ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: JUNIOR DATA SCIENTIST
Company: IRIUM
Location: Viladecans, Catalonia, Spain
Description:
&#128640;En IRIUM nos preocupamos porque no dejes de perseguir tus sueños. Prepárate para conquistar tus metas, y ten siempre presente disfrutar del camino.

&#128269;Actualmente nos encontramos en búsqueda de JUNIOR DATA SCIENTIST, con 2 años de experiencia.

&#127919;¿Qué esperamos de ti?


Profesional con dominio de Python y de las bibliotecas comunes de ciencia de datos
Sólidos conocimientos de gestión de datos, análisis estadístico básico y fundamentos de aprendizaje automático
Buenas habilidades de comunicación y trabajo en equipo
Grado o Máster en Ciencia de Datos, Informática, Matemáticas o un campo relacionado.
Stack tecnológico:
Obligatorio: Python, Pandas, NumPy, Scikit-learn, Machine Learning, Manipulación de datos, Análisis estadístico, AWS
Deseable: Algoritmos Genéticos, Particle Swarm Optimization, Clasificación de texto, Embeddings, Matplotlib, Seaborn, Plotly, SQL, ETL, Git, Azure


&#10145;&#65039; ¿Cuáles serán tus funciones como JUNIOR DATA SCIENTIST?


Recopilar, limpiar y preprocesar datos de fuentes internas y externas
Analizar datos para identificar tendencias, patrones y anomalías
Apoyar en el desarrollo de modelos de machine learning (regresión y clasificación)
Contribuir a la evaluación y mejora del rendimiento de los modelos
Colaborar con expertos del negocio para entender requisitos funcionales
Traducir necesidades del negocio en problemas de datos y matemáticos
Trabajar junto a científicos de datos senior e ingenieros para llevar modelos a producción
Comunicar hallazgos técnicos de forma clara a perfiles no técnicos
Utilizar librerías y herramientas en Python para análisis y modelado
Ganar experiencia trabajando en entornos cloud, especialmente AWS


&#11088;¿Qué ofrecemos si te unes a nosotros?


Modalidad híbrida: 2-3 días de asistencia a la oficina a la semana, el resto en remoto. &#128187;
Ubicación: Viladecans, Barcelona. &#127757;
Inglés C1
Retribución flexible (seguro médico, restaurante, transporte y guardería) ✌
23 días de vacaciones &#127957;&#65039;
Buen clima laboral &#128589;‍♀&#65039;&#128589;‍♂&#65039;
Acceso ilimitado a formación tecnológica puntera en modalidad barra libre&#128218;
Contrato indefinido con IRIUM. &#128220;
Club de beneficios para empleados con descuentos directos y miles de ofertas en marcas, hoteles, agencias de viaje, cines, ropa… &#128176;


IRIUM es una empresa formada por profesionales con inquietudes, dinámicos y resolutivos. Nuestros valores son la responsabilidad y el compromiso con el trabajo bien hecho, este es el espíritu que buscamos, sea cual sea tu edad, si te reconoces ¡esta es tu empresa!

Podemos construir juntos el futuro. ¿Hablamos? &#128154;&#128153;&#128156;

En IRIUM defendemos un mundo sin estereotipos ni limitaciones y creemos en la igualdad para todos, principios que suscribimos en nuestro Plan de Igualdad y Código Ético garantizando la igualdad de trato y oportunidades al margen de cualquier condición personal, física o social.

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Job Title: AI/ML Engineer
Company: TechHeads
Location: County Dublin, Ireland
Description:
🚀 AI/ML Engineer – Drive Innovation in Finance & Telecom




AI/ML Engineer – Remote First (Contract)

Location: Ireland (Remote First - 1 day a week based in Athlone)

Contract Type: Day Rate – €550 per day




Join our client’s dynamic Solutions & Innovation team and help shape the future of AI in capital markets and telecom. This is your opportunity to work at the intersection of advanced technology and real-world application—delivering AI-powered solutions that create tangible value for global enterprises.




