Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoFull Time
• PublicadaNueva

Teletrabajo Python Agile TSQL Git Power BI Big Data Machine Learning

Job mission

Provides end-to-end advanced data analysis and applies predictive modelling to the new business and renewal commercial processes to different specialists across the organization (e.g., Sales Performance, Pricing, Product, Marketing…) to identify short term tactical performance insights to optimize business output. Focused on short term trends (day to day, week to week), covers all distribution channels and their associated demand sources (i.e. multiquoters in the broker channel; aggregators, websites, phone in the direct channel…), but devotes a relevant amount of its effort to the direct channel of all the WEM operations.

Key Tasks & Responsibilities

• Understand the competitive insurance marketplace, business issues and data challenges in the country markets to deliver actionable insights, recommendations, and business processes.
• Perform data preparation steps, including extraction of target data from multiple databases, integration of multiple datasets, and creation of derived variables, application of business rules, and quality control checks.
• Identify and co-define the indicators that are impactful and meaningful to lever up the business plan achievement.
• Participate in project management, development and fulfilment of committed milestones and dates, prioritizing efforts based on potential business impact, managing autonomously associated resources (mostly time)
• Participate in demand and conversion analysis sophistication, interpret trends, test opportunities to drive more profitable business and reforecast business output accordingly
• Support the distribution channels to move from a short-term product-centric decision-making process to a long-term customer-centric (CLTV) one.
• Follow the analytical teamwork standards and best practices, based on your advanced data capabilities and expert knowledge of the industry.
• Capability to identify pertinent statistical techniques to be applied on widely differing circumstances to solve business problems, analyse demand and conversion, interpret trends, test opportunities to drive more profitable business and reforecast business output accordingly
• Apply sophisticated statistical techniques to large data sets in the course of predictive modelling and advanced analytical projects.
• Work with other data scientists and analysts to build complex tools and analytical models for use by business operations and/or functional groups (e.g., Sales Performance, Product, Pricing, Marketing, etc.).
• Produce meaningful observations and recommendations through synthesizing data from internal and external demand/conversion sources, taking full ownership of the resulting output.
• Present findings / recommendations to peers and managers.
• Collaborate with other advanced analytics staff to share best practices in predictive modelling and build the advanced analytics community.

Qualifications

• MA in a STEM discipline (Science, Technology, Engineering, Maths)

Knowledge & Experience

• Minimum 5-year experience in a business-decision-making-oriented analytical role, applying data extraction and analysis techniques.
• Technical proficiency of data analysis, querying, manipulation, modelling and visualization (Python, SQL, PowerBI, R...)
• Experience with large analysis datasets, methodologies, and Enterprise-scale database systems.
• Experience with real-world advanced analytics, model development, validation, implementation, and testing.
• Knowledge of the insurance industry, including external influences (i.e. regulators, competitors), internal functions (i.e. Sales & Distribution, Marketing, Pricing, Product, Underwriting…), data sources (especially focused on demand and conversion), tools and business drivers.
• Strategic thinking and business-oriented problem-solving skills, with ability to push solutions and track progress
• Fluency in both English and Spanish languages (written and spoken) is a must-have. Any other additional languages will be very positively assessed (especially Portuguese).
• Knowledge of competition monitoring (data gathering automation, benchmarking analysis on risk appetite, pricing competitiveness, prospect attractiveness) and decision proposals based on data insights.
• Knowledge of demand & conversion funnel 360º analysis (online/offline sources, cross-device behaviour, sources overlapping, multi-touch attribution, lifetime value...) where client monetization may happen (demand, quote, lead, new/up/cross sales, renewals...).
• Knowledge of agile project management techniques.
• Familiarity with cloud-based computing platforms.
• Knowledge of big data concepts, strategies, and methodologies
• Knowledge of machine learning and big data products.

