iSpot needs to empower advertisers to measure the true impact of their TV and streaming campaigns, and this role will contribute to data-science-driven solutions for the company's business goals.
Requirements
- Programming in R or Python
- Using Apache Spark with application to machine learning or ETL pipelines
- Linux or Unix; git and github.com
- Implementing predictive modelling using at least 3 of the following: scikit-learn, xgboost, Spark ML, or H2O.ai.
- 1 year of experience with AWS S3
Responsibilities
- Implement industry-leading predictive-modelling solutions in support of the company’s syndicated products, and to enable managed service work.
- Monitor security risks and implications of access to certain types of data.
- Test and augment the functionality of algorithms, both in isolation and within a production-style pipeline.
- Provide ad-hoc support to the Analytics Team to fulfil their managed service client deliverables.
- Work with the Product team, Project Management team, and Senior Director of Data Science to plan and strategize data-science-driven solutions for the company’s business goals; draft and review business requirement documents; contribute to data science project plans.
- Manage a Data Scientist, including assist in hiring and onboarding, set personal goals, conduct semi-annual performance reviews, track progress regularly via one-on-one meetings, and provide advice and mentoring on all relevant projects and work.
Other
- Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
- Master’s degree or foreign equivalent in Statistics, Data Science, Applied Urban Science and Informatics, or related field
- 2 years of experience as a Data Science Manager, Sr. Data Scientist, Data Scientist, Statistician, or similar duties under a different job title.
- Worksite: 15831 NE 8th St., Ste. 100, Bellevue, WA 98008 with the option to work from home anywhere in the U.S.
- Hybrid & Flexible Workplace Policy
