Role Overview:

The role’s purpose is to supercharge Finder’s data science capabilities through the research, design, deployment and improvement of data science models.

Responsibilities:

• Work closely with product teams to improve the product user experience
• Translate business and functional needs into problem statements
• Translate complex problem statements into specific deliverables and requirements
• Design and develop scalable solutions that use data to meet business requirements
• Develop Machine Learning models, perform statistical analyses and feature engineering
• Build metrics to continuously evaluate the performance of our models
• Collaborate to test and integrate models into production-level code
• Maintain and improve the performance of existing machine learning solutions
• Ensure consistency in performance standards and compliance to data security requirements
• Utilise cloud platform and services to perform deep analysis
• Be an active part in the delivery of the BI end-to-end solutions that include data gathering, modelling, reporting and front end development in cooperation with other team members.

Desired Experience and Skills:

• Subject matter expert in common ML algorithms and frameworks and modern software development best practices
• Prior experience with building recommender systems
• Deep understanding of underlying theory of machine learning algorithms
• Experience in utilising cloud platform and services in data science work
• A passion for making ML methods robust and scalable
• Strong programming skills (we use Python)
• Proven experience in SQL query
• Ability to explain and present statistical analyses and machine learning concepts to a broad technical and non-technical audience
• Be able to rapid-prototype and deliver data science solutions independently
• Ability to prioritise and manage multiple stakeholders
• Collaborative, analytical problem solver and innovation-focused
• Experience in a high-energy startup or an enterprise-class software company
• Experience with marketing and behavioural data (Snowplow/Google Analytics 360)

Nice to have:

• PhD in Computer Science, Mathematics, Statistics, Data Science or related field
• Experience in building/designing relational databases, reporting/BI platforms;
• Experience in or exposure to building data pipelines and model deployment;
• Experience in modern data warehousing techniques (dimensional data modelling, ETL workflow development, etc.);
• Proficient in Javascript, typescript or other scripting languages (excluding Python, Julia and Scala)

Application process:
If this sounds like the kind of opportunity you've been looking for, select the 'Apply Now' button below to submit your cover letter and resume. Use your cover letter to introduce us to you; we want to know who you are, what you've worked on and why you think you'd be a great addition to the Finder team.

Inclusion
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Email talent@finder.com with any questions or feedback.

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