Empleos de dataxstream

Data Scientist (Mid-Level, Delivery – OMS+IA)

Job Summary

We are looking for a mid-level Data Scientist to join our Delivery organization, focused on implementing OMS+IA, a machine learning-powered order management system that integrates with SAP. In this role, you will collaborate with clients and internal teams to prepare data, develop models, and enhance search-driven features using OpenSearch to deliver intelligent automation within enterprise order processing.

Key Responsibilities

• Analyze client data to uncover patterns, identify inefficiencies, and support AI use case development in OMS+IA.
• Design and tune vector-based and keyword-based search experiences.
• Build and customize predictive models (e.g., anomaly detection, segmentation, prioritization) using real-world customer data.
• Collaborate with delivery consultants to define search requirements and integrate data pipelines into OMS+IA solutions.
• Develop and optimize relevance ranking strategies, filters, and scoring logic for custom search implementations.
• Visualize data insights and create dashboards or reports for internal and external stakeholders.
• Validate and tune ML and search models based on client-specific data and feedback loops.
• Contribute to documentation, delivery playbooks, and customer-facing analytics artifacts.

Required Qualifications

• 3–5 years of experience in data science roles involving hands-on analytics and modeling.
• Experience with search platforms, including OpenSearch, Elasticsearch, Apache Lucene, or Apache Solr and understanding of their query DSLs, analyzers, and indexing strategies.
• Proficient in Python and/or R, and data libraries like Pandas, scikit-learn, NumPy, or XGBoost.
• Solid understanding of vector similarity search and embedding-based retrieval.
• Proficiency with SQL and data manipulation across different formats and sources.
• Experience communicating analytical and search relevance findings to technical and non-technical audiences.
• Ability to support model validation, QA, and iterative refinement in live delivery cycles.

Preferred Qualifications

• Hands-on experience with data ingestion pipelines, KNN indexes, and hybrid (BM25 + vector) search strategies.
• Familiarity with SAP data structures or enterprise systems integration.
• Experience working in delivery or consulting environments with external customers.
• Background in operations research, supply chain analytics, or business process intelligence.
• Master’s degree in Data Science, Statistics, or a related field is a plus.