Data Scientist

Job Description 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 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.