Data Scientist

This is a remote position.

Location: Remote
Engagement Type: Project-based Assignment; B2B Contract
Duration: 6 months with possible extension
Timezone: CET ± 3 hours

Be part of our Global Engineering Network!

One of our clients, an Affiliate Marketing pioneer is looking for a Senior Data Scientist to join their team. You will play a key role in developing world-class, data-driven solutions that provide valuable insights into business operations and help improve clients' bottom-line performance.

Key Deliverables:

• Develop and deploy data science solutions using statistical analysis, machine learning, and predictive modelling techniques.
  
• Analyze large datasets to uncover valuable insights, trends, and business opportunities.
  
• Design and implement strategies for developing and maintaining Data Science models.
  
• Build and maintain internal reporting solutions, dashboards, and analytical tools to support business operations.
  
• Develop standardized client-facing analytical products, dashboards, and predictive models.
  
• Extract, prepare, and process data efficiently to meet business objectives and project timelines.
  
• Operationalize Data Science models by developing, deploying, and integrating web services and APIs.
  
• Monitor, maintain, and continuously improve existing Data Science processes and models.
  
• Research and evaluate new analytical techniques, BI tools, and machine learning methodologies.
  
• Collaborate with business stakeholders and cross-functional teams to understand requirements and deliver impactful data solutions.
  

Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  
• At least 5 years of experience in Data Science, Data Analytics, or Machine Learning.
  
• Experience delivering business-focused analytical solutions is highly preferred.
  
• Proven experience with Python and/or R for data analysis and statistical modelling.
  
• Strong SQL skills with experience querying relational databases.
  
• Experience performing statistical analysis using SQL/USQL.
  
• Experience building dashboards and visualizations using tools such as:
  
• Power BI
  
• R Shiny
  
• Dundas BI
  
• ggplot
  
• Other Python or R visualization libraries
  
• Experience deploying Data Science models into production environments through APIs or web services.
  
• Knowledge of modern BI, Machine Learning, and analytical tools from both backend and frontend perspectives.
  
• Experience with Microsoft Azure is highly desirable.
  

• Clear scope with no ambiguity over deliverables.
  
• Opportunity for repeat engagements based on performance.
  
  

1. Proposal Submission
o Submit your professional profile/CV by applying for the role.

2. Business Alignment Call
o 30-minute virtual discussion with a Human Capital Consultant to review scope and expectations.

3. Verification
o Opportunity to complete Castille Vetting (background and compliance checks).

4. Client Skills Review
o Direct interview with the end client to discuss project specifics.
o Project-specific technical assessment (if required).

Ongoing Business Support
· Access to CX guidance and market insights through our professional network.