Data Scientist

💰 $3,800 - $6,080 (Est.) 📍 Auckland

Job Description

This role is based in Auckland and the successful candidate will have the opportunity to work with cutting-edge technologies such as SQL, Python, and Google Cloud Platform. Experience in an insurance environment would be a plus, but it's not a deal-breaker. This is a fantastic opportunity to apply your data science skills in a supportive and inclusive environment.

Initial 6-month contract with potential for extension
Opportunity to work with SQL, Python, and Google Cloud Platform
Experience in an insurance environment is beneficial

What You'll Do

As a Data Scientist, you will be at the forefront of analysing complex data sets using SQL, Python, and Google Cloud Platform. Your role will involve developing predictive models and machine learning algorithms to extract valuable insights from these data sets. You'll also present this information using data visualisation techniques to help inform strategic decisions. Collaboration is key in this role as you'll work closely with engineering and product development teams. Additionally, you'll ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures.

Utilise SQL, Python, and Google Cloud Platform to analyse and interpret complex data sets
Develop predictive models and machine learning algorithms
Present information using data visualisation techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures

What You Bring

As the ideal candidate for the Data Scientist role, you bring a strong proficiency in SQL, Python, and Google Cloud Platform. Your understanding of machine learning algorithms and predictive modelling allows you to develop innovative solutions to complex problems. You have excellent problem-solving skills which enable you to tackle any challenge that comes your way. Your ability to present complex data in understandable ways will be crucial in this role. You're experienced in working collaboratively with diverse teams. Lastly, your understanding of data architecture, structures, theories, principles, and practices will be highly beneficial.

Proficiency in SQL, Python, and Google Cloud Platform
Strong knowledge of machine learning algorithms and predictive modelling
Excellent problem-solving skills
Ability to present complex data in understandable ways
Experience working collaboratively with diverse teams
Understanding of data architecture, structures, theories, principles, and practices

Robert Walters endeavours to review all applications in a maximum of five working days. If you have not received correspondence within this timeframe please do not hesitate to contact Terence Gomes on 0+ 374 7347.
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💡 Quick Summary

Seeking a career-building opportunity? The Data Scientist position is now open for candidates interested in the Work from home Jobs sector. This role in Auckland offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.

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Job Details

Company Name: Robert Walters

Frequently Asked Questions

Click the Apply Now button on this page, login or register for free on CallCenterJob.co.in, fill in your name, mobile number, city, and experience, then submit your application. The recruiter will contact you directly.
The expected salary for Data Scientist in Auckland is $3,800 - $6,080 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Data Scientist is an on-site position based in Auckland. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Data Scientist. Previous experience in Work from home Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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