Specsolutions | Senior Data Scientist

vor 18 Stunden

Central Coast, Österreich Tideri Jobbörse Vollzeit

Mathematics, Statistics & Information Sciences (Science & Technology)
Full time
About Elula Elula was founded in 2017 by a group of talented individuals with years of experience in enterprise and a passion for technologies that deliver smarter decision-making through the intelligent use of data.
Our vision has been to make real, positive differences to businesses of all sizes through AI.
We partner with some of Australia's most well-known companies, both locally and internationally, to solve various business problems, alongside Amazon Web Services.

Our team comprises some of the smartest data scientists and engineers in our region, continually developing new ways to add value through an evolving understanding of customers and their ever-changing needs.
We foster a vibrant culture emphasizing teamwork, action, learning, creativity, and a can-do attitude in a fast-paced yet supportive environment.

Our products utilize machine learning algorithms, productionized models, data pipelines, explainable AI, visualizations, and technical-to-plain-English translation, focusing on helping the financial services industry deliver personalized customer experiences and transform customer engagement and retention.

About the Role We are only successful if our customers are getting demonstrable value from our AI products and services.
The primary focus is ensuring that our clients achieve success from leveraging our AI products and services by integrating the outcomes of our data science capabilities into their business to generate great customer experiences.
This requires onboarding new customers to Elula's AI products and ongoing servicing of subscriptions.

As a senior data scientist, you will be part of a high-performing team, owning specific data science outcomes.
You will work closely with other data scientists and collaborate with data engineers, software engineers, and customer-facing roles, solving interesting data science problems that drive business value.

Key Responsibilities Investigate described problems and datasets to assess the usefulness of data science and analytics solutions.
Apply a range of data science techniques and use specialized programming languages.
Understand and apply industry-specific rules and guidelines while anticipating risks and other implications of modeling.
Select, acquire, and integrate data for analysis.
Develop data hypotheses and methods and evaluate analytics models.
Advise on the effectiveness of specific techniques based on project findings and comprehensive research.
Define and enhance processes associated with deploying, monitoring, and running models in production.
Generate and communicate insights aligned to business objectives and relevant to diverse stakeholders and clients.
Manage demand and prioritization with business stakeholders and balance long-term objectives versus immediate delivery.
Work independently with the business to proactively propose and develop data science solutions to customer problems.
Mentor other data science team members on data science best practices.
Lead projects to create scalable and reliable end-to-end solutions for our customers.
Optional Skills and Other Relevant Experience A bachelor's or master's degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
5+ years of working experience in a data science position, preferably in the financial services industry.
Ability to navigate complexity and ambiguity to provide pragmatic commercial solutions that meet stakeholder expectations.
Excellent verbal and written communication skills, capable of communicating with audiences at all levels with clarity, impact, and influence.
Sound knowledge of data management and risk management principles.
Expert in programming across one or more of R, Python, and SQL.
Advanced data analysis, database management, and logical data modeling skills.
Demonstrable experience with big data, machine learning, predictive analytics, and communicating data science outcomes to senior stakeholders.
Demonstrated ability to build effective relationships internally and externally with stakeholders.
Experienced in agile working practices, DevOps, and CI/CD principles.
Enjoy a start-up culture: team over individual, rapidly shifting priorities, flexibility surrounding assignments, and solving problems within or outside of formal duties.
Work with talented people – we have high standards and hire the best and the brightest.
Learn and develop at pace – we actively support growth through training and education, with exposure to real-world problems.
We believe we can do better by being together – we spend 4 days per week in the office, building culture face-to-face.
Inclusivity and equality – all are welcome to apply for our roles because we truly believe that diversity is a game changer for Elula.
Interested?
If you are excited about collaborating with a close-knit team of initiative-taking people, submit your CV and a cover letter telling us specifically what draws you to Elula, what draws you to the job, and what distinguishes you from others.

Flexible work arrangements are available, as are internal career development opportunities to any other role within the company.

Your application will include the following questions:
Which of the following statements best describes your right to work in Australia?
What's your expected annual base salary?
How much notice are you required to give your current employer?
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