About us:
Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in UK and Europe.
Our blended teams of local and nearshore talent are optimised to deliver high quality and collaborative solutions.
Established in 2013, we specialise in cloud migration and development, digital transformation including agile software development, DevOps, automation, data and machine learning…
As a key member of a product squad and reporting to the Lead Product Data Scientist, a Data Scientist will develop data pipelines, machine learning models, and complex optimization 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 algorithm, the full-stack Data Scientist role will ensure that their features integrate seamlessly into the product’s technical stack (data ingestion, user interface, orchestration) as well as the business process and use case (e.g., to maximize impact and value realization).
Required skills
- Strong knowledge of either machine learning and optimization techniques, incl. supervised (regression, tree methods, etc.), unsupervised (clustering) learning, 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. 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
- Experience in code testing (unit, integration, end-to-end tests)
- Strong data engineering skills in SQL and Python
- Proficient in use of Microsoft Office, including advanced Excel and Powerpoint Skills
- Advanced analytical skills, including the ability to apply a range of data science and analytic techniques to quickly generate accurate business insights
- Understanding 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
- Able to structure business and technical problems, identify trade-offs, and propose solutions
- Communication of advanced technical concepts to audiences with varying levels of technical skills
- Managing priorities and timelines to deliver features in a timely manner that meet business requirements
- Collaborative team-working, giving and receiving feedback, and always seeking to improve team processes
Key responsibilities & duties include:
The Data Scientist has full-stack accountabilities across the full value chain of building an industrialized data-science software product:
- Understanding a business problem and its component processes end to end, and identifying opportunities to make decisions more optimally leveraging decision-support tooling
- Efficiently conducting analyses and visualizations to identify valuable opportunities for decisionsupport and to determine trade-offs between different potential feature implementations
- Prototyping advanced machine learning and optimization models to prove the value of a use case and approach (in Python)
- Delivering features to industrialize machine learning and optimization 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)
- Implementing integrations between the core algorithm (machine-learning or optimization) and a workflow orchestration paradigm such as Dagster
- Implementing software in a cloud-based deployment pipeline with Continuous Integration / Continuous Deployment (CI/CD) principles
- Building logging , error handling, and automated tests (e.g., unit tests, regression tests) to ensure the robustness of operationally critical decision-support products
- Deliver features to harden an algorithm against edge cases in the operation and in data
- Conduct analysis to quantify the adoption and value-capture from a decision- support product
- Engage with business stakeholders to collect requirements and get feedback
- Contribute to conversations on feature prioritisaion and roadmap, with an understanding of the trade-off between speed vs. long-term value
- Understand and integrate the product into existing business processes, and contribute to the development and adoption of new business processes leveraging a decision-support product
- Communicate feature and modeling approach, trade-offs, and results with the internal team and business stakeholders
The Data Scientist is also accountable for ways of working fit for an Agile cross-functional development squad, including:
- Using Git-versioning best practices for version control
- Contributing and reviewing pull-requests and product / technical documentation
- Giving input on prioritization, team process improvements, optimizing technology choices
- Working independently and giving predictability on delivery timelines
Desirable skills
- Systems thinking
- Detail oriented while understanding the big picture
- Curious, self-motivated, proactive, and action-oriented
- Creative and innovative
- Resilient and flexible in light of changing priorities and approached
- Data-driven
- Pragmatic
- Collaborative
- A true believer in the power of using data to drive better decision making
- A technologist, interested in keeping up with the latest and greatest in software development, optimization, and machine learning
- Commitment to delivering business value
What’s in it for you:
- An opportunity to join a fast-growing company
- Options for career advancement
- Learning and development opportunities
- Flexible working environment
- Competitive salaries based on experience
Equal Opportunity Employer:
Amach 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.
If you are passionate about driving customer success, advising on strategic solutions, and contributing to product innovation, we would love to hear from you!
Not for you?
Check out all of our open positions in our careers page and follow us on LinkedIn for future opportunities.
P.S. Share this with friends and co-workers! Don't be afraid they'll steal it from you, if you're amazing and smart we'll find a role for you. We are growing fast and we are always looking for talented people.
At Amach, we strive to be an inclusive community of open-minded individuals with different backgrounds and we are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We strongly believe that a diversity of experience and background is essential to create a fulfilling environment and better solutions for our people and our customers.All Amach employees and contractors are expected to honour this policy and act to ensure that every individual is respected in the workplace.
Your personal data
Amach will process your personal information in accordance with the EU's General Data Protection Regulation (GDPR). We will comply with data protection law and principles, which means that your data will be:
- Used lawfully, fairly and in a transparent way
- Collected only for valid purposes and not used in any way that is incompatible with those purposes
- Relevant to the purposes we have told you about and limited only to those purposes
- Accurate and kept up to date
- Kept only as long as necessary for the purposes we have told you about
- Kept securely
If you would like to contact us about your data, please use the following address: info@amach.com
