Senior Data Scientist @JobCloud

Are you a passionate data scientist eager to take on a new challenge that has the potential to revolutionize the European Job Ads Market? Then keep reading!

We are JobCloud, Switzerland nº 1 brand and experts in the job ads market, and we seek your expertise, ideas, and human skills to build our brand new software while cultivating our dearest value “Love what you do.” in our newly established TX Services company in Porto, Portugal.

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).

Today our mission is to revolutionize 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!

What do we need from you?

We’re looking for an experienced Data Scientist 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 data science, machine learning, and business strategy, working in a high-impact environment where your insights will directly influence monetization, conversion, and customer experience.

What you will be doing

• Design, build, and deploy dynamic pricing models using machine learning and statistical techniques.

• Analyze large-scale behavioral and transactional data to identify pricing opportunities and customer patterns.

• Collaborate with product managers and engineers to translate insights into productized pricing solutions.

• Build and maintain data pipelines and model monitoring tools to ensure ongoing model performance.

• Develop A/B tests and simulations to evaluate the impact of pricing strategies.

• Contribute to the development of pricing tools and dashboards for internal stakeholders.

• Stay current on pricing research, market trends, and competitor strategies.

• Collaborate closely with cross-functional teams, including other Data Scientists and Machine Learning Engineers, to drive innovation and knowledge sharing.

• Support team and department members in learning, training, and usage of data science, machine learning, AI, and LLMs.

Outcome

• Optimization of monetization, conversion, and customer experience across the online platform.

• Driving innovation in dynamic pricing models and strategies.

• Shaping optimization of conversion funnels of job ad life cycles.

What we are looking for

• M.S. or Ph.D. in Computer Science, Robotics, Economics, Statistics, Mathematics, or a similar quantitative field.

• 5+ years of experience in data science, pricing analytics, or a related quantitative role.

• Proficiency in Python, SQL, and libraries such as pandas, scikit-learn, or PyTorch.

• Strong foundation in Machine Learning, time series modeling, and statistics.

• Proven track record of deploying machine learning models to a production environment.

• Experience with dynamic pricing in e-commerce or similar environments.

• Familiarity with Reinforcement Learning or real-time decision-making systems.

• Knowledge of cloud platforms (AWS, GCP, Azure) and data tools (Airflow, dbt, etc.).

Our tech stack

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

What we offer