Competencies

• Able to collect, understand, interpret, analyse, and challenge technical information
• Excellent communication and relationship-building skills
• Evaluate situations using multiple sources of information
• Make complex decisions based on developed analytical thinking
• Require conceptual thinking to develop innovative solutions
• Highly motivated to produce timely, insightful deliverables
• Highly motivated to deliver consistent high performance
• Ability to interpret analysis output within the business dynamics and its target fitting.
• Ability to identify and communicate advantages and limitations of tools and methods
• Ability to clearly communicate insights to both technical and non-technical audiences
• Ability to promote ideas/solutions and make recommendations with confidence, credibility, and sound business rationale
• Ability to plan own workload in a fast-paced environment, meeting multiple deadlines
• Ability to adapt to evolving techniques and changing business challenges
• High attention to detail and accuracy with planning and organisational skills
• Good interpersonal skills, works closely with other individuals / teams to achieve goals
• Seeks to maximise the benefits of a team focussed organisation and supports collaboration
• Willingness to share knowledge with and learn from other people
• Actively utilise data quality and data preparation best practices (documentation, GIT versioning, etc.)
• Ability to work through challenges with data sets and identify potential proxy solutions, balancing agile decision making and accuracy
• Ability and desire to work autonomously on a fully remote environment

• Nivel de experiencia---
• Tipo de contratoFull Time
• PublicadaNueva

TSQL R Machine Learning

En Mutua Madrileña vamos a reforzar nuestras capacidades analíticas y de modelización matemática dentro de la Subdirección General de Desarrollo de Negocio y Clientes.

Queremos incorporar una persona al departamento de Business Intelligence, orientado a dar soporte técnico a las necesidades del área aseguradora en base a la aplicación de técnicas analíticas para aportar inteligencia al negocio comercial.

El objetivo de la plaza es reforzar la parte del departamento orientada a analítica avanzada y modelos predictivos, cuya función es la previsión de los indicadores de ventas y bajas de negocio asegurador, la optimización de procesos y presupuestos y la aplicación de técnicas estadísticas y matemáticas para la estimación del efecto de diferentes palancas comerciales.

Se trabajará con modelos econométricos predictivos (regresión, series temporales (univariante y multivariante), modelos GLM y GAM), modelos machine learning (random forest, máquinas vector soporte, redes neuronales) y las técnicas de análisis multivariante y datamining que procedan.

Funciones:

• Gestión, mantenimiento y evolución de los modelos mensuales de captación y renovación (Auto y Hogar).
• Aplicación de los modelos de simulación de solicitud de baja y retención en el proceso de definición de política tarifaria y coste de retención, y elaboración del presupuesto de bajas.
• Participación en los proyectos de optimización matemática de presupuestos. Exploración, diseño y supervisión de las bases de datos, análisis y desarrollo de partes específicas de código.
• Seguimiento de KPI’s de negocio, validación de información de indicadores en bases de datos y elaboración puntual de reportes específicos.Participación en la analítica cuantitativa aplicada sobre propuestas de negocio y testeos puestos en marcha.

Requisitos:

• Formación: Matemático o Estadístico / Actuario o Economista con especialización cuantitativa.
• Postgrado cuantitativo.
• Más de 3 años de experiencia laboral, esencialmente centrada en tratamiento de datos y analítica avanzada.
• Conocimiento profundo de estadística matemática, series temporales, modelos predictivos, data mining.
• Experiencia en SQL y R.
• Perfil competencial: rigor, precisión, alta capacidad de trabajo, alto nivel de motivación, interés en conocimiento de negocio y en la aplicación de las técnicas matemáticas en él, inquietud para aprendizaje continuo.

¿Te unes a nuestro reto profesional?

Queremos conocerte.

Mutua es #ElLugarqueTeMereces

Aceptando suscribirse a esta oferta consiente el tratamiento de sus datos personales conforme a los términos y condiciones establecidos en: https://www.grupomutua.es/proteccion-de-datos/

• Nivel de experiencia---
• Tipo de contratoFull Time
• PublicadaNueva

Agile IoT Big Data Machine Learning Office

At EY Madrid, we have a diverse, multicultural team based in the Wavespace Artificial Intelligence Center, where we work with the most innovative technologies in our field. We offer a broad range of advice to our clients in various areas of the Data & Analytics domain such as:

-Business & data architecture, data quality and data ingestion process design

-Solutions and products in Machine Learning, Deep Learning, NLP, etc

-Advanced analytics in areas like risk management, customer intelligence, complaints management or IoT

-Robotics Process Automation (RPA), meant to automate our clients’ current processes, performing process analysis, process re-engineering and software implementation. For a virtual tour of the office, click here: https://www.youtube.com/watch?v=mjJl8u3U2gM.

