Data Alchemist: Transform Marketing Insights into Digital Gold, Pavia Client: Like Reply Location: Pavia Job Category: Other EU work permit required: Yes Job Reference: 738773069560859852833713 Job Views: 2 Posted: 12.05.2025 Expiry Date: 26.06.2025 Job Description: Are you passionate about turning raw data into actionable insights? Do you thrive on solving complex problems and driving business growth through data-driven strategies? Like Reply, a cutting-edge digital marketing agency within the Reply Group, is seeking a talented and motivated Data Scientist to join our innovative team! Why Like Reply? At Like Reply, we're pioneers in digital marketing, constantly pushing boundaries. As part of Reply, we have global resources combined with startup agility. Your Impact You will be at the forefront of digital marketing analytics, influencing strategies, customer engagement, and ROI for our clients. This role offers the chance to make a significant impact in a fast-paced environment! What You'll Do Gather, organize, and normalize complex data sources, defining analytical processes and building models. Create and manage optimization models using forecasting, recommendations, and classification techniques. Develop measurement models with Data-Driven Attribution and econometric methods. Define data mining procedures for insight and discovery. Implement monitoring and improvement processes for Machine Learning models. Build Data Visualization tools using platforms like Looker Studio, Power BI, and Tableau. Translate business needs into data analysis and design. Communicate results to support decision-making. Serve as a point of contact for various business divisions for analysis and modeling. Share data-driven knowledge within the company. What We're Looking For Passion for data and its business potential. Experience in data mining, analysis, ML, Big Data, and heterogeneous datasets. Strong programming skills in Python, R, or similar. Experience with Hadoop, SQL, Spark, Databricks, and cloud platforms like AWS and Azure. Knowledge of Machine Learning techniques: regression, time series, clustering, classification, PCA, recommendations, neural networks. Experience with unsupervised models and Deep Learning frameworks. Solid statistical knowledge. Excellent communication skills for technical and non-technical audiences. Curiosity and a drive to learn and innovate. Join Like Reply to shape the future of digital marketing with your analytical skills. Apply now and be part of a team redefining data-driven marketing! J-18808-Ljbffr