Yieldmo, Inc. has an opening for a Senior Data Scientist in New York, NY.

The position duties are as follows: Responsible for developing optimization models to enhance the company’s marketplace and using statistical analysis, machine learning, Generative AI, and optimization techniques to help answer questions such as, what is the propensity for a buyer to purchase an ad impression, what price will the buyer pay for the ad impression, and how valuable is this ad opportunity. Serving on a team of data scientists and engineers that is focused on increasing yield to sellers on the marketplace while ensuring that buyers’ performance objectives are met. Using a cutting-edge cloud technology stack to work with a dataset comprising billions of daily records and petabytes of storage, and making hundreds of millions of predictions deployed to environments requiring milliseconds response times. Day-to-day job duties include:

• Collaborating with business, operations, product, and engineering teams across the organization to solve the customers’ problems using data science;
• Developing models that help predict the value of an ad impression on the company’s marketplace;
• Designing and implementing methodologies that improve the performance and scale of advertising campaigns;
• Performing large-scale data analysis and developing optimization algorithms;
• Carrying out predictive analytics and modeling;
• Utilizing AI and machine learning with high dimensionality; and
• Performing statistical data modeling and analysis.

The position requires a Master’s degree in Data Science, Computer Science, Engineering, Finance, Economics, Physics, Mathematics, a related field or foreign equivalent, followed by three (3) years of experience as a Data Scientist or in an equivalent role. In lieu of a Master’s Degree plus three (3) years of experience, employer will accept a Bachelor’s Degree in Data Science, Computer Science, Engineering, Finance, Economics, Physics, Mathematics, a related field or foreign equivalent, followed by five (5) years of progressively responsible experience as a data scientist or in an equivalent role. Experience must include:

1. 2 years of experience leading data science projects;
2. 2 years of experience applying modern machine learning algorithms to massive datasets (raw logs of 200-250 terabytes per day and tables ranging from hundreds of billions to trillions of rows) and creating measurable business value in an ad-tech, mar-tech, fintech, or e-commerce company;
3. 2 years of experience developing algorithms for optimization of programmatic digital ads, TV ads, financial transactions, or online user actions;
4. 2 years of experience in A/B testing in a production environment;
5. 3 years of experience developing working prototypes with proven impact on the business while being a key stakeholder to seeing they are properly implemented in a production environment;
6. 3 years of experience working in at least one programming language (Python, Tensorflow, Scikit, or Google Cloud’s Vertex AI) for data manipulation, analysis, and machine learning, as well as interacting with distributed computing resources;
7. 3 years of experience querying and manipulating data with SQL in an environment that leverages both AWS and GCP infrastructures that includes familiarity with Snowflake, MySQL, DynamoDB and BigQuery; and
8. 3 years of experience applying statistical methods to practical problems.

Role permits full-time telecommuting. Must be available during normal business hours U.S. ET.

Resumes to [email protected]

Compensation Range: $235,000-$250,000