Strategic AI Leader

2 weeks ago

Brisbane, Queensland, Australia beBeeDataScientist Full time $200,000 - $300,000
Job Opportunity

We are seeking a Senior Data Scientist with AI expertise to join our team.

Key Responsibilities:
  • Client Collaboration: Work closely with clients to understand their business objectives, data requirements, and AI & DS needs.
  • Design & Build Data Science & AI Projects: Design and implement data science and AI projects, ensuring they meet client objectives and deliver business value.
  • Data Analysis and Modeling: Develop and apply advanced statistical models, machine learning algorithms, and AI techniques to solve complex business problems.
  • Cloud Hosting Expertise: Utilize knowledge of cloud hosting environments, including AWS, Azure, and other relevant platforms, to deploy and manage AI & DS solutions effectively.
  • Data Integration: Integrate and analyze data from multiple sources to create unified, accurate datasets for AI & DS modeling and analysis.
  • Data Visualization: Create visually appealing and interactive dashboards and visualizations to present AI & DS-driven insights in a comprehensible manner.
  • Stakeholder Communication: Communicate complex AI & DS findings to non-technical stakeholders effectively.
  • Pre-Sales and Business Development: Collaborate with the sales team to identify opportunities, contribute to proposal development, and present AI & DS solutions to prospective clients.
Requirements

We are looking for candidates with:

  • More than 5 years of experience in data science, AI, or related fields.
  • Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong background in AI/ML techniques, including natural language processing, computer vision, and predictive analytics.
  • Experience in managing a broad range of AI products and solutions as well as Generative AI (GenAI) solutions.
  • Knowledge of cloud hosting environments, particularly Azure, AWS, GCP and other relevant platforms.
  • Knowledge of data warehousing concepts and ETL processes (e.g. Databricks or Snowflake).
  • Excellent problem-solving and analytical skills.
  • Effective communication and client-facing skills.
  • Experience in contributing to pre-sales and business development activities.
  • Certifications in AI/ML, data science, or cloud platforms.
  • Experience with cloud-based AI/ML platforms (e.g. AWS SageMaker, Azure ML or GCP Vertex AI).
Benefits

We offer a competitive package including:

  • Competitive salary.
  • Share plan.
  • Company performance bonuses.
  • Value-based recognition awards.
  • Referral bonus.
  • Career coaching.
  • Global career opportunities.
  • Non-linear career paths.
  • Internal development programmes for management and technical leadership.
  • Complex projects.
  • Rotations.
  • Internal tech communities.
  • Training.
  • Certifications.
  • Coaching.
  • Online learning platforms subscriptions.
  • Pass-it-on sessions.
  • Workshops.
  • Conferences.

Applications welcome from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers.

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