribution to project work to build digital solutions with significant data science components, providing the technical assurance on end-2-end delivery of data science solutions for Shell assets, operations and new business transformations, in particular the machine learning component
• Adhere to the principles of delivering quality through the MCDS quality standards initiative by conducting regular health checks, audits, code reviews to ensure that clean and maintainable production-level code is being produced by project teams
• Keep abreast of new engineering practices, technologies and continuously improving our Agile practices and building and strengthening relationships and alliances in academia, IDT and industry

Who Are We Looking For

• Master's degree or equivalent in Statistics, Mathematics, Econometrics, Data Science, or a similar discipline
• Minimum 7 years of experience in industry in a Data Science/Software Engineering related role

  Required Skills

• Experience in developing, deploying & supporting machine learning solutions in production.
• Experience in developing end-to-end workflows using machine learning for predictive modelling in a business/industry environment, i.e., feature engineering, model creation and evaluation
• Deep expertise in Python and the Python Data Science ecosystem (Pandas, Scikit Learn, Numpy, etc.)
• Ability to write clean, efficient, and maintainable production-level code and experience in version control, testing, refactoring
• Experience in creating portable and reusable Python code e.g. in the form of packages with clearly defined APIs.
• Good knowledge and understanding of GIT, Azure, and CI/CD pipelines
• Firm grasp and demonstratable experience on the principles of the model development lifecycle and producing machine learning models that stand up to statistical rigor
• Experience in at least one of the following:
• Machine Learning and Statistics
• Probabilistic Modelling (e.g. General Linear Models, Stochastic processes, Bayesian Networks, Hidden Markov Models, Hierarchical Modelling, Time Series Modelling, etc.)
• Algorithms & Optimization (e.g. linear programming, multi-objective optimization, meta-heuristics, etc.)
• Strong communication skills, especially explaining technical concepts and challenges to business stakeholders
• Extensive experience working in empowered, delivery focused, cross-functional and collaborating agile teams
• Experience of working in a virtual team and with virtual stakeholders
• Prior working experience on one or more of Shell's Subsurface and Wells projects, preferably R&D work. Expectation is for the candidate to come up-to-speed in the shortest possible time.
• Ability to effectively collaborate with a wide variety of individuals ranging from Reservoir Engineers, Production Technologi

What Working At Wipro Offers

A competitive remuneration package including extended fringe benefits.

Being part of the local Wipro Benelux family and also supported by 260.000 enthusiast colleagues spread over the 6 continents.

A state-of-the-art training platform so you can grow and become the best version of yourself.

A dynamic working environment with room for personal development

A career path within a global leading Technology firm

At Wipro we find it important that you have a good work life balance so homeworking, working at the HQ