About Company
Are you ready to transform raw data into actionable insights? Career.zycto is at the forefront of leveraging advanced analytics to redefine industry standards. We are a dynamic tech firm in Sydney, deeply committed to fostering an environment where innovation thrives and data-driven decisions power every strategy. For a Data Scientist, this means unparalleled opportunities to work on complex, real-world problems using cutting-edge tools and methodologies. Join a collaborative team where your expertise will directly contribute to groundbreaking projects and shape the future of our enterprise.
Job Description
Career.zycto is seeking an exceptionally talented and driven Data Scientist to join our burgeoning team in Epping, Sydney. This is a pivotal full-time role where you will be instrumental in extracting meaningful insights from vast and complex datasets, building predictive models, and driving data-informed strategic decisions across various business units. You will be responsible for the entire lifecycle of data science projects, from problem definition and data acquisition to model deployment and performance monitoring. Our ideal candidate is passionate about leveraging data to solve challenging business problems, possesses a strong analytical mindset, and has a proven track record of delivering impactful data solutions.
You will collaborate closely with cross-functional teams, including product development, engineering, and business intelligence, to translate complex analytical findings into clear, actionable recommendations. In this role, you will delve into diverse data sources, identifying trends, anomalies, and opportunities for optimization. Projects may range from customer behavior analysis and churn prediction to operational efficiency improvements and market trend forecasting. We expect you to apply advanced statistical techniques, machine learning algorithms, and data visualization tools to communicate complex findings effectively to both technical and non-technical stakeholders. Beyond the technical execution, you will play a key role in advocating for a data-driven culture, identifying new data sources, and continuously improving our analytical capabilities. This role offers an exciting opportunity to shape our data strategy, innovate with emerging technologies, and make a tangible impact on our success within a dynamic and supportive environment.
Key Responsibilities
- Design, develop, and implement robust machine learning models and algorithms to solve complex business problems.
- Conduct in-depth exploratory data analysis to identify trends, patterns, and valuable insights from large datasets.
- Clean, transform, and validate diverse datasets from various sources, ensuring data quality and integrity for analysis.
- Collaborate closely with engineering teams to deploy models into production environments and continuously monitor their performance.
- Develop compelling data visualizations and interactive dashboards to effectively communicate findings to both technical and non-technical stakeholders.
- Present analytical insights and strategic recommendations to senior management, influencing key business decisions.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, applying relevant innovations.
- Contribute to the ongoing development and improvement of our data infrastructure, analytical tools, and best practices.
Required Skills
- Proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning.
- Strong understanding of SQL for querying and managing relational databases.
- Extensive experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Solid foundation in statistics, probability, and experimental design principles.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, ggplot2, Tableau, Power BI).
- Demonstrated ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
- Strong problem-solving skills with a creative and analytical approach to data challenges.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Experience with cloud platforms such as AWS, Azure, or GCP for data processing and model deployment.
- Familiarity with big data technologies (e.g., Apache Spark, Hadoop).
- Experience with A/B testing methodologies and experimental design.
- Prior experience in a consulting or fast-paced technology environment.
Perks & Benefits
- Competitive salary package and performance-based bonuses.
- Comprehensive health, dental, and vision insurance coverage.
- Flexible work arrangements (while primarily on-site, flexibility for personal needs).
- Generous paid time off and public holidays.
- Opportunities for continuous professional development, including training, conferences, and certifications.
- Modern, collaborative office space with ergonomic workstations.
- Regular team social events and company-sponsored activities.
- Access to cutting-edge tools, technologies, and a rich dataset for analysis.
- Contribution to a superannuation fund for your future.
How to Apply
Interested candidates are encouraged to submit their resume and a cover letter detailing their relevant experience and passion for this role. Please click on the application link below to apply for the job.
