As a key contributor you will dive deep into hands-on coding, employing best practices to enhance data science capability and deliver tangible outcomes. This position is tailor-made for a (senior) Data Scientist with software engineering skills, with an emphasis on coding, offering the chance to make a significant difference by leveraging data science and software methods to deliver data-driven products
Capabilities and experience required
- >5 years' experience in analytical tools, processes, and practices across AI/ML/DS domains.
- Hands on coding experience in Python & R, with extensive use of Git & various build systems.
- Experience diving into library source code, documentation, manuals, mailing lists & Stack Overflow, to understand underlying functions & libraries in order to unpack & resolve raised issues.
- Ability to create abstractions and use design patterns to build production level software systems.
- Ability to debug, trace, and create algorithms with a very strong attention to detail; coupled with the ability to clearly communicate thoughts, findings, trade-offs, and your governing processes.
- Demonstrated strong conceptual and analytical skills, able to translate complex business issues into well-structured analytics research problems, i.e., spanning from ideation to delivery.
- Experience in building large scale, end-to-end machine learning systems using a combination of big data tools (i.e., Azure ML, VMs, etc.), visualisation tools, and programming in Python, R & SQL.
- Experience with Windows/Linux command line and tools (bat / bash / grep / cron / systemd / etc.); as well as language tooling (pip, virtualenv, pandas, requests) and meta-tools (Docker, etc).
- Ability to independently take a large problem and decompose it into smaller problems and use data science / analysis / software methods to arrive at solutions, using creativity/imagination as needed.
- Experience dealing with large amounts of data, in varying formats (be it output from SQL queries, CSV dumps, JSON/XML outputs, ad-hoc programs, APIs, etc); with the ability to reshape with ease.
- Experience in producing & presenting documentation in support of the entire analytical process.
- Sound communication skills to be able to engage with stakeholders from a range of backgrounds with varying levels of technical competency.
- Capable of quickly learning new programming languages & tools to solve problems as they arise.
- An academic background in: Software Engineering, Computer Science, Informatics, or similar.
Capabilities and experience desirable
- Experience in machine learning areas such as Computer Vision (OpenCV), Recommender Systems, NLP, Pattern Recognition, Predictive modelling, particularly as embedded within a delivered commercial service and/or product.
- Ability to write multi-threaded code to solve data science / software challenges as needed.
- Experience building modular machine learning / software systems within SDLC methods.
- Experience with MLOps, Pipelines, Cloud Platforms and Databases.
- Keeps abreast of ongoing analytical and modelling techniques in industry and how they can be practically applied to business problems.
Take the next step - APPLY NOW! Or contact Mangal Kadam on 730037693 referring a job number 260647.
Diversity and inclusion are strongly supported at Peoplebank. People of all nationalities, gender identities, and cultural backgrounds, including Aboriginal and Torres Strait Islander Peoples, are encouraged to apply.
