Sensor Tower hiring Senior Data Scientist - Ad Intelligence in Los Angeles, California, United States | LinkedIn (2024)

Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com . All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.

To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.

About this role:Do you want to work for a company with a successful track record of profitability?Are you looking to solve innovative data collection and processing problems at scale?Are you interested in working on high-visibility, rapid-release products?Do you value working with talented, experienced, friendly colleagues?Join us in our journey to change how the world gains insights in digital marketing!The Senior Data Scientist at Sensor Tower will leverage digital advertising along with mobile, desktop, and OTT industry knowledge to drive strategies that improve the accuracy and offerings for our Digital Marketing insights solution. This solution draws upon large-scale data (over 140 billion data records) and allows our customers to uncover insights like which apps or brands are advertising the most by channel and platform, which creatives are performing the best across certain ad networks, which ad network an advertiser is marketing on the most, and how much advertisers are spending in a channel and country.

Base salary: $140,000 - $180,000What You Will Work On

• Execute on the development of data modeling algorithms with a focus on: analyzing large sets of data, building models, ensuring data accuracy, reliability and consistency.
• Develop, refine and bring data models to production. This role will work on models that are consumed by our end users, building internal tools and one time reports as well as working on the actual product that our users consume and rely on every day.
• Consult on the use of AI to improve workflows for data extraction and classification.
• Embrace a quick build, measure and iterate cycle to bring products to market and work alongside world class engineers, and data scientists.
• Act as subject matter expert for our digital advertising.

What We Are Looking For

• Degree in Mathematics/ Statistics/ Computer Science or a related engineering/ technical or quantitative field.

Min 4 years of experience as a Data Scientist in the ad-tech / mar-tech or data analytics companies, including the following experience in:

• business intelligence, data mining, analytics, and statistical modeling disciplines;
• analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership;
• implementing machine learning algorithms, working end-to-end on machine learning pipelines in production;
• data engineering working on ETL pipelines, crawling APIs and websites, and automating outputs (report generation, workflow automation, Google Sheet interaction);
• setting and meeting detailed timelines and expectations while executing projects, developing projects in a resilient way that anticipates future changes and interaction with other parts of the product;
• data research, identifying the necessary edge cases that need to be tested in order to fully understand the data;
• programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies;
• using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau.

$140,000 - $180,000 a year

Technical Blog PostsRead more about what our Engineers and Data Scientists do: https://sensortower.com/blog?category=2037363497

ProductsWe offer unique insights into the digital marketplace for mobile apps and app stores, consumer app usage, digital advertising, and brands with our recent acquisition of Pathmatics.

CustomersWe serve small, independent and Fortune 1000 customers alike, spanning the mobile games, travel & hospitality, music, finance, CPG, and broadcast entertainment markets. We offer our suite of products on free, small-medium-size business, and enterprise tiers to make it accessible to the broadest range of customers.

MediaWe are cited by the world’s leading news and finance media: The Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters.

About Sensor TowerSensor Tower cultivates responsibly sourced market intelligence that provides visibility into the trends shaping the global digital economy. Our customers use these insights to help them make better business decisions.

Why Sensor Tower?Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!

Our benefits for full-time positions include:

• Flexible time off so employees can shape their time away from work.
• Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
• Monthly internet stipend and a one-time $500 home office stipend.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.