3 Ofertas de Big Data en Uruguay

**Who is Recruiting from Scratch**:
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

This role will be a senior engineering role at one of our clients that are early stage all the way to IPO / Private companies.

Our Client

Our Client is the global leader in ecommerce technology, helping companies seize the full potential of every transaction moment to grow revenue and acquire new customers at scale. Live Nation, Groupon, Staples, Lands' End, Fanatics, UrbanStems, GoDaddy, Vistaprint and HelloFresh are among the more than 2,500 leading global businesses and advertisers that are using our client's solutions to drive more value through every transaction by offering highly relevant messages to their customers at the moment they are most likely to convert.

With their December 2021 Series E raise of USD$325M, our client's is expanding rapidly and globally - operating in 19 countries across North America, Europe and the Asia-Pacific region with the largest office in NYC and a major R&D hub in Sydney. With annual revenues of more than US$200M and vibrant company culture, Our client has been listed in ‘Great Places to Work’ in the US and Australia. Their award-winning culture is guided by our five core values: Smart with Humility, Own the Outcomes, Force for Good, Conquer New Frontiers, and Enjoy the Ride. These values help us attract, engage, and develop the right talent around the globe and ensure we have the right conditions to do our best work.

The engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. We are expanding rapidly in our major R&D centers in NYC and Sydney. We are passionate about using intelligent systems to improve the transaction moment for retailers everywhere. Come join us and build the future!

**Requirements**:
About the role

We’re working on building a platform for reporting and analytics that is able to handle huge amounts of data in a real-time fashion that would allow us to uncover new insights and help us make decisions.

Our goal is to unlock data and make it available to various users starting from other engineers to end business users and clients. We value pragmatic solutions and simplicity that help us build reliable and fast systems.

Outcomes & responsibilities
- Build distributed, high-volume data pipelines and storage that power our reporting and analytics
- Work on real-time distributed OLAP custom solutions
- Do it with Spark, Kafka, Airflow, and other open-source technologies
- Work all over the stack, moving fluidly between programming languages: Scala, Python, and more
- You'll help define the processes and infrastructure to transform and make data readily available across the company
- Join a tightly knit team solving hard problems the right way
- Own meaningful parts of our service, have an impact, grow with the company
- Take responsibility for system health, monitoring and alerting, and CI/CD pipelines
- Support and mentor other engineers on best practices, architecture, and quality

Capabilities & requirements
- You have built and operated data pipelines for real customers in production systems
- You are fluent in several programming languages (JVM & otherwise)
- You’ve worked with data stores and/or data warehouses, such as AWS Redshift, Snowflake, Clickhouse, or others
- You have hands-on experience with BigData frameworks (Hadoop, Hive, Spark, etc.)
- You’re able to explain advanced technical concepts in a simple manner and cater to your audience
- You enjoy wrangling huge datasets and helping others unlock new insights
- You’re concerned about resiliency, high-availability, data quality, and other aspects of a critical system

**Benefits**
- **Force for Good. **We actively invest in the growth of our people and the strengthening of our communities. Our NYC office is 100% vaccinated to keep our employees and community safe and healthy. We require all rockstars as well as anyone else who will be onsite at the NYC office - clients, contractors, vendors, and suppliers - to show proof of vaccination and their booster shot.
- ** Work with the greatest talent in town. **Our recruiting process is tough. We hold a high bar because we have a high-performing, high-velocity culture - we only want the brightest a

**Sobre nosotros**

CENCOSUD S.A es uno de los más grandes y prestigiosos conglomerados de retail en América Latina. Con operaciones activas en Argentina, Brasil, Chile, Perú y Colombia, donde día a día desarrollan una exitosa estrategia multiformato que hoy da trabajo a más de 140 mil colaboradores.

Sus operaciones se extienden a través de diferentes líneas de negocios, siendo una de las más importantes **Cencosud Media**, que se enfoca en **procesar información** que se obtiene de las distintas unidades de negocios del conglomerado, utilizando tecnologías de Big Data, modelos de analítica avanzada e inteligencia artificial, **para generar estrategias de marketing medibles y efectivas.**

**Nuestra propuesta**

Estamos en busca de un **gerente de Data Science**, con experiência y conocimientos en matemáticas y estadísticas, así como un pensamiento crítico y las habilidades para resolver problemas e interpretar datos.

Este rol, lidera un equipo de más de 10 personas, quienes trabajan en el procesamiento de grandes cantidades de información con el propósito de encontrar patrones que ayuden a mejorar la empresa.

Esta área se encarga de la generación de diversos informes, reportes y del desarrollo de modelos estadísticos que sirven para identificar riesgos, fuga de clientes y fraudes, así como para la optimización y gestión comercial estratégica.

**Requisitos**:
+8 años de experiência en Data Science/Matemáticas/ Estadísticas

Experiência liderando equipos o gestionando proyectos

Experiência en industria de retail o multinacionales será valorado

**¿Qué ofrecemos?**

Bonos y reconocimientos

Plan de carrera

Potenciación de aprendizaje

Trabajo Híbrido

Viernes reducido

Beneficios de Ley

Trabajar en un proyecto nuevo y con capacidad de crecimiento

Incorporarse a una de las multinacionales más importantes de la región