Sr/Staff Software Engineer in Data Science

Unleash your potential in a place you belong!  

  

At Paramount Networks International (part of Paramount Global), we have an iconic portfolio of brands, like Paramount Pictures, MTV, Nickelodeon, Channel 5, Comedy Central and many more, reaching more than 3.8 billion subscribers in 180+ countries and territories, via more than 200 locally programmed and operated TV channels and more than 550 digital media and mobile TV properties, in 40 languages.   

  

Come and join a culture where content, people and ideas merge. An exciting and open place where your talents can truly thrive and where our employees make it unique. You could be the next addition to our incredible team!  

 

 

Paramount Tech in Warsaw plays a crucial role in Paramount’s global engineering organization. Through our projects, we make sure that millions of users worldwide can enjoy Paramount content through web, mobile, and TV applications. 

 

What we do: 

At Paramount, we're revolutionizing the way small and medium businesses advertise on TV and Connected TV (CTV). Our innovative Self Serve Ads Platform empowers businesses of all sizes to create impactful advertising campaigns at ease, reaching audiences through the power of television and streaming.  

 

Currently, we are seeking a talented and experienced Senior/Staff Software Engineer in Data Science to join our team!  

 

As the “Senior/Staff Software Engineer in Data Science, SMB Advertising”, you will drive the optimization efforts across our TV and Connected TV advertising platforms. You will play an instrumental part in improving attribution models, optimizing ad delivery strategies, enhancing machine learning relevancy scoring algorithms, and improving the performance of TV/CTV advertising that drives discovery, relevancy, and sales.  

 

Key responsibilities for this role will be: 

 

• Develop and implement advanced data models and algorithms to optimize TV/CTV delivery and attribution, including relevance and ranking, and multi-touch/cross-channel attribution, 

• Build predictive models to forecast user behavior and campaign outcomes, demonstrating machine learning techniques such as regression, classification, and clustering, 

• Design and implement data models and innovative algorithms on high-dimensional, fast-paced, unstructured, and structured data, 

• Collaborate with multi-functional teams to craft and implement experiments sought at improving advertising delivery and relevancy scoring and ROAS, 

• Analyze large datasets to identify trends, patterns, and insights related to TV/CTV advertising performance, 

• Apply advanced statistical methods to evaluate the efficiency of advertising campaigns and recommendations, 

• Develop methodologies to monitor and visualize advertising performance metrics, providing actionable insights to partners, 

• Run large-scale statistical A/B testing to evaluate performance of machine learning and statistical models in advertising applications, 

• Stay ahead of with industry trends and emerging technologies in TV and CTV advertising, applying new methodologies to drive continuous improvement. 

 

 

How we work: 

• Our teams own “how” decisions - we are autonomous regarding the architectural choices, technologies, and approach to providing high-quality solutions;  

• Our Engineers are involved in every stage of SDLC; 

• Our divisions are built from various engineers, i.e. Backend, Mobile, DevOps, Test Automation and System Engineers, Product Owners, Scrum Masters, Agile Coaches; 

• Our products are exposed to millions of users globally; 

• We focus on test automation and code quality – and we do that by automating whatever is possible! 

• The majority of business clients are located in NY or London; 

• Every project is run based on Agile principles using Scrum / Kanban. 

 

We are looking for Engineers that: 

• Will provide support for less experienced engineers - knowledge sharing and mentoring is important to us; 

• Keep up to date with modern web technologies; 

• Are curious, with a desire to learn and the ambition to quickly become a self-reliant, top-notch software engineer in data science; 

• Want to actively participate in decision-making; 

• Enjoy working in a team; 

• Easily a