Associate Data Scientist, Advertising

Job Description

Overview and Responsibilities

Advertising on all formats is being reinvented through new business models and the combination of big data, predictive analytics, optimization and other modern data science and analysis techniques. We at Paramount Advanced Advertising are at the forefront of this reinvention and are currently looking for new, key individuals to join our mission! Our Product Science and Data Analytics team is looking for an Associate Data Scientist!
• Work with data scientists, data engineers, and software engineers to deliver analyses sought at underlying business objectives.
• Implement data driven methodologies to improve product performance and capability.
• Monitor and maintain existing prediction, optimization, and simulation engines as well as platform health, as determined by business leadership.
• Implement custom SQL queries against our data warehouse (Redshift/Snowflake), run statistical data analyses, and write custom Python code in a production level environment.
• Ensure technical approaches taken by the Data Science and Analytics team are appropriate for their objective and underlying data structure.
• Brainstorm new functionality and features for future platform improvements.
• Work with semi-technical and non-technical business units in delivering actionable insights from large data sets.

Basic Qualifications
• Understanding of common machine learning algorithms (regression, classification, clustering, etc.), linear & matrix algebra, parametric and non-parametric hypothesis testing/statistics.
• Intermediate Python and SQL skills, High proficiency in Excel (advanced formulas, pivot tables) and PowerPoint.
• Bachelor's Degree in a STEM field with 2+ years professional experience in data analytics, media tech or ad tech.

Additional Qualifications
• Strong written and oral communication skills, including experience building and communicating analytics to non-technical staff.
• Exposure to mathematical optimization methods (specifically linear/mixed-integer programming) and/or with modern optimization tools (Gurobi, CPLEX, PuLP).
• Exposure to projects using AWS based infrastructure, distributed data warehouses (Redshift, Snowflake), and distributed computing (Kubernetes, Docker, Databricks).
• Proficiency working on team-run data science projects (GitHub, Jira).
• Passion for problem-solving and the resourcefulness/tenacity to find answers to difficult open-ended questions.
• Acute attention to detail, strong critical thinking skills, and excellent time management skills.
• Proficiency with extracting insights from cloud-based, large data sets.
• Basic grasp of relational database structures and data management
• Familiarity with cloud-based infrastructure (Amazon Web Services/Snowflake) or Unix/Linux based systems.
• Experience in media at an agency, publisher, or ad-tech firm with a fundamental understanding of how advertising is bought and sold (digital, addressable, and/or linear television).
• An action-oriented, ambitious approach to building products within a fast-paced environment, with focus on changing the way partners perceive our brand.
• Master's Degree/Ph.D. in a STEM field. Professional experience excludes academic/intern-based work.

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ADDITIONAL INFORMATION

Hiring Salary Range: $74,400.00 - 93,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.

https://www.paramount.com/careers/benefits

Paramount is an equal opportunity employer (EOE) including disability/vet.

Jobcode: Reference SBJ-gk0w44-3-12-107-29-42 in your application.