Data Science Subject Matter Expert

2 days ago

Sydney, Australia eWave Full time

Company Description

Specialists in industry disruption, eWave is an independent digital transformation agency with commerce at its core. Using service design thinking, we have an unwavering commitment to delivering experience-driven digital reinvention that inspires deeper relationships between brands and their customers.

Partnering with brands such as Nike, Canon, Coca-Cola Amatil, and Nestle, we work on some of the most exciting and innovative digital projects in the APAC market.

Our team is our strongest asset, and together, we’re reimagining consumer needs using methods that bring our clients closer to their customers than ever before. We’re thinkers, we’re creatives, we’re technologists, and we’re looking for people to join us on our journey.

**Job Description**:
Senior Subject Matter Expert with 10-15 years’ of experience in advanced analytics and data science solutions for Retail, telecom, computer, banking and cosmetics industries. Hands-on problem solver with experience in predictive statistics and Machine Learning & Deep Learning techniques applied to value-based use cases such as revenue management, pricing analytics and inventory optimization.

Descriptive Analytics using Python, R, and Java along with System and Integration Testing for data from different domains. Hands-on Experience in Statistics, Machine Learning, Deep Learning, NLP and Computer vision along with insightful knowledge of Data Visualization in Python, R, and PowerBI.

**Qualifications**:
**Skills**
- Machine Learning and deep Learning using python
- NLP and Conversational AI implementation using Python
- GCP cloud experience
- Data Visualization using Python and Power BI
- Experience in leading data science teams across multiple industries
- Problem solving & problem framing
- Hypothesis definition and testing
- Statistics and advanced analytics
- Metaheuristic optimization
- Data visualization using Tableau
- Machine learning algorithms

**Tools and Libraries**
- Big Data Tools: Hadoop
- Programming Languages: Python, SAS, SPSS, Java
- Data visualization: Tableau, Power BI, Qlik
- Version Control Tools: GitHub
- OLAP tools: SAP Business Objects
- Machine Learning: Jupyter Notebooks, Vertex AI, Azure ML
- Query Language: SQL
- Cloud: Azure, GCP
- Packages: Sklearn, Keras, NLTK, Opencv, Cookiecutter, Poetry, Hydra

Additional Information
- Rewarding Salary
- Personal Growth Roadmap, ongoing Performance Review & Mentoring Program
- Certification Programs
- English Training Program
- Medical Insurance
- Unlimited Annual Leave
- Birthday Leave
- Remote Work Opportunities
- Corporate Events

**Dare to be different**

LI-MD1

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