Data Scientist

Build the Future of Air Travel with AmachJoin one of the world's fastest-growing technical teams, where innovation meets impact. We take the time to understand your skills, ambitions, and what truly drives you-because your journey matters.Amach is an industry-leading technology-driven company headquartered in Dublin with remote teams in the UK and Europe. Our blended teams of local and nearshore talent deliver high quality and collaborative solutions.Founded in 2013, we specialise in cloud migration, agile software development, Dev Ops, automation, data and machine learning, and digital transformation.As a key member of a product squad reporting to the Lead Product Data Scientist, a Data Scientist will develop data pipelines, machine learning models and complex optimisation models in the ODS software product suite. The Data Scientist is in charge of modelling and robust implementation of features contributing to an operations decision-support product. In developing a product's core, processesAccountabilitiesUnderstand a business problem and its component processes end to end, and identify opportunities to make decisions more optimally leveraging decision-support toolingEfficiently conduct analyses and visualisations to identify valuable opportunities for decision-support and to determine trade-offs between different potential feature implementationsPrototype advanced machine learning and optimisation models to prove the value of a use-case and approach (in Python)Deliver features to industrialise machine learning and optimisation models in Python using best-practice software principles (e.g., strict typing, classes, testing)Build automated, robust data cleaning pipelines that follow software best-practices (in Python)Implement integrations between the core algorithm (machine-learning or optimisation) and a workflow orchestration paradigm such as DagsterImplement software in a cloud-based deployment pipeline with Continuous Integration / Continuous Deployment (CI/CD) principlesBuild logging, error handling, and automated tests (e.g., unit tests, regression tests) to ensure the robustness of operationally critical decision-support productsDeliver features to harden an algorithm against edge cases in the operation and in dataConduct analysis to quantify the adoption and value-capture from a decision-support productEngage with business stakeholders to collect requirements and get feedbackContribute to conversations on feature prioritisation and roadmap, with an understanding of the trade-off between speed vs. long-term valueUnderstand and integrate the product into existing business processes, and contribute to the development and adoption of new business processes leveraging a decision-support productCommunicate feature and modelling approach, trade-offs, and results with the internal team and business stakeholdersWays of WorkingUsing Git-versioning best practices for version controlContributing and reviewing pull-requests and product / technical documentationGiving input on prioritisation, team process improvements, optimising technology choicesWorking independently and giving predictability on delivery timelinesSystems thinkingDetail-oriented while understanding the big pictureCurious, self-motivated, proactive, and action-orientedCreative and innovativeResilient and flexible in light of changing priorities and approachesData-drivenPragmaticA true believer in the power of using data to drive better decision makingA technologist, interested in keeping up with the latest and greatest in software development, optimisation, and machine learningCommitment to delivering business valueWhat's in it for youAn opportunity to join a fast-growing companyOptions for career advancementLearning and development opportunitiesFlexible working environmentCompetitive salaries based on experienceEqual Opportunity EmployerAmach is an equal opportunity employer and makes employment decisions on the basis of merit. We celebrate diversity and are committed to creating an inclusive environment for all employees. This job description is intended to convey essential responsibilities and qualifications for this role, but it is not an exhaustive list of tasks that an employee may be required to perform.Apply for this jobInterested in building your career at Amach? Get future opportunities sent straight to your email.#J-18808-Ljbffr Similar jobs, PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus,..., As aPrincipalData Analyst , you will join the Gain Theory Data Practice and be embedded within one of our client-focused squads. Working closely with your manager, you'll collaborate on some of the world's top brands, gaining hands-on experience with diverse data...

algorithm, the full-stack Data Scientist role ensures that features integrate seamlessly into the product's technical stack (data ingestion, user interface, orchestration) as well as the business process and use case.Required SkillsStrong knowledge of machine learning and optimisation techniques, including supervised (regression, tree methods, etc.), unsupervised (clustering), and operations research (linear, mixed integer programming, heuristics)Fluent 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)Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking (e.g., MLflow)Experience with cloud-based ML tools (e.g., Sage Maker), data and model versioning (e.g., DVC), CI/CD (e.g., Git Hub Actions), workflow orchestration (e.g., Airflow/Dagster) and containerised solutions (e.g., Docker, ECS) nice to haveExperience in code testing (unit, integration, end-to-end tests)Strong data engineering skills in SQL and PythonProficient in use of Microsoft Office, including advanced Excel and Powerpoint skillsAdvanced analytical skills, including the ability to apply a range of data science and analytic techniques to quickly generate accurate business insightsUnderstanding 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 problemAble to structure business and technical problems, identify trade-offs, and propose solutionsCommunication of advanced technical concepts to audiences with varying levels of technical skillsManaging priorities and timelines to deliver features in a timely manner that meet business requirementsCollaborative team-working, giving and receiving feedback, and always seeking to improve team

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