Your Role: Bringing Intelligence to Industry

Design Intelligent Models: Develop sophisticated time-series forecasting and anomaly detection models. Contribute to high-impact solutions that solve complex problems for industry leaders in telecoms and finance.
Solve Meaningful Use Cases: Apply your expertise to projects such as RAN anomaly detection, financial signal analysis, and network performance optimisation. See your models deployed in production, where they make real-time decisions that matter.
Engineer Scalable Data Solutions: Build reliable data pipelines using GCP tools like BigQuery and Cloud Functions. Ensure your models are supported by high-quality, scalable data infrastructure.
Deploy and Integrate AI at Scale: Take models from prototype to production using Vertex AI and Cloud Run. Serve models via RESTful APIs for seamless integration into enterprise systems.
Collaborate in a High-Performance Environment: Work closely with solution architects, domain experts, and cloud engineers in agile delivery teams. Share knowledge, learn from others, and thrive in a collaborative setting.
Maintain and Optimise Performance: Define clear metrics, build monitoring tools, and implement retraining pipelines to ensure long-term model reliability and value.




Your Skills: What You Bring

Strong Python & ML Expertise: Proven experience with TensorFlow or PyTorch for building and deploying ML models.
Time-Series & Anomaly Detection: Skilled in analysing multivariate data and detecting subtle signals.
GCP Proficiency: Hands-on experience with Vertex AI, BigQuery, Cloud Run, and related cloud-native tools.
Production-Focused Development: Comfortable with APIs, scalability, and building production-ready AI systems.




Desirable Extras (Nice to Have)

Familiarity with Graph Neural Networks or Transformer architectures
Knowledge of OSS/BSS systems, RAN data, or financial trade surveillance
DevOps skills including Docker, GitHub Actions, and CI/CD pipelines




Why Apply?

Deliver Real Impact: See your work influence critical business decisions in fast-moving sectors.
Work with Experts: Collaborate with some of the brightest minds in AI, cloud, and data engineering.
Cross-Industry Exposure: Contribute to projects spanning 5G, finance, and beyond.
Support for Growth: Be part of a culture that encourages innovation, experimentation, and professional development.




Ready to push the boundaries of AI? Apply now and help transform industries with intelligence.

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Job Title: Data Scientist
Company: Eden Smith Group
Location: Kent, England, United Kingdom
Description:
Are you a recent graduate or early career data enthusiast looking to kick start your career in data science? Do you want to work in a fast paced environment where you can make an immediate impact?




We are hiring a Junior Data Scientist to join a collaborative and innovative team that is shaping the future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on experience in predictive modelling, loss forecasting, and machine learning, all within a growing, tech enabled financial services organisation.




The Role

You will be part of a small, high impact data science team responsible for:

Developing predictive models such as scorecards and machine learning models for customer acquisitions and collections
Supporting loss forecasting for both new business and the existing portfolio
Exploring new data sources and modelling techniques to improve performance and accuracy
Working with tools like Python, T SQL, and Excel to manage data workflows and build solutions
Collaborating across departments with teams in credit risk, finance, capital markets, and operations
Monitoring model performance and contributing to regular validation and compliance reporting




What you'll need?

A degree, or equivalent experience, in a numerate subject such as Mathematics, Statistics, Data Science, Economics, or Physics
1 to 2 years of experience in a data driven environment, or strong academic project experience
Familiarity with modelling techniques like logistic regression or basic machine learning
A keen interest in data science and its applications in finance or risk
Strong attention to detail and a problem solving mindset
A confident communicator who can explain data insights to both technical and non technical audiences
Experience with Python and SQL is essential, experience with AWS or model deployment is a bonus




Why work for us?

Work in a high growth, data first business combining fintech agility with financial service rigour
Be part of a collaborative and forward thinking team where your input matters
Gain exposure to real world business problems and end to end model development
Hybrid working available, with regular team interaction and support
On site parking and scenic office location in Sevenoaks (a driving licence is helpful due to limited public transport)

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Job Title: Data Scientist
Company: Recro
Location: Bengaluru, Karnataka, India
Description:
Job Title: Senior Data Scientist

Location: Onsite – Bangalore

Experience: 7+ years




Role Overview

We are seeking a Senior Data Scientist with a strong foundation in machine learning,

deep learning, and statistical modeling, with the ability to translate complex

operational problems into scalable AI/ML solutions. In addition to core data science

responsibilities, the role involves building production-ready backends in Python and

contributing to end-to-end model lifecycle management. Exposure to computer vision

is a plus, especially for industrial use cases like identification, intrusion detection,

and anomaly detection.

