от компании (организации): Syngenta в городе (населённом пункте): Москва, Россия
в отрасли экономики "Начало карьеры, студенты" → "Производство, технологии"
с заработной платой: по договоренности
Вакансия № 21341476 добавлена в базу данных сайта Работа в Москве и Московской области (МО, Подмосковье): Среда, 24 июля 2024 года.
Дата обновления вакансии № 21341476 на сайте Работа в Москве и Московской области (МО, Подмосковье): Суббота, 21 сентября 2024 года.
Обращаем Ваше внимание, что на момент обращения к работодателю вакансия № 21341476 может быть уже занята. