Senior Data Scientist @JobCloud

<h6><br/></h6><p>Are you a passionate <strong>d</strong><strong>ata scientist</strong> eager to take on a new challenge that has the potential to <strong>revolutionize the European Job Ads Market</strong>? Then keep reading!</p><p dir="ltr">We are <strong>JobCloud</strong>, Switzerland nº 1 brand and experts in the job ads market, and we seek your expertise, ideas, and human skills to build our <strong>brand new software</strong> while cultivating our dearest value <strong>“Love what you do.” </strong>in our newly established <strong>TX Services</strong> company in <strong>Porto</strong>, <strong>Portugal</strong>.</p><p dir="ltr">A decade ago JobCloud conceived a concept ahead of its time - a product designed to efficiently manage and optimize the usage of the customer’s hiring budget while identifying the optimal channels to maximize the visibility of job ads (AI/ML are key to optimizing this process) and effectively reach the target public (potential employees).</p><p dir="ltr"><strong>Today our mission is</strong> <strong>to revolutionize</strong> the industry standard shifting away from the current job ads paradigm of Pay per Duration toward Pay per Performance. What was once merely a concept is now on the cusp of becoming a reality!<br/></p><h4><strong>What do we need from you?</strong></h4><p dir="ltr">We’re looking for an experienced <strong>Data Scientist</strong> to join our team and help us drive innovation in the European Job Ads Market through advanced pricing strategies and data-driven optimization. You’ll operate at the intersection of <strong>data science, machine learning, and business strategy</strong>, working in a high-impact environment where your insights will directly influence monetization, conversion, and customer experience.<br/></p><h4><strong>What you will be doing</strong></h4><ul> <li dir="ltr"><p dir="ltr">Design, build, and deploy dynamic pricing models using machine learning and statistical techniques.</p></li> <li dir="ltr"><p dir="ltr">Analyze large-scale behavioral and transactional data to identify pricing opportunities and customer patterns.</p></li> <li dir="ltr"><p dir="ltr">Collaborate with product managers and engineers to translate insights into productized pricing solutions.</p></li> <li dir="ltr"><p dir="ltr">Build and maintain data pipelines and model monitoring tools to ensure ongoing model performance.</p></li> <li dir="ltr"><p dir="ltr">Develop A/B tests and simulations to evaluate the impact of pricing strategies.</p></li> <li dir="ltr"><p dir="ltr">Contribute to the development of pricing tools and dashboards for internal stakeholders.</p></li> <li dir="ltr"><p dir="ltr">Stay current on pricing research, market trends, and competitor strategies.</p></li> <li dir="ltr"><p dir="ltr">Collaborate closely with cross-functional teams, including other Data Scientists and Machine Learning Engineers, to drive innovation and knowledge sharing.</p></li> <li dir="ltr"><p dir="ltr">Support team and department members in learning, training, and usage of data science, machine learning, AI, and LLMs.</p></li> </ul><p dir="ltr"><strong><em>Outcome</em></strong></p><ul> <li dir="ltr"><p dir="ltr">Optimization of monetization, conversion, and customer experience across the online platform.</p></li> <li dir="ltr"><p dir="ltr">Driving innovation in dynamic pricing models and strategies.</p></li> <li dir="ltr"><p dir="ltr">Shaping optimization of conversion funnels of job ad life cycles.</p></li> </ul><p dir="ltr"></p><ul> </ul><h4><strong>What we are looking for</strong></h4><ul> <li dir="ltr"><p dir="ltr">M.S. or Ph.D. in Computer Science, Robotics, Economics, Statistics, Mathematics, or a similar quantitative field.</p></li> <li dir="ltr"><p dir="ltr">5+ years of experience in data science, pricing analytics, or a related quantitative role.</p></li> <li dir="ltr"><p dir="ltr">Proficiency in Python, SQL, and libraries such as pandas, scikit-learn, or PyTorch.</p></li> <li dir="ltr"><p dir="ltr">Strong foundation in Machine Learning, time series modeling, and statistics.</p></li> <li dir="ltr"><p dir="ltr">Proven track record of deploying machine learning models to a production environment.</p></li> <li dir="ltr"><p dir="ltr">Experience with dynamic pricing in e-commerce or similar environments.</p></li> <li dir="ltr"><p dir="ltr">Familiarity with Reinforcement Learning or real-time decision-making systems.</p></li> <li dir="ltr"><p dir="ltr">Knowledge of cloud platforms (AWS, GCP, Azure) and data tools (Airflow, dbt, etc.).</p></li> <li dir="ltr"><p dir="ltr"></p></li> </ul><h4><strong>Our tech stack</strong></h4><p dir="ltr">Java (Spring Framework), Scala, Python, Angular (v11, Material UI), Docker, GitHub, Jenkins, EKS, ECR, Keel, Terraform, WAF, RDS, Prometheus, Grafana, Datadog, Cloudwatch, k8s, EC2, MongoDB, Snowflake, Kafka, REST, Lamda / Serverless, Single Store, Athena, S3, ELK, Row and Column Stores / Databases, EMR, Microservices</p><h4><strong>What we offer</strong>