Key Responsibilities

 Develop, validate, and deploy machine learning and deep learning models for

forecasting, classification, anomaly detection, and operational optimization

 Build backend APIs using Python (FastAPI, Flask) to serve ML/DL models in

production environments

 Apply advanced computer vision models (e.g., YOLO, Faster R-CNN) to

object detection, intrusion detection, and visual monitoring tasks

 Translate business problems into analytical frameworks and data science

solutions

 Work with data engineering and DevOps teams to operationalize and monitor

models at scale

 Collaborate with product, domain experts, and engineering teams to iterate on

solution design

 Contribute to technical documentation, model explainability, and

reproducibility practices




Required Skills

 Strong proficiency in Python for data science and backend development

 Experience with ML/DL libraries such as scikit-learn, TensorFlow, or PyTorch

 Solid knowledge of time-series modeling, forecasting techniques, and

anomaly detection

 Experience building and deploying APIs for model serving (FastAPI, Flask)




 Familiarity with real-time data pipelines using Kafka, Spark, or similar tools

 Strong understanding of model validation, feature engineering, and

performance tuning

 Ability to work with SQL and NoSQL databases, and large-scale datasets

 Good communication skills and stakeholder engagement experience




Good to Have

 Experience with ML model deployment tools (MLflow, Docker, Airflow)

 Understanding of MLOps and continuous model delivery practices

 Background in aviation, logistics, manufacturing, or other industrial domains

 Familiarity with edge deployment and optimization of vision models




Qualifications

 Master’s or PhD in Data Science, Computer Science, Applied Mathematics, or

related field

 7+ years of experience in machine learning and data science, including end-

to-end deployment of models in production

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Job Title: Data Scientist
Company: Lenovo
Location: Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Description:
We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Job Responsibilities


Responsible for developing intelligent algorithm models for business scenarios and agent construction.
Focus on machine learning, knowledge graphs, deep learning, large models, etc., and deliver advanced AI solutions through artificial intelligence algorithms, technologies, and platforms.
Study industry algorithm trends and continuously introduce new technologies in combination with business scenarios to build core product competitiveness based on intelligent algorithms.


Qualifications


Familiar with commonly used machine learning, deep learning and other related algorithm models, have a certain understanding of commonly used algorithm models and new technologies in the industry, and have relevant practical experience in artificial intelligence and data mining;
Familiar with large model related models and applications, understand SLM training, model fine-tuning and distillation frameworks and can apply them in practice;
Familiar with commonly used programming tools and components, at least proficient in Python, Pyspark, a programming language, with good programming habits and algorithm foundation;
Have experience in the use of large-scale distributed computing platforms and the development of parallel algorithms; familiar with deep learning frameworks such as tensorflow and pytorch


We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
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Job Title: Data Scientist
Company: Crisil
Location: Bogotá, Capital District, Colombia
Description:
About CRISIL Limited:

CRISIL is a leading, agile and innovative global analytics company driven by its mission of making markets function better.
It has delivered independent opinions, actionable insights, and efficient solutions to over 100,000 customers through businesses that operate from India, the US, the UK, Argentina, Colombia, Poland, China, Hong Kong and Singapore.
It is majority owned by S&P Global Inc, a leading provider of transparent and independent ratings, benchmarks, analytics and data to the capital and commodity markets worldwide.




Position Overview: We are seeking a motivated a Data Analyst to join our team. The ideal candidate will have a strong foundation in supporting business intelligence tools and financial analyses, data modeling and management, and maintaining data engineering workflows within Databricks. Proficiency in Python and SQL is essential for this role. While prior work experience is advantageous, we welcome applications from recent graduates who demonstrate strong work ethics and a capacity for quick learning.

