What you’ll be doing…
You’ll be ensuring that analytics and AI/ML models drive continuous business improvements, bringing more profitable growth and an even better customer experience. You’ll execute the analytics strategy, modeling strategy and champion that strategy across the business, in order to create buy-in for data-driven decision making. Your end goal is to recommend improvements that will go straight to the bottom line, by helping us serve our customers.
- Building predictive models using AI and ML algorithms
- Building AI driven audience strategies for Marketing campaigns and offers
- Creating & automating sales, service, network and marketing intervention streams driven by model outputs to drive growth, mitigate churn and improve CX
- Building dashboards to measure the effectiveness of the intervention programs
What we’re looking for...
You are a master at analyzing big data. You thrive in an environment where enormous volumes of data are generated at rapid speed. You’re a creative thinker who likes to explore and uncover the issues. You are decisive. Communicating what you’ve uncovered in a way that can be easily understood by others is one of your strengths.
You are great at influencing up, down, and across groups.
You’ll need to have:
- Bachelor’s degree and three or more years of relevant work experience.
- Experience in applying statistical ideas and methods to data sets to answer business problems.
- Experience in building predictive models using Machine learning algorithms
- Experience with visual science and dashboard design principles.
Even better if you have:
- Degree in mathematics, statistics, physics, engineering, computer science, or economics.
- Expertise with Tableau or similar visual analysis tools, optimization, analytics and large data sets, developing visually compelling interactive dashboards.
- Strong understanding of database concepts (Oracle, MS SQL, generic SQL, etc.).
- Strong understanding in visualization tools like Tableau
- Strong understanding of data warehouse and data lake architecture (GCP, Teradata, Hadoop).
- Strong understanding on ML tools including R, Python, SAS, SPSS, DataRobot, H2O
- Strong understanding in AI & Gen AI tools
- Good understanding of third party analytic tools.
- Experience with general purpose programming languages (Java, .Net, Python, Perl, etc.).
- Experience with shell scripting tools in Windows, Linux/Unix is a plus.
- Experience with data aggregating tools such as SPLUNK is a plus.
Where you’ll be working
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.