As we continue to rapidly grow the team, we are looking for a capable, motivated consultant to support our emerging technologies projects. This experience entails working closely together with senior stakeholders.

Tasks & responsibilities:

• Research on Emerging Technologies, AI, Blockchain applied to multiple sectors and domains
• Working with data tools in order to mine Big Data and transform it into business insights
• Take charge of different tasks within the projects under the supervision of a senior or manager: research, design, data analysis, etc.
• Become an active member of the project team, participating in internal and external meetings, proposing actions and ideas to better accomplish the objectives, communicate with diverse stakeholders, etc.
• Research and propose any opportunities to use technology to solve problems and encourage innovative ideas to be used across the firm.
• Help align project outcomes with innovation strategy by acting as an intermediary between business and technology stakeholders
• Ensure delivery of projects by providing support in any operational tasks

Profile:

• Bachelor or Master degree in a relevant discipline related to business and/or technologies, preferable in the field of data analytics
• Knowledge on Emerging Technologies, Artificial Intelligence, Blockchain etc.
• Agile to work in different sectors and domains with international teams
• Critical thinking capabilities, with ability to see the ‘big picture’ while also diving into the details when necessary.
• Communication skills, both written and oral, with the ability to analyze and clearly articulate complex issues into clear & compelling recommendations
• Attention to detail
• Fluent in English, about 100% of our projects are for international clients, so English is a must

If you feel that you are a match, please attach your CV in English.

Our commitment to diversity & inclusion: We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.

• Nivel de experiencia---
• Tipo de contratoFull Time
• PublicadaNueva

Teletrabajo Machine Learning

¿QUÉ TALENTO BUSCAMOS?

• Tecnologías obligatorias: Conocimientos base de Machine Learning y de distintos tipos de algoritmos. Profundo conocimiento de cada una de las partes ciclo de vida de los modelos, y de su integración: Data Discovery, Data Preparation, entrenamiento y testing (experimentación), versionado y empaquetado, despliegues, y monitorización.

• Tecnologías deseables: Conocimiento y manejo de las herramientas y lenguajes necesarios para la implementación e industrialización del ciclo de vida de los modelos.

• Tiempo de experiencia: 3 años de experiencia en proyectos empresariales alrededor del dato. Experiencia con arquitecturas MLOps en alguno de los principales Clouds públicos (AWS/Azure/Google). Experiencia con el ecosistema Pyhton, MLflow y sus principales librerías.

• Inglés: B1

• Ubicación: Teletrabajo

• Duración de la asignación: Largo plazo

• Nivel de experienciaSenior
• Tipo de contratoFull Time
• PublicadaNueva

Cloud Coumputing AWS Big Data Machine Learning Office

Are you energized to create new markets for Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) technology? Do you love building new businesses?

Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 2000 companies. AWS customers are looking for ways to change their business models, innovate and solve complex business challenges with artificial intelligence (AI) and machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with a broad portfolio of AI & ML services from ML services, such as Amazon SageMaker to AI services (Vision, Languages or Applied Services).

AWS is seeking a seasoned AI/ML Sr. Specialist (or Senior Business Development Manager) to help us scale our artificial intelligence/ machine learning business and more specifically to drive our ML Ops motions and engagements, and work directly with the most interesting and demanding customers to understand their requirements and turn them into reality.

Your responsibilities will include identifying market opportunities, building sales initiatives, and managing a healthy sales pipeline focused on driving revenue, adoption, and market penetration across EMEA

The ideal candidate will possess both a business and sales background that enables them to support an engagement and interact at the CxO/VP level, as well as a technical background that enables them to easily interact with software developers and architects. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions, and work cross-organizationally to build consensus while driving change.

