Data Scientist

$120k per annum (based on experience)
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10 Jun 2024
  • Competivite Salary + Parking Onsite + Paid Volunteer Day Off
  • Exciting New Role in Fast Paced Industry
  • West Auckland Location Close to Motorway 

About the Company

Our Client are dedicated to harnessing the power of data to drive strategic decision-making and deliver exceptional results for their clients. As a leading player in the industry, they’re committed to innovation and are seeking a talented Data Scientist to join their team.

About the Role

As a Data Scientist, you will leverage advanced analytics techniques to extract insights from complex datasets, develop predictive models, and drive data-driven decision-making across the organisation. Collaborate closely with cross-functional teams to understand business objectives and translate them into actionable insights.

Key Responsibilities:

  • Perform exploratory data analysis to identify patterns, trends, and anomalies in large datasets.
  • Develop and implement statistical models and machine learning algorithms to predict trends and outcomes.
  • Design and execute experiments to test hypotheses and validate models.
  • Manage external providers of data science solutions as required.
  • Present findings and recommendations to key stakeholders in a clear and concise manner.
  • Work closely with business managers to integrate analytical insights into products and services.

Experience and Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • 4+ years of experience in data analysis, statistical modeling, and predictive analytics.
  • Experience with Machine Learning
  • Proficiency in programming languages such as R, Python, and experience with SAAS platforms.
  • Strong analytical skills and attention to detail, with the ability to work with large and complex datasets.
  • Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with big data technologies such as Hadoop, Spark, or Hive.
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js.
  • Knowledge of natural language processing (NLP) techniques and tools.
  • Experience working in Agile environments and familiarity with Agile methodologies.
  • Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.

Click APPLY and include your CV and cover letter or reach out for more information to / 

Please note, we can only consider applicants that are legally entitled to work in New Zealand at the time of application.

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Posted by
Charolette Selvey
Lead Candidate Manager
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