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

Ideal Profile

• 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.

Why

Partner with Us?

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

Selection Process

• Proposal Submission

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

• Business Alignment Call

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

• Verification

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

• 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.