Responsibilities:
· Build and execute a strategic go to market plan for target markets in line with the AWS strategic direction
· Drive revenue and market share for AWS AI/ ML services
· Meet or exceed quarterly and annual revenue targets
· Build and drive a robust sales pipeline
· Work with partners to drive adoption of the AI/ ML solutions.
· Collaborate with key internal stakeholders to scale impact (e.g. solution architect, product service teams, legal, support, etc.)
· Incubate new AWS Machine Learning and Artificial Intelligence services and scale existing AWS services
· Represent AWS on AI/ML at public events or blogs
· Work with senior management team on market and sales strategy, AI/ML service roadmap, and initiatives to scale impac
Role can be based out of the UK / London, France / Paris, Israel / Tel Aviv, or in any other AWS office locations across EMEA

BASIC QUALIFICATIONS

· Technology-related sales or business development experience
· Field experience working with customers
· Working domain experience in machine learning, artificial intelligence, or related technologies
· Experience in cloud-based technologies
· BA/BS degree or equivalent experience
· Strong verbal and written communications skills

PREFERRED QUALIFICATIONS

· AI/ML certificates or diploma
· Knowledge of Big Data businesses and technical concepts
· Experience working with technology customers and partners
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.


About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy/eu ) to know more about how we collect, use and transfer the personal data of our candidates.

AI/ML_EMEA_2020

• Nivel de experienciaSenior
• Tipo de contratoFull Time
• PublicadaNueva

C# Java C++ Microservices Machine Learning Big Data

Job summary
Do you want to reach the next level on your career? Do you want new challenges and solve hard problems while using top-notch technologies?


Join us and you'll help millions of customers to discover the hottest and best-of-breed products from a multi billion catalog!

The Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside cutting edge tools for marketers. You will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising. Through the enablement of intelligent marketing campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon’s customers all over the globe.
We need bright and very talented people to help us fulfil our mission of making Amazon the most loved destination for each customer in the World!

We believe in regular feature develop and frequent experimentation, allowing us to continuously improve the customer experience. You will have the opportunity to explore the many channels Amazon provides for customer outreach and engagement, both onsite and offsite. As a new team, we carry little tech debt. We prioritize writing high quality and maintainable code, and build systems that leverage existing tools to provide extensive test coverage across our services. The team provides a great opportunity to make an outsized impact in a burgeoning space and on fresh or even yet to be built services. There are few opportunities anywhere to start on a new team and make an immediate impact at this scale. Come with us and let’s find the best future, together.


As a member of our software engineering team you can expect to:
· Solve problems which require novel solutions in low-latency systems
· Solve problems that center around scale, across all realms, over hundreds of millions of customers
· Write high quality, maintainable code
· Perform peer code-reviews and contribute to technical designs
· Integrate and collaborate with applied science experts specialized in machine learning recommendation models
· Think outside the box when it comes to innovating for the customer. Our team is looking for fresh ideas to engage with customers across both internal and external mediums
· Learn and grow from a talented group of individuals within our team and within our sister teams
· Mentor new members as we continue to add to our footprint and scope

BASIC QUALIFICATIONS

· Bachelor's degree in Computer Science, Computer Engineering or other related field
· 10+ years of industry experience in software engineering
· Knowledgeable in scalable distributed systems and Big Data platforms
· Fluent in a modern language like Java, C++, or C# including object-oriented design
· Strong Computer Science fundamentals (data structures, algorithms, architecture, OO design)
· Experience in leading large-scale, data-driven optimization systems
· Excellent oral and written communication skills
· Ability to solve problems under ambiguous situations
· Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

PREFERRED QUALIFICATIONS

· Master's degree or Ph.D. in Computer Science, Computer Engineering or other related fields
· Knowledge of big data system architecture & administration
· Knowledge in machine learning, natural language processing, data mining, or information extraction
· Experience with developing large-scale website platforms or web applications
· Proficiency with Service Oriented architectures, microservices and event driven systems.



