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Data scientist with Java expertise Job Opening In Madrid – Now Hiring Luxoft


Job description

Project description

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.

Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.

Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

Responsibilities

We are looking for an experienced Data Engineer with Machine Learning expertise and good understanding of search engines, to work on the following: - Design, develop, and optimize semantic and vector-based search solutions leveraging Lucene/Solr and modern embeddings.

- Apply machine learning, deep learning, and natural language processing techniques to improve search relevance and ranking.

- Develop scalable data pipelines and APIs for indexing, retrieval, and model inference.

- Integrate ML models and search capabilities into production systems.

- Evaluate, fine-tune, and monitor search performance metrics.

- Collaborate with software engineers, data engineers, and product teams to translate business needs into technical implementations.

- Stay current with advancements in search technologies, LLMs, and semantic retrieval frameworks.

SKILLS Must have

5+ years of experience in Data Science or Machine Learning Engineering, with a focus on Information Retrieval or Semantic Search.

Strong programming experience in both Java and Python (production-level code, not just prototyping).

Deep knowledge of Lucene, Apache Solr, or Elasticsearch (indexing, query tuning, analyzers, scoring models).

Experience with Vector Databases, Embeddings, and Semantic Search techniques.

Strong understanding of NLP techniques (tokenization, embeddings, transformers, etc.).

Experience deploying and maintaining ML/search systems in production.

Solid understanding of software engineering best practices (CI/CD, testing, version control, code review).

Nice to have

Experience of work in distributed teams, with US customers.

Experience with LLMs, RAG pipelines, and vector retrieval frameworks.

Knowledge of Spring Boot, FastAPI, or similar backend frameworks.

Familiarity with Kubernetes, Docker, and cloud platforms (AWS/Azure/GCP).

Experience with MLOps and model monitoring tools.

Contributions to open-source search or ML projects.

#J-18808-Ljbffr

Required Skill Profession

Informática Y Tecnología


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Real-time Data scientist Jobs Trends (Graphical Representation)

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Are You Looking for Data scientist with Java expertise Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Luxoft adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Spain laws and regulations

What Is the Average Salary Range for Data scientist with Java expertise Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Madrid. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data scientist with Java expertise?

Key qualifications for Data scientist with Java expertise typically include Informática Y Tecnología and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data scientist with Java expertise Job Success

Luxoft interview tips for Data scientist with Java expertise

Here are some tips to help you prepare for and ace your Data scientist with Java expertise job interview:

Before the Interview:

Research: Learn about the Luxoft's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data scientist with Java expertise interview at Luxoft, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Luxoft's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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