Data Scientist

Company:
Location: Sydney NSW 2000

*** Mention DataYoshi when applying ***

  • Join a fast growing Tech driven FinTech Success Story that will INVEST IN YOU
  • Work with AWS SageMaker, Machine Learning, NLP, RDS Data Lake. R / Python
  • North West Sydney Based, $130K-$150K Base + Super + Equity

Are you a Data Scientist experienced with Amazon SageMaker, Machine Learning and Data Lake??

ACT NOW: Join a growing success story in the Financial Services Industry that is expanding rapidly. This Tech driven company is growing at a Phenomenal rate. Be part of a friendly & innovative team that offers a culture of real empowerment.

Currently we have a (Permanent) Data Scientist role available.

In this role you will support product, sales, leadership, and marketing teams with insights gained from analysing company data.

Responsibilities:
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
The ideal candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations.

You need the proven ability to drive business results with their data-based insights. You will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Skills & Experience Required:
  • 4 + years Data Science Experience
  • Experience with Amazon SageMaker
  • Experience in Data lake (AWS RDS preferred)
  • R or Python Programming Skills
  • Machine Learning Experience (use of Productionalised Business Models)
  • NLP experience (highly Desirable)
  • Banking / Financial Services experience (Highly Desirable)
  • Experience manipulating data sets and building statistical models, has a master’s or PHD in Statistics, Mathematics, Computer Science, or another quantitative field.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Proven working with supervised and unsupervised learning models. You must have deployed at least 2 models in production used by businesses.
  • Experience using web services: AWS, Google Cloud.
  • Strong problem-solving skills with an emphasis on product development.
  • Excellent written and verbal communication skills for coordinating across teams.
This is a great opportunity - To apply, please submit your CV via the portal by clicking the APPLY NOW button below.

You can also contact Charlie directly at: charlie@nbridge.com.au

Charlie Molino
0450 253 077
Northbridge IT Recruitment
15 William Street, Melbourne, VIC, 3000

For this and other opportunities please visit:
www.northbridgerecruitment.com/content/OpenVacancies

*** Mention DataYoshi when applying ***

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