Data Science Specialist/405CHF - 510 CHF pd

Data Science Specialist with 5-10 years' experience required to join a leading client based in Switzerland.

This is a nearshore role; candidates are required to be based in a European county.

Contract duration: 12 months +

Daily rate 405 CHF - 510 CHF depending on experience

Essential skills & experience:

• University degree in mathematics, statistics, machine learning, data science or related field.
• Proficient in Python and associated machine learning and data manipulation libraries.
• In-depth understanding of web analytics, digital marketing metrics, and tools.
• Strong understanding of ROI and performance modelling for marketing and customer analytics.
• Expertise in clustering, classification, and attribution modelling techniques.
• Proven expertise in time series analysis for trend detection, forecasting, and anomaly detection in business metrics.
• Knowledge of Natural Language Processing (NLP) and entity recognition.
• Experience with cloud platforms and architecture.
• Familiar with CI/CD frameworks and automated deployment practices.
• Knowledge of provisioning of data APIs.
• Skilled in using data visualization tools
• Proven ability to work with cross-functional teams, effectively communicate findings, and integrate data-driven insights into business processes.

Required software development skills/tools

• Python
• Jupyter
• SQL
• Tableau
• AWS
• QuickSight
• Athena
• Glue
• Spark

Duties:

• The Data Science Specialist provides the required expertise to design and deploy data products in the Enterprise Analytics Platform, using an interactive/agile approach.
• Provide on-demand analyses related to customer behaviour, lead generation, and marketing impact.
• Conduct visitor clustering and customer value prediction to optimize targeting and engagement.
• Develop attribution models to assess lead sources and conversion metrics.
• Create predictive models for customer lifetime value, engagement, and retention.
• Design unique value proposition proofs and help qualify leads by remodelling feedback data.
• Support customer and financial product modelling to personalize lead generation efforts.
• Implement automation in lead generation and customer segmentation.
• Engage with stakeholders across marketing, CRM, and digital analytics teams to ensure alignment.
• Translate complex analytical results into actionable insights for business users.
• Collaborate to define and prioritize data features for modelling tasks, providing MDM and CRM support where necessary.
• Define relevant features for Datamodelling and collaborate with the project team in their implementation.
• Perform other related duties as required.

Deliverable:

• Issue reports managed via JIRA.
• Detailed reports on lead generation effectiveness and customer insights.
• Advanced models and analyses focused on customer value prediction, lead attribution, and feedback qualification.
• Visual documentation, including data flow diagrams, model architecture charts, and process maps.
• Time series models for trend analysis and forecasting in customer engagement metrics.
• API endpoints for data provisioning, personalization, and dynamic content retrieval.
• Comprehensive dashboards for journey tracking, funnel analysis, and visitor clustering.
• Reproducible experiments and predictive models implemented in Jupyter notebooks.
• Model and data cataloguing documentation for reproducibility and audit purposes.

Please get in touch for further details on this excellent, long term contract opportunity.