Data scientist with Java expertise

Apply
Apply

Share

successfully icon

Successfully

The vacancy has been successfully added to favorites

location icon

Remote Costa Rica, Costa Rica

relocation icon

Relocation friendly

specialization icon

Data Science

lob icon

HLS & Consumer industry

date icon

22/10/2025

Req. VR-118052

Apply
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
bullet icon

We are looking for an experienced Data Engineer with Machine Learning expertise and good understanding of search engines, to work on the following:

bullet icon

Design, develop, and optimize semantic and vector-based search solutions leveraging Lucene/Solr and modern embeddings.

bullet icon

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

bullet icon

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

bullet icon

Integrate ML models and search capabilities into production systems.

bullet icon

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

bullet icon

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

bullet icon

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

Skills

Must have

bullet icon

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

bullet icon

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

bullet icon

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

bullet icon

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

bullet icon

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

bullet icon

Experience deploying and maintaining ML/search systems in production.

bullet icon

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

Nice to have

bullet icon

Experience of work in distributed teams, with US customers

bullet icon

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

bullet icon

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

bullet icon

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

bullet icon

Experience with MLOps and model monitoring tools.

bullet icon

Contributions to open-source search or ML projects.

Other
seniority icon

Languages

English: B2 Upper Intermediate

seniority icon

Seniority

Senior

Remote Costa Rica, Costa Rica

Req. VR-118052

Data Science

HLS & Consumer industry

22/10/2025

Req. VR-118052

Apply for Data scientist with Java expertise in Remote Costa Rica

*Indicates a required field

Under the terms of your specific consent or to perform our obligations under a contract with you, as applicable, we, Luxoft Holding Inc. will manually and electronically process your personal data, specifically your first name, last name, phone number, e-mail address and other data you provide us through this form.


Within this context, we process personal data only for the specific purpose(s) indicated in the individual consent language or other notices provided below.


We will – insofar as reasonably necessary for the purpose you have agreed to and within the scope of applicable laws – transfer your personal data to other entities within the Luxoft Group and to the group of third party recipients listed in our Privacy Notice. Such Recipients can be located outside the European Union (EU) and/or the European Economic Area (EEA) (“Third Countries”). The Third Countries concerned, e.g. the USA, may not have the level of data protection that you enjoy e.g. under the GDPR. This can result in disadvantages such as an impeded enforcement of data subjects’ rights, a lack of control over further processing and access by state authorities. You may only have limited legal remedies against this. Insofar our transfer of your personal data to recipients in Third Countries is not covered by an adequacy decision of the EU Commission, we achieve an adequate level of data protection as further detailed out in our Privacy Notice.


With your consent, we personalise marketing communications to you by way of carrying out marketing research analysis, analysing the surfing-behaviour of our website visitors and to adjust it to their detected tendencies, as well as to plan more efficient future marketing activities. This personalised marketing does not include any automated decision-making activities.


Further information on how we process personal data in general is available in our Privacy Notice. You may withdraw any given consent at any time. The withdrawal of your consent(s) will not affect the lawfulness of processing before its withdrawal. For any request in this context, please e-mail us at: DPO@luxoft.com.


Before uploading CV or any other information to this website, to learn more about your obligations and restrictions arising from the use of this website, please read our Terms of Use.