HPC Advanced Data Scientist AI

YOUR ROLE:

We are looking for an Advanced Analytics Analyst to join our growing team. Operating across all stages of the innovation spectrum, with a remit to build the future in real-time. The working environment is open and interactive, facilitating collaboration with colleagues, clients, customers and ecosystem partners. Our experimentation culture, combined with a disruptive brief empowers us to break future ground. We deliver BigData, AI, ML and DL Managed services to some of the leading teams and clients in the country.

You must enjoy working as part of an team in a fast moving environment with changing requirements and deadlines. We're looking for a technically-minded person who is self-motivated and good at problem solving and coming up with new ideas.

WHAT YOU WILL BE DOING

Our Data Mechanics work as part of multi-disciplinary teams and collaborate with designers, other analytics team members, Data engineers, business subject matter experts and technology delivery teams to deliver strategic research projects from design to execution. The nature of these projects changes as ideas and concepts mature, ranging from research, proofs-of-concept and the art-of-the-possible to the delivery of real-world applications for our clients.

They work on the entire lifecycle of research projects; developing the designs with team leads, collaborating with business experts for business understanding, working with analytics consultants and platform engineers for solutions and with technology teams for prototyping and client implementations.

You will have a passion for data and technology, be prepared for a hands-on technical role and be hungry to learn and develop their skills. You will be expected to follow the key technology trends in the analytics domain, understand the related business implications and nurture and share new ideas. You will be working on projects that run the gamut of BigData, AI, ML and DL Managed services to some of the leading teams and clients in the world.

YOUR SKILLS AND QUALIFICATIONS​

• Degree in Statistics, Mathematics, Computer science, or a related scientific discipline
• Hands-on data analytics experience, ideally including exposure to areas such as statistical modeling, machine learning, data mining and unstructured data analytics
• Knowledge of statistical and related tools/languages such as R, SAS, Python or similar
• Awareness of techniques and tools for working with large data sets such as MapReduce, Hadoop, Hive and equivalent technologies
• Experience with or exposure to Natural Language Processing, Machine Learning, Neuromorphic Computing, Cognitive Computing &/ or Artificial Intelligence
• Ability to work in a global collaborative team environment
• Proficient verbal and written communication skills in English.
• NV1, NV2 Security Clearance Desirable

WHAT WE OFFER:

• Full time, Part-time, Contract Roles.
• The opportunity to work in an industry respected business with extensive clients, and deep HPC and BigData experience.
• We embrace remote working. If you have commitments, or a personal preference to work from a location of your choice, we embrace it.
• We welcome applications from overseas applicants open to working remotely.
• Work with subject matter experts with real world client problems.
• Did we mention we have Space Industry clients?
• A fun, dynamic environment with the latest and best hardware for AI, BigData and DL, and problems at the forefront of DL research.

BENEFITS

• Choice of technical or organizational leadership career growth,
• State-of-the-art technology environment,
• Innovation, proof-of-concept, and first-article rapid prototype focus,
• When submitting your application, you'll have shown you have an eye for detail by including 'Hydrae' in your cover letter.
• Small-team workplace flexibility and work-life balance,
• Start-up and innovation culture

COMPENSATION

EngineRoom offers some of highest, and flexible compensation offerings in the global market. We work flexibly at EngineRoom offering a range of balanced options for how, when and where you work.