Data Science Manager

iSpot.tv competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

About iSpot:

At iSpot, we empower advertisers to measure the true impact of their TV and streaming campaigns—from concept through airing to conversion. Our fast, accurate, and actionable measurement and attribution solutions enable advertisers to evaluate creative effectiveness, optimize media plans, and attribute results across platforms, all while benchmarking against competitors and historical data. With real-time performance insights seamlessly integrated across linear and streaming TV, iSpot equips advertisers to make swift, confident decisions that drive impactful business results.

About the Role:

We are seeking a Data Science Manager to join our team. In this role, you will 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.

Responsibilities:

You will be responsible for a variety of critical tasks, including:

• 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.
• Implement industry-leading predictive-modelling solutions in support of the company’s syndicated products, and to enable managed service work.
• 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.
• 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.

Qualifications:

• 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.
• 2 years of experience in the following:
  • 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

Salary range: between $163,322 - $174,210/year

Worksite: 15831 NE 8th St., Ste. 100, Bellevue, WA 98008 with the option to work from home anywhere in the U.S.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA; El Segundo, CA; New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

iSpot.tv is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team. California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.