Data Scientist – ML & Optimisation models
6 days ago
Viladecans
ppWe are seeking a Senior Data Scientist to design and implement advanced analytics solutions for a leading aviation-sector organization. This role is responsible for developing industrialized optimisation and machine learning models as part of a fullstack product squad that delivers operations decision‑support software. /p pWe are a team of over 180 professionals passionate about what we do, working hand in hand on every project. Our individuals are part of a multidisciplinary environment where cooperative work is the key to our success. We are committed to ensuring a professional career by designing the evolution of knowledge and responsibilities. We collaborate with leading companies in innovation, learning from them and discovering new perspectives. /p h3What will the day‑to‑day look like? /h3 pThe Data Scientist has full‑stack accountabilities across the full value chain of building an industrialized data‑science software product: /p pUnderstanding a business problem and its component processes end to end, and identifying opportunities to make decisions more optimally leveraging decision‑support tooling. /p pEfficiently conducting analyses and visualisations to identify valuable opportunities for decision‑support and to determine trade‑offs between different potential feature implementations. /p pPrototyping advanced machine learning and optimisation models to prove the value of a use case and approach (in Python). /p pDelivering features to industrialise machine learning and optimisation models in Python using best‑practice software principles (e.g., strict typing, classes, testing). /p pBuilding automated, robust data cleaning pipelines that follow software best practices (in Python). /p pImplementing integrations between the core algorithm (machine learning or optimisation) and a workflow orchestration paradigm such as Dagster. /p pImplementing software in a cloud‑based deployment pipeline with Continuous Integration / Continuous Deployment (CI/CD) principles. /p pBuilding logging, error handling, and automated tests (e.g., unit tests, regression tests) to ensure the robustness of operationally critical decision‑support products. /p pDelivering features to harden an algorithm against edge cases in the operation and in data. /p pConducting analysis to quantify the adoption and value capture from a decision‑support product. /p pEngaging with business stakeholders to collect requirements and get feedback. /p pContributing to conversations on feature prioritisation and roadmap, with an understanding of the trade‑off between speed vs. long‑term value. /p pUnderstanding and integrating the product into existing business processes, and contributing to the development and adoption of new business processes leveraging a decision‑support product. /p pCommunicating feature and modelling approach, trade‑offs, and results with the internal team and business stakeholders. /p pThe Data Scientist is also accountable for ways of working fit for an Agile cross‑functional development squad, including: /p pUsing Git versioning best practices for version control. /p pContributing to and reviewing pull requests and product/technical documentation. /p pProviding input on prioritisation, team process improvements, and optimising technology choices. /p pWorking independently and providing predictability on delivery timelines. /p h3What are we looking for? /h3 h3Technical Skills /h3 pStrong knowledge of either machine learning and optimisation techniques, incl. supervised (regression, tree methods, etc.), unsupervised (clustering) learning, and operations research (linear, mixed integer programming, heuristics). /p pFluent in Python (required) and other programming languages (preferred) with strong skills in applying DS, ML, and OR packages (scikit‑learn, pandas, numpy, Gurobi etc.) to solve real‑life problems and visualise the outcomes (e.g., seaborn). /p pProficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking (e.g., MLflow). /p pExperience with cloud‑based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker, ECS) nice to have. /p pExperience in code testing (unit, integration, end‑to‑end tests). /p pAdvanced analytical skills, including the ability to apply a range of data science and analytic techniques to quickly generate accurate business insights. /p pUnderstanding of the trade‑offs of different data science, machine learning, and optimisation approaches, and ability to intelligently select which are the best candidates to solve a particular business problem. /p pAble to structure business and technical problems, identify trade‑offs, and propose solutions. /p pCommunication of advanced technical concepts to audiences with varying levels of technical skills. /p pManaging priorities and timelines to deliver features in a timely manner that meet business requirements. /p pCollaborative team‑working, giving and receiving feedback, and always seeking to improve team processes. /p pMaster's degree or greater in data science, ML, or operational research, or 2+ years of highly relevant industry experience (required). /p p0–2 years working on production ML or optimisation software products at scale (required). /p pExperience in developing industrialised software, especially data science or machine learning software products (preferred). /p pExperience in relevant business domains (transportation, airlines, operations, network problems) (preferred). /p h3What can we offer you? /h3 ul liOpportunity for professional development in a technological and innovative international environment. /li liWorking hours: 09:00 to 17:00. /li liYou will be part of a pleasant and challenging work environment, surrounded by colleagues who will support you in overcoming challenges within the projects where you will grow. /li liWe provide professional growth opportunities with individualized career plans aligned with training and certifications covered by the company, designed for your professional and personal development. /li liFlexible compensation (health insurance, transportation vouchers, restaurant vouchers, and childcare vouchers) and access to a network of gyms and sports centres at a special rate through the company. /li liBeing part of a company that advocates for equality and diversity. /li /ul /p #J-18808-Ljbffr
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