- Learn and apply database tools and statistical predictive models by analyzing large datasets with a variety of tools
- Ask and answer questions in large datasets and have a strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you
- Deep dive into data to find answers to yet unknown questions and have a natural desire to go beneath the surface of a problem
- Ask relevant questions and possess the skills to build algorithms necessary to find meaningful answers
- Creatively visualize and effectively communicate data findings and insights in a variety of formats
- Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems.
- Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products.
- Work as a key member of the product team to solve problems and identify trends and opportunities.
- Inform, influence, support, and execute our product decisions and product launches.
- Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics.
- Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviours, and long-term trends Identifying levers to help move key metrics.
- Core statistical knowledge
- JD: #1
- Programming languages (R, Python, SAS)
- JD: #1, #2
- BI, Data Mining, and Machine Learning experience
- JD: #1
- Proficient in SQL
- JD: #1, #2
- Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.
- JD: #2
- Experience in Spark (Scala / pySpark)
- JD: #3
- Self driven, able to work independently yet acts as a team player
- Strong communication skills, willingness to learn and develop their ability to apply data science principles through a business lens
- Ability to prioritize, re-prioritize, and handle multiple competing priorities simultaneously
The Artificial Intelligence CoE team in IES Technology Services is pushing the SAP internal adoption of Machine Learning through all business processes. We are implementing standard product functionality from the SAP AI portfolio as well as custom built AI scenarios for internal business cases. In this field we have a lot existing projects in the horizon and a lot of rooms for creativity and freedom to experiment.
In Singapore, we are looking for AI Engineer Interns to work on the technical stacks, also involve in end-user and business stakeholder communications.
- Collaborate with other AI Scientists, Engineers, and Product Owners etc.
- Communicate with stakeholders to understand SAP business processes.
- Support the end-to-end MLOps lifecycle (Python, Jenkins, Docker, Kubernetes, etc)
- Apply existing SAP AI or open-sourced solutions to solve business problems.
- Learn the latest advancements in applied NLP and Devops.
Required skills
- Programming experience in Python language and packages such as Pandas, scikit-learn etc.
- Understanding of basic Machine Learning algorithms and concepts
- Experience with development tools like VScode, Pycharm, Jupyter, Docker, Git, etc.
- Curiosity to learn about different AI applications.
- Able to take ownership of one’s work and collaborate with others.
- Preferred skills
- Pursuing an undergraduate or graduate degree
- Driven and dynamic with strong problem-solving skills
- Good communication skills with end-users and business stakeholders
- Additional certificates and courses focusing on machine learning are a plus but not a must
There are more than 500 million smallholder farms globally. 2.5 billion people depend on Smallholder Communities for their food and livelihoods. Smallholder regions are characterized by low living standards, high rates of illiteracy and low agricultural productivity. Yara's mission is "Responsibly Feed the World and Protect the Planet". Key to achieving this is enabling thriving Smallholder Communities. At Yara, the Smallholders Digital Team is part of the Crop and Digital Solutions Unit.
Yara aims to be the crop nutrition company for the future and is leading the development of sustainable agriculture and digital tools to contribute to solving global agricultural challenges. We have a worldwide presence with sales teams in ~150 countries and around 17,000 employees. Yara Farming Solutions, will lead the transformation towards more sustainable and efficient food production, by innovating our offerings and the way we work. Crop and Digital Solutions is responsible developing and scaling new “on-farm” digital and integrated tools and solutions for an efficient and transparent food system.
- Support the development of the data resources of the analytics and insights side of the smallholder solutions.
- Research new ways to interpret and utilise the data resources to provide meaningful, actionable insights.
- Support cross-functional teams with different parts of the development centre to support the data needs of different teams.
- Support the development, testing and implementation of various scripts, algorithms and code when necessary.
- Strong personal/professional interest in the LSM segments (developing countries, low-income markets, etc) and agriculture in general.
- Exposure to Computer Vision and Data Science concepts preferred.
- Prior experience with at least one of Python development, data analysis or machine learning.
Additional information
We strive to reflect the diversity in society and encourage all qualified applicants from all background to apply. We are committed to creating a work environment that fits gender equality and allows combining career progress with the needs of a family or other personal circumstances
- Evolving tech development division of an established agricultural products and services company.
- Explore and develop digital, software, hardware products, which provide value to farmers, smallholder communities and the value chain.
- Be part of our mission to build sustainable solutions that benefit humanity and the environment.
- Full-time, permanent and freelance contract options available with competitive remuneration + benefits.
- Support for personal development, training and continuous learning.
- Commitment to using new technologies and frameworks, meetups, and knowledge sharing.
The Ad Data team is committed to empowering our global team's monetization products through acquiring, building, and managing key ads data assets and providing scalable data warehouse, product, and service solutions.
- Responsible for building offline and real-time data pipelines for various businesses of advertising;
- Process data processing requests and execute data model design, implementation and maintenance;
- Research on business logic and data architecture design to address business value.
- Undergraduate or Postgraduate currently pursuing a degree/master in software development, computer science, computer engineering, information systems or a related technical discipline;
- Strong interest in computer science and internet technology;
- Know relevant technologies of the Hadoop ecosystem, such as the principles of MapReduce, Spark, Hive, and Flink;
- Familiar with SQL, be able to use SQL to perform data analysis, or proficient in Java, Python and Shell and other programming languages for data processing;
- Good at communication, proactive in work, a strong sense of responsibility, and good teamwork ability.
Our Data Analytics & Data Science team focuses on gaining a true understanding of our users. We apply analytics in product development which enables us in building the best app ever! Our business analytics team directs itself by following 3 core philosophies.
We focus on big data, being a bridge between the online and offline side of business, and to use data in order to align our operations with strategic goals. If you love to find new ways of interpreting data then you’re a perfect fit!
Requirements:
- Affinity with resolving complex people and business issues
- Full-time student majoring in Computer Sciences, Engineering, Statistics, Data Science or related fields seeking a matriculated internship
- You are enrolled in a Singapore university, or Singaporean/PR studying abroad
- Previous internship experience in Data Analytics, Computer Science or other related field is an advantage
- Be able to commit full-time from Jan - June 2022, for a minimum of 20 weeks
- Agile and able to work in a fast-paced environment
- Excellent communication, presentation and project management skills