Key Responsibilities:

Support Business Intelligence (BI) Tools and Financial Analyses:
Collaborate with investment and research teams to provide data-driven insights.
Develop and maintain dashboards and reports to facilitate informed decision-making.
Data Modeling and Management:
Design and implement scalable data models to support various business use cases.
Ensure data integrity, accuracy, and accessibility across the organization.
Databricks Workflow Management:
Develop, maintain, and optimize data pipelines within the Databricks environment.
Monitor and troubleshoot workflows to ensure seamless data processing and analysis.
Daily Data and Workflow Monitoring:
Oversee daily data operations to ensure timely availability of accurate data.
Provide support to upper business functions by delivering actionable insights and resolving data-related issues promptly.
Data Cleaning and Processing:
Utilize Python and SQL to clean, transform, and analyze large datasets.
Implement data quality checks and validation processes to maintain high data standards.

Qualifications:

Educational Background:
Bachelor’s degree in Computer Science, Data Science, Finance, or a related field.
Technical Proficiency:
Strong experience with BI tools and financial analysis platforms.
Proficiency in data modeling techniques and best practices.
Hands-on experience with Databricks and managing data workflows within its environment.
Advanced skills in Python and SQL for data manipulation and analysis.
Professional Experience:
Prior experience in a data engineering or analytical role is preferred but not mandatory.
Demonstrated ability to manage and optimize data pipelines and workflows.

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Job Title: Data Scientist, Product, Play Monetization
Company: Google
Location: Bengaluru, Karnataka, India
Description:
Minimum qualifications:


Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.


Preferred qualifications:


Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience in developing new models, methods, analysis and approaches.
Experience with classification and regression, prediction and inferential tasks, training/validation criteria for ML algorithm performance.
Experience in identifying opportunities for business/product improvement and defining/measuring the success of the initiatives.
Experience with developing machine learning models (supervised and unsupervised), Launch Experiments (A/B Testing), end-to-end Data infrastructure and Analytics pipelines.


About The Job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Responsibilities


Partner with Play/Apps Product Managers, Engineering, UX and other Play teams to understand user behaviors, design and analyze experiments and drive product insights to improve user experiences.
Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the Play/Apps team.
Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Follow engineering best practice to create scalable data pipelines and models.
Develop and automate reports, build and prototype dashboards to provide insights at scale, solving for problem solving needs.



Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Job Title: Data Engineer I
Company: Chewy
Location: Plantation, FL
Description:
Our Opportunity

Chewy is looking for a Data Engineer I to join our growing Transportation Systems team. You will get to work side by side with hard-working, passionate, and motivated engineers. You will have the opportunity to gain hands-on experience in the field of data engineering, working on different projects building data pipelines, ETL processes, and data warehouse management. The ideal candidate should have a strong interest in building and maintaining cloud databases, ingesting data using a variety of methods (including non-SQL technologies like SOAP and REST) and working on joining datasets from different cloud-based source systems in a centralized database. If you are equally as passionate about supply chain, transportation, management information systems, e-commerce, and career growth, an opportunity at Chewy may be a match!

What You'll Do


Develop and Maintain data pipelines to extract, transform, and load (ETL) data from various sources into our data lake.
Configure custom data pipelines within Snowflake/AWS/Databricks for ingestion
Maintain real-time alarming and debugging tools
Design and implement solutions on a cloud platform using Infrastructure as code (Terraform)
Maintain, support, and develop within the Supply Chain - Transportation Data Mart Snowflake instance, including code build/review, auditing, performance tuning, and security.
Create and maintain technical user documentation and models for the Data Mart


What You'll Need


Bachelor of Science or equivalent experience in Computer Science, Engineering, Information Systems or related field.
Excellent verbal and written communication skills and the ability to explain details of complex concepts to non-expert partners in a simple and understandable way.
Strong knowledge of SQL and relational databases
Python programming skills for data processing and pipeline development
Experience with ETL (Extract, Transform, Load) processes
Basic knowledge of data warehousing concepts
Familiarity with cloud platforms (especially AWS services like S3, Lambda, Airflow)
Version control experience (Git)


Bonus


Experience of translating ambiguous customer requirements into clear problem definitions and delivering them.
Design and execution experience of analytical projects.
Experience with Python data libraries (pandas, numpy)
Some exposure to big data technologies (Hadoop, Spark)
Understanding of data modeling


Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

If you have a question regarding your application, please contact HR@chewy.com.

To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
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