Data Scientist
Sydney
Applications have closed
SafetyCulture
Digitize & improve elements of your operations. Give your teams the knowledge, tools & confidence to work safely & meet higher standards.
SafetyCulture is a customer and product-led SAAS company, our mission is to help working teams get better every day, our technology platform and products give front line workers a voice and leaders the visibility to make smart decisions when driving safety, quality and continuous improvement.
We have an exciting opportunity for a Data Scientist role at SafetyCulture to unlock actionable insights from vast data sets, driving strategic decision-making and fostering a culture of continuous improvement. This role exists to leverage advanced analytical techniques, including machine learning and predictive modelling, and the integration of Large Language Models (LLMs), to enhance product offerings, optimize operational efficiency, and maintain SafetyCulture’s competitive edge in the market. By transforming raw data into meaningful narratives, the Data Scientist empowers the organization to make data-driven decisions, utilising LLMs to process and interpret complex information more efficiently. This will aid SafetyCulture's mission to improve safety and quality standards across industries. Ultimately, this role is pivotal in shaping the company’s future through innovative data and AI-driven solutions that resonate with customer needs and business goals.
Even if you don't meet every requirement listed in the ad, please consider applying for this role. We prioritise inclusion and value individuals with potential over a checklist of qualifications. Don't rule yourself out, hit that apply button if this job resonates with you
You can find out more about life at SafetyCulture via Youtube, Twitter, Instagram and LinkedIn.To all recruitment agencies, we do not accept resumes or partnership opportunities. Please do not forward resumes to SafetyCulture or any of our employees. We are not responsible for any fees associated with unsolicited resumes.
We have an exciting opportunity for a Data Scientist role at SafetyCulture to unlock actionable insights from vast data sets, driving strategic decision-making and fostering a culture of continuous improvement. This role exists to leverage advanced analytical techniques, including machine learning and predictive modelling, and the integration of Large Language Models (LLMs), to enhance product offerings, optimize operational efficiency, and maintain SafetyCulture’s competitive edge in the market. By transforming raw data into meaningful narratives, the Data Scientist empowers the organization to make data-driven decisions, utilising LLMs to process and interpret complex information more efficiently. This will aid SafetyCulture's mission to improve safety and quality standards across industries. Ultimately, this role is pivotal in shaping the company’s future through innovative data and AI-driven solutions that resonate with customer needs and business goals.
Key responsibilities of the role:
- Develop innovative data models and algorithms to drive predictive insights and strategic business decisions.
- Identify trends and patterns within complex data sets to inform product development and customer experience strategies.
- Collaborate with cross-functional teams to integrate data science into all aspects of business operations and decision-making.
- Lead the implementation of machine learning and AI techniques to automate processes and enhance analytical capabilities.
- Communicate complex data findings in a clear and actionable manner to stakeholders at all levels of the organisation.
- Champion a data-driven culture, advocating for the importance of data insights in achieving organisational goals.
- Ensure the integrity and accuracy of data used for analysis, maintaining high standards of data quality and governance.
- Drive continuous improvement by staying abreast of industry trends and advancements in data science and analytics technologies.
Key stakeholders you'll engage with in this role:
- Product Teams: Work closely with product managers and developers to integrate data-driven features and enhancements into products.
- Marketing Department: Partner with marketing to refine customer segmentation, personalise campaigns, and measure their effectiveness.
- Sales Teams: Assist sales with lead scoring models and customer insights to optimise sales strategies and performance.
- Customer Success: Provide analytics support to customer success teams to improve customer retention and satisfaction.
- Operations: Collaborate with operations to streamline processes and identify efficiency gains through data analysis.
The successful applicant will have experience in:
- Data Science Principles: Profound understanding of statistical analysis, predictive modelling, and machine learning algorithms.
- Programming Languages: Proficiency in languages such as Python, R, or Scala, and familiarity with SQL for database querying.
- Data Visualisation: Knowledge of data visualisation tools and techniques to present complex data insights clearly.
- Big Data Technologies: Familiarity with big data platforms like Hadoop, Spark, or Kafka.
- Domain Expertise: Awareness of the industry SafetyCulture operates in, including safety regulations and quality standards.
The successful applicant will bring to the role:
- Analytical Thinking: Ability to dissect complex data sets and extract meaningful insights.
- Problem-Solving: Strong problem-solving skills to address business challenges with data-driven solutions.
- Communication: Excellent verbal and written communication skills for articulating data findings to non-technical stakeholders.
- Collaboration: Ability to work effectively in cross-functional teams and with various stakeholders.
- Project Management: Skills in managing projects, setting timelines, and meeting deadlines.
- Curiosity: A strong desire to explore data for hidden patterns and opportunities.
- Attention to Detail: Meticulous attention to detail to ensure accuracy in data analysis and modelling.
- Adaptability: Flexibility to adapt to new tools, technologies, and changing business needs.
- Innovative Mindset: A creative approach to developing new analytical methods and solutions.
- Ethical Judgment: Commitment to ethical standards in handling and analysing data.
What do I get access to when working at SafetyCulture?
- Equity with high growth potential, and a competitive salary;
- Hybrid working, we encourage you to create the best work blend while working from your home and the local SafetyCulture office;
- Access to professional and personal training and development opportunities;
- Hackathons, Workshops, Lunch & Learns;
- We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies.
What are the office benefits?
- In-house Culinary Crew serving up daily breakfast, lunch and snacks;
- Barista coffee machine, craft beer on tap, boutique wines and a range of non-alcoholic beverages;
- Quarterly celebrations and team events;
- Table tennis, board games, books library, and pet-friendly office.
Even if you don't meet every requirement listed in the ad, please consider applying for this role. We prioritise inclusion and value individuals with potential over a checklist of qualifications. Don't rule yourself out, hit that apply button if this job resonates with you
You can find out more about life at SafetyCulture via Youtube, Twitter, Instagram and LinkedIn.To all recruitment agencies, we do not accept resumes or partnership opportunities. Please do not forward resumes to SafetyCulture or any of our employees. We are not responsible for any fees associated with unsolicited resumes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Data Science Jobs
Tags: Big Data CX Data analysis Data quality Hadoop Kafka LLMs Machine Learning Open Source Python R Scala Spark SQL Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Pet friendly Snacks / Drinks Startup environment Team events
Region:
Asia/Pacific
Country:
Australia
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