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  • jobs
  • 1 month ago

jobs description

Introduction

We are looking for a highly skilled Data Science Consultant to join the team. You will have a deep understanding of Machine Learning and AI methodologies and are adept at applying them to diverse datasets to drive strategic business objectives.

Key Responsibilities
• Employ advanced Data Science and Machine Learning techniques to analyse various datasets, uncovering patterns, trends, and anomalies.
• Analyse seasonal patterns, trends, and anomalies in data to inform strategic business decisions.
• Utilise Alteryx Designer to create complex workflows for data importing, cleaning, blending, and preparation.
• Demonstrate proficiency in Python, leveraging these tools to drive data science and analytics initiatives.
• Discuss Advanced Analytics needs and requirements with customers, understand customer business scenarios, and craft solutions using AI/ML technologies and services.
• Conduct "art of the possible" discussions and sessions with clients to help them understand... how AI/ML solutions can add value to their business.
• Work with the sales reps to prepare proposals, SOWs, and project documentation to deliver required solutions.
• Scope and conduct POCs to prove the value of solutions.
• Create solution architecture for advanced analytics and AI/ML solutions tailored to specific customer business requirements.
• Lead project teams comprising client and organisational staff to deliver high-impact solutions to the client’s satisfaction.
• Mentor junior staff in data science methodologies and customer engagement techniques.

Qualifications
• Proven experience in data analysis with a focus on sales forecasting.
• Demonstrated ability to use Alteryx Designer for data workflow management.
• Proficiency in data science and analytics platforms, particularly Python and/or R.
• Hands-on experience and proficiency in SQL.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Experience working with data technologies in areas such as data engineering, data science, or cloud data architecture.
• Ability to engage and communicate ideas effectively to both technical and non-technical audiences.

General
• Manage the project through to its conclusion to ensure business value is realised, leading to the next project identification.
• Deploy various delivery strategies integrating data analysts and engineers to assist in project delivery.
• Passion for learning new technologies, developing innovative data modelling methods, and leading change management
Sydney NSW Australia

salary-criteria

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