Python Job: Data Scientist

Python Job Added on

Company

Fundo Loans

Location

Surry Hills - Australia

Job type

Full-Time

Python Job Details

We are scaling up! An exciting opportunity exists for a Data Scientist to join the innovative and successful FinTech team at Fundo Loans, based in Surry Hills.

Why Join Us?

  • Competitive remuneration - be recognized for your experience and skills
  • Awesome career progression opportunities - make your mark and find fulfillment in a rapidly growing business committed to being better each day
  • Flexible work environment - be supported with flexible working conditions dedicated to achieving a good work/life balance
  • New, light-filled and centrally located office space - 5 mins walk from Central station + surrounded by a vibrant bar and restaurant scene
  • Strong team culture - be encouraged to develop professionally and personally in a social, supportive and dynamic environment

About Us

Fundo Loans was born in 2015. Our first year revenue was $400,000 - this year will be over $40 Million dollars. We grew our revenue by 996% in 2020 alone, and 250% in 2021. We now have a large scale, off-shore customer service team as well as tech-devs with a small executive tech team here in Sydney. We're dedicated to creating an environment of growth and fulfilment through conquering challenges, and we want you on board for the ride.

Job Overview

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They 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. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze 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 modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications for Data Scientist:

  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Deployed at least 4+ models in productions used by businesses.
  • Experience using web services: AWS, Google Cloud.
  • Proven Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience visualizing/presenting data for stakeholders.

Job Types: Full-time, Permanent

Salary: $110,000.00 – $149,999.00 per year

Schedule:

  • Monday to Friday

Work Authorisation:

  • Australia (Required)