Principal Engineer in Data Science and AI/ML

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 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 Principal Engineer in Data Science and AI/ML to join our team.  

The ideal candidate will have a strong background in machine learning and statistical modeling, with a focus on leveraging customer data to drive business growth and optimize acquiring customer acquisition, growth, and retention. As the Principal Engineer, you will play a key role in developing and implementing data-driven strategies to enhance lead generation, lead scoring, customer segmentation, and marketing automation activities. Additionally, you will be responsible for strategizing and optimizing ad campaigns, ensuring maximum conversion rates for our advertisers.  

Key responsibilities for this role will be: 

• Lead Data Strategy: Develop and implement data-driven strategies to drive lead generation, customer acquisition, and retention. 
• Lead Scoring: Use advanced statistical modeling and machine learning techniques to develop lead scoring models, identifying high-potential leads and prioritizing them for targeted marketing efforts. 
• Customer Data Analysis: Analyze customer data to gain insights into customer behavior, preferences, and demographics, enabling more effective lead and account targeting and personalized marketing campaigns. 
• Customer Scoring: Develop customer scoring models to segment customers based on their likelihood to engage, convert, and retain, enabling tailored marketing strategies and personalized customer experiences. 
• Marketing Automation: Derive marketing automation activities based on data insights, optimizing customer engagement and conversion throughout the marketing funnel. 
• Audience Building for Ad Campaigns: Apply data analysis and segmentation techniques to build and refine target audiences for ad campaigns, ensuring maximum relevance and effectiveness. 
• Audience Optimization: Continuously optimize ad campaign audiences during delivery, using real-time data and insights to improve conversion rates and ROI for our advertisers. 
• Collaboration and Leadership: Work closely with multi-functional teams including marketing, product, and engineering to drive data-driven decision-making and ensure alignment with business objectives. Provide leadership and mentorship to junior team members, fostering a culture of innovation and excellence. 

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 engineer in data science and AI/ML; 
• Want to actively participate in decision making; 
• Enjoy working in a team; 
• Easily and openly communicate in English. 

And on the technical side we need: 

• 7+ years of experience in data science, machine learning, and statistical modeling, preferably in a marketing or advertising context;
• Experience in lead/customer scoring would be an advantage;
• Proficiency in programming in Python with experience using data analysis libraries (e.g., Pandas, NumPy, scikit-learn); 
• Programming in R will be an advantage;
• Understanding various databases and data warehouse concepts, experience with designing databases, and strong practical knowledge of SQL;
• Strong knowledge of machine learning algorithms, statistical techniques, and data visualization tools;
• Expertise in data manipulation, cleaning, and preprocessing techniques, particularly with large-scale datasets;
• Experience with big data technologies and platforms such as Hadoop, Spark, or Hive;
• Experience with cloud provider(s): AWS, GCP, and/or OCI;
• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field preferred;
• Excellent communication skills with the ability to translate complex technical concepts into actionable insights for non-technical partners;
• Proven track record of leading data-driven projects from conception to execution, delivering measurable business impact;
• Ability to thrive in a fast-paced, dynamic environment and adapt quickly to changing priorities and requirements. 

We offer: 

• Employment contract; 
• Hybrid working model (our office is located near Plac Zbawiciela in Warsaw);
• Multisport card + private medical care; 
• Access to e-learning and self-development platforms; 
• Office library; 
• English and Polish language lessons; 
• We participate in and speak at conferences, also join/ run public meet-ups; 
• In-house activities: tech talks, hackathons; 
• You can use 10% of your working time to pursue your personal development, and side projects; 
• Active global inclusion and CSR groups; 
• Well located, modern office with lots of amenities – adjustable desks, electronics toolkit, 3D printer ready for you to use, pool table, console, table tennis, massage chair. 

Tools: 

• MacBook Pro; 
• additional monitors; 
• IDE: Visual Studio Code, PyCharm; 
• Jira, Confluence; 
• GitHub; 
• Slack, Zoom. 

If you are passionate about driving innovation and building scalable advertising solutions, we encourage you to apply for this exciting opportunity to lead the development of Paramount's self-serve ads platform. Join us in shaping the future of TV/CTV advertising!