Data Scientist

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Job Description

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data-driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data-driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Work from home
• Celebrations
• Entertainment area
• Great work environment
• Private medical insurance

*Benefits may vary according to your location and/or availability. Request further information when applying.

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At INDI, we're passionate about empowering individuals and businesses worldwide. Our cutting-edge recruiters connect leading companies with top talent, fostering a dynamic environment where innovation thrives. Join us in shaping the future of work.

Overview of the role:

We are looking for Data Science Seniors to join our Development team and participate in different projects made up of multicultural teams distributed throughout the world. We are looking for proactive people, team players passionate about programming in this language and oriented to provide the best experience to the end user. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing companies in the industry

These developers will face numerous technical challenges, so they must use current technologies, get involved in the mobile world, web applications, devices, etc.

Key responsibilities:

- Work together with developers, tech leads and solution architects to build applications.

- Improve existing structures by adding new functionalities or proposing technological updates so that as a result, the impact of your contribution is significant in the core of each business.

- The result of your work will also allow you to improve the user experience on scalable and high availability platforms, contributing to the key differential of each business.

Requirements:

- 6+ years of experience working as a developer.

- 5+ years of experience working as a Data Scientist.

- Proficient with analysis, troubleshooting, and problem solving.

- Hands-on experience with managing data loads and data quality is a plus.

- Advanced English level.

• Flexibility: Choose where and how you work for enhanced creativity and innovation.

• Tailored Compensation: Personalize your earnings to suit your financial goals.

• Tech-Driven Tools: Access cutting-edge resources for seamless collaboration and productivity.

• Autonomous Workflow: Take control of your schedule to achieve work-life balance.

• Well-being: Enjoy generous leave policies for rest and rejuvenation.

• Diversity & Inclusion: Thrive in a diverse and inclusive environment.

• Collaboration: Engage with industry leaders for collective growth.

• Development: Access mentorship and growth opportunities for continuous advancement.

If you are interested in being part of a team composed of the best professionals and working 100% goal-oriented in an innovative environment, but with the structure and resources of a multinational market leader, do not hesitate to apply

Hoje

We’re seeking aSenior Data Scientist to lead the development of advanced AI solutions that power deep research, scientific reasoning, and strategic decision-making. You’ll work withlarge language models (LLMs) ,retrieval-augmented generation (RAG) systems, andGraph-RAG architectures to create intelligent tools that extract and synthesize insights from complex, unstructured data.

This role is ideal for someone who thrives at the intersection of machine learning, knowledge representation, and real-world impact, and who is excited to help shape the future of how research is conducted in global health, legal, scientific, and financial domains.

What You'll Do

• Design and developLLM-powered applications for tasks such as document analysis, summarization, knowledge extraction, and reasoning.
• Build and optimizeRAG pipelines with custom retrieval logic, vector databases, and hybrid search strategies.
• Implement and integrateknowledge graphs into AI systems for enhanced explainability and structured reasoning (Graph-RAG ).
• Own the full pipeline from data ingestion and preprocessing (e.g., PDFs, scientific papers, grant documents) to model deployment.
• Collaborate with engineers and domain experts to define requirements, evaluate outputs, and iterate rapidly.

What You Bring

• M.Sc. or Ph.D. in Computer Science, or related field.
• Proven experience withLLMs , including prompt design, fine-tuning, and evaluation.
• Strong understanding ofretrieval-based systems (e.g., FAISS, Weaviate, Elasticsearch, Pinecone).
• Experience withLangChain ,LlamaIndex ,HuggingFace Transformers , andPyTorch .
• Familiarity withknowledge graph design and integration (e.g., Neo4j, RDF, NetworkX).
• Solid software engineering practices and hands-on coding ability inPython .
• Experience with cloud-based or on-prem AI deployments, ideally in secure or hybrid environments.
• Ability to lead projects independently, collaborate cross-functionally, and explain complex technical concepts clearly.

Nice to Have

• Familiarity withGraph-RAG ,Anthropic’s MCP , or agentic system orchestration.
• Experience working with sensitive, domain-specific data (e.g., healthcare, global development, legal).
• Contributions to open-source projects, publications, or technical blogs.
• Knowledge of scientific reasoning, ontologies, or structured metadata in research workflows.

Why Join Us

• Shape the next generation ofAI research tools grounded in real-world needs.
• Join a fast-paced, mission-driven team with opportunities to own high-impact projects.
• Flexible, remote-friendly environment with strong learning and innovation culture.

Job Type: Full-time

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