Equifax - Data Scientist - Statistical Modeling

This position allows the successful incumbent to develop deep technical and broad commercial skills by being exposed to, and working on a wide variety of internal projects.

Working as part of a large, sophisticated analytics team, this role will be required to:

Manipulate and analyse data for the development and validation of predictive models in the areas of credit risk, demographics, marketing, fraud and ratings, in distributed computing environment.

Monitor Equifaxs cutting edge scorecards and risk tools.

Create business case and analytic insight materials that show the value of predictive modelling and visualise the insights.

Conduct ad hoc queries such as bureau insights, testing solutions.

Lead small projects and quality check own and others outputs guide junior data scientists.

Maintain documentation that supports Analytics platform of databases, data products and analytical solutions.

What Youll Do :

Project Leadership / Mentoring :

- Mentor Analysts through development process.

- Driving a focus on learning so that the team benefits from your coaching and other learning events that contribute to improved performance.

- Develop and maintain a network of influence.

- Demonstrate leadership by example.

Data Analysis

- Leading statistical and data analysis, sometimes as project team leader.

- Demonstrate analytic leadership in the approaches used and proactively provide technical guidance and support to analysts.

- Demonstrate a high level of skill in programming required to perform analysis such as demonstrated experience with SQL, R, Python and Tableau on Cloud environments such as GCP or equivalent.

- Process and analyse large volumes of data in the development of insights.

- Prepare documentation for all work, to ensure that an audit trail is sufficient for a colleague to be able to quality review and/or repeat your analysis.

- Quality check your own and other analyst work output to ensure error-free delivery of information and analysis.

- Develop extensive repertoire of analytical methodologies and techniques for investigating data relationships and insights.

- Adhere to Equifax project management standards and effective use of project management resources (methodology, templates, time recording systems and project office).

Product and Service :

- Contributing to analytic roadmap, product development and innovation.

- Develop a detailed understanding of the full product and service offering available through Equifax as well as the market dynamics and requirements within the data driven marketing space.

- Proactively use this understanding to work with the team and stakeholders to enhance and expand Equifaxs data and insights assets.

What Experience You Need :

- BS degree in a STEM major or equivalent discipline.

- 5-7 years of experience in a related analytical role.

- Proven track record of designing and developing predictive models in real-world applications.

- Experience with model performance evaluation and predictive model optimization for accuracy and efficiency.

- Cloud certification strongly preferred.

- Additional role-based certifications may be required depending upon region/BU requirements.

Process Improvement and Efficiencies :

- Drive transition to more advanced modelling environments, utilising distributed computing and methodologies such as machine learning.

- Demonstrate an understanding of business needs, making recommendations relating to new or improved data and insights assets.

- Supporting the other teams within the Analytics function by working with them to improve processes as needed.

Systems and Processes

- Develop a detailed understanding of Equifax databases, data structures and core data analysis procedures, as well as maximising output through a Hadoop based file system.

- Develop understanding of best practice model management framework to ensure Equifaxs models remain optimal in terms of performance and stability.

- Develop familiarity with Equifaxs documented project management methodology and resources (templates, time recording system, work scheduling etc.

What Could Set You Apart :

- Passion for data science, data mining, machine learning and experience with big data architectures and methods.

- A Master's degree in a quantitative field (Statistics, Mathematics, Economics).

- Cloud certification such as GCP strongly preferred.

- Self Starter.

- Excellent communicator / Client Facing.

- Ability to work in fast paced environment.

- Flexibility work across A/NZ time zones based on project needs.