Senior Machine Learning Scientist
QlooSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Media, Advertising Technology, Data & AnalyticsIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What does the compensation package include at iSpot?
Compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits.
Is this Data Scientist role remote or office-based?
This information is not specified in the job description.
What technical skills are required for this Data Scientist position?
The role requires writing and optimizing R, Python, or SQL scripts, solid machine learning and statistical skills, and creating visualizations or reports.
What is the culture like on the Client Data Science team?
The team thrives on innovation, employs cutting-edge techniques, and is fueled by a passion for growth in a collaborative, fast-paced environment obsessed with data accuracy.
What makes a strong candidate for this Data Scientist role?
Strong candidates share an obsession with data accuracy, possess insatiable curiosity for learning, have strong coding skills in R, Python, or SQL, machine learning and statistical expertise, and excel in a collaborative, fast-paced setting.
iSpot.tv
TV ad measurement and attribution services
About iSpot.tv
iSpot.tv specializes in TV Attribution, helping businesses understand the impact of their TV advertising on real-world results like store visits and sales. Their platform uses data from a large collection of TV ads and insights from 12 million opted-in Smart TVs to provide real-time measurement of ad impressions and viewer attention. iSpot primarily serves disruptive brands across various industries, offering a subscription-based service that integrates with clients' existing marketing tools to enhance the effectiveness of their TV campaigns. Unlike competitors, iSpot focuses on delivering advanced analytics and insights that allow brands to optimize their advertising strategies based on actual business outcomes. The company's goal is to empower brands to maximize their advertising investments through precise measurement and actionable insights.
Bellevue, WashingtonHeadquarters
2012Year Founded
$372.3MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Consumer Software, EntertainmentIndustries
201-500Employees
Benefits
Stock Options
Hybrid Work Options
Flexible Work Hours
Risks
Competition from companies like FuboTV could challenge iSpot's market share.
Former iSpot executives joining competitors may lead to knowledge transfer risks.
Complex media landscape may affect the effectiveness of iSpot's collaborations.
Differentiation
iSpot.tv offers real-time analytics for TV ads, unlike legacy solutions.
The company provides cross-platform measurement, unifying TV and digital ad performance.
iSpot.tv's platform integrates seamlessly with existing marketing tools for enhanced ad optimization.
Upsides
Growing demand for cross-platform measurement boosts iSpot.tv's market potential.
Partnerships with companies like Roku enhance iSpot.tv's data accuracy and ad targeting.
The rise of programmatic TV advertising increases demand for iSpot.tv's advanced capabilities.
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