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

• Nivel de experienciaMid Level
• Tipo de contratoFull Time
• PublicadaNueva

Javascript .Net Java Python TSQL NoSQL Cloud Coumputing AWS IoT DevOps Big Data Machine Learning

Job summary
Amazon Web Services (AWS) is seeking a technical leader to help global telecommunications service providers and partners transform their businesses with AWS technology.
The problem domains are diverse: 5G monetization, network function virtualization, digital customer journeys, OSS/BSS transformation, mobile edge computing, hyperscale data and cybersecurity. At your disposal is the breadth of AWS, including artificial intelligence, edge computing, IoT, and data analytics.
As part of the Telecommunications Solutions Architecture team, you will collaborate with customers, internal AWS teams, and AWS partners to deliver solutions to the unique challenges of information and operational technology in telecom customers. You will be the single-threaded owner of the AWS technology strategy for your customer and account team to drive AWS adoption. The ability to connect technology with measurable business value while assessing risks, balancing trade-offs, and encouraging risk-tasking to maximize your customer's business value of AWS is critical to a solutions architect. You should also have a demonstrated ability to think long-term about business, product, and technical outcomes.
Our team is small and motivated. We come from diverse backgrounds, but what we all have in common is a huge curiosity, a passion for delighting our customers, and a desire to deliver technology that transforms their business. What’s it like to work at AWS? Our team experiences high levels of collaboration, lots of multi-tasking, and often course corrections or new ideas that mean adaptability is key. We find creative and scalable solutions to our customers’ difficult problems, and we own delivering those outcomes to the customer. We are also a geographically-distributed team, which means you will need to possess a high bias for taking action without immediate team consensus.
Solutions Architects work on the most complex customer challenges and opportunities. They have a leading role in developing both the strategy and the team itself. They combine an informed view of the market with their understanding of emerging technology trends to speed-up innovation across their customer segment. Externally, they are recognized thought leaders and influence the strategy of our customers. Internally, they earn a reputation of role models and deliver bar-raising guidance to the broader Solutions Architecture team.
In this role, your creativity will link technology to tangible solutions, with the opportunity to invent cloud-native reference architectures for a variety of use cases.
You will take a leading role in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about AWS technology and industry trends (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
If you can educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us.
This role is within the EMEA Telco organization and you would be working with large Telco customers.

Role requires domestic and international (mainly Europe) travel up to 30%.

BASIC QUALIFICATIONS

· Background in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps
· Experience driving technical and/or organizational change of significant complexity
· Experience in a customer-facing technology or engineering role
· Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience.
· Fluent written and verbal communication skills in English
· A passion for technology and for learning

PREFERRED QUALIFICATIONS

· Experience in or with telecommunications service providers, network equipment manufacturers, or related telecom ecosystem partners
· Experience designing, building, refactoring or operating large scale and impactful IT systems - either on premises or in the cloud
· Working knowledge of cloud native architectures
· Knowledge of a modern programming language (Python, JavaScript, Go, .Net, Java, etc.) and/or scripting, Infrastructure as Code etc.
· Experience in network function virtualization, OSS/BSS transformation, mobile edge computing, carrier grade architectures.
· In-depth working knowledge in a technology domain such as distributed internet-scale web or mobile applications, DevOps, Serverless, Big Data, Analytics, Machine Learning, enterprise workloads, high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads.
· Experience working in a customer-facing role or a role which involved public speaking
· AWS certification (e.g. AWS Solutions Architect Associate or Professional) or other industry certification



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

• Nivel de experienciaSenior
• Tipo de contratoFull Time
• PublicadaNueva

Java Python C++ Scala Machine Learning

Job summary
Amazon is looking for a passionate, talented, and inventive Machine Learning Applied Scientist with background in Search
or Information Retrieval to join the EU based Search team. As a lead Applied Scientist, you will invent, build and deploy state of the art machine-learning models and systems to enable and enhance the team's mission—real world incarnations of some of the most difficult academic problems.
You will work with the largest online retail search application in the world, both in terms of users, catalogue size, and computing resources, and your work will directly impact millions of Amazon customers. You will collaborate with recognized experts in science and engineering to develop novel algorithms and modeling techniques to advance the state-of-the-art in search and information retrieval. You will partner closely with our engineering teams, publish scientific papers and apply for patents for your inventions.

