Principal Engineer in Data Science and AI/ML

2 miesięcy temu

Mokotowska Warszawa, Polska Paramount Pełny etat
Drive Innovation in TV/CTV Advertising

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.

Key Responsibilities
  • 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.
Requirements
  • 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.
What 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.

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