Responsibilities: - Work on research projects in Machine Learning and related fields to create best in class product Search
· Validate models via statistically rigorous A/B experiments across millions of customers;
· Work closely with other apply scientists to test, prototypes, and integrate successful models and algorithms in production systems at very large scale;
· Lead science work, mentor junior scientists and work side by side with fellow applied scientists in the team.
· Build Machine Learning models from A to Z, from problem definition to deployment.




Key job responsibilities
· Innovative Thinking
· Developing Machine learning models at Scale
· Influencing the team roadmap and pushing the research in the field of NLP/Search/AI
· Caring about our international customers

BASIC QUALIFICATIONS

· PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
· 3+ years of experience of building machine learning models for business application
· Knowledge in modern information retrieval systems and/or search systems
· Fundamentals in problem solving, computer science, algorithm design, complexity analysis, mathematics and statistics.
· Proficiency in at least one major programming language (Java, C++, Python, Scala or similar). The more the merrier.
· Good verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

PREFERRED QUALIFICATIONS

· Ph.D degree in Machine Learning, Computer Science, Information Retrieval, Mathematics, Statistics, or related quantitative field.
· Previous work in information retrieval or Search.
· Track record of publication in Tier 1 ML and/or Information Retrieval conferences.
· Practical experience in building and evaluating models using major libraries such as MxNet, TensorFlow or Scikit-Learn.
· Experience in scripting languages is a plus.
· Experience working on gigabyte and terabyte-size datasets
· Experience working in text processing, data mining, and/or data visualisation is a plus.
· Speaking/understanding several natural languages is a plus.

Amazon Science (www.amazon.science) gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.


#scienceemea




Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

• Nivel de experienciaMid Level
• Tipo de contratoFull Time
• PublicadaNueva

Python TSQL Big Data Machine Learning Office

DNV (https://www.dnv.com/) is an independent expert in risk management and quality insurance, which operates in more than 100 countries. In the energy Industry DNV is the world leader with independent experts and technical advisors who support the entire value chain of the industry through its advisory, monitoring, verification, and certification services. Since September 2021, Antuko (http://antuko.com/), a company with offices in Chile, Mexico and Spain joined DNV, in the Market and Transaction team.

With the integration of Antuko Advisory, DNV intends to position itself as the world leader in power price forecast and in financial support for energy projects. This support includes income projections, financial risks analysis, hedging structuring, commercialization solutions and transactions support.

• In Latin America Antuko Advisory already offers these services in Chile and México, and with this integration in DNV it will soon extend its services to markets such as Colombia, Brazil and Central America.
• In Europe Antuko Advisory is present in Spain (with services also in Portugal), and will build on DNV’s existing capabilities in Northern Europe to soon offer its price forecasting and financial advisory services in all European countries.

Job description

The Market & Transaction team is looking for a Data Scientist / Consultant, to follow the activity growth. Based on Antuko’s legacy, DNV developed for its consulting activities a set of processes and tools for market intelligence, market modelling and energy trading analysis, using fundamental, statistical and artificial intelligence methods. Within the Spanish part of the team, the responsibilities of the Consultant will cover:

• Market Intelligence: big data, data mining, energy markets analysis, weekly reporting.
• Electricity Day-ahead Market Price Modelling:
• Machine learning and optimization algorithms developments.
• Markets trends study (expansion plan, commodities).
• Scenario analysis (climate, electrical vehicle, distributed and self-consumption).
• Medium- and long-term forecast.
• Webservice feeding.

Candidate: Engineer (Industrial, Electrical), Applied Mathematics (ideally), or Computer Science.

Experience: 0 to 3 years

Software: Basic knowledge/experience with programming languages (Python, VBA) and SQL are mandatory.

Language: English, Spanish, French is a plus.

Start date: as soon as possible.

Salary: Determined by profile.

Workplace: Madrid.

Home office: Complete flexibility from 0 to 80% Home-office.

Contract type: full time, permanent.

If interested, please send your CV at [email protected], with this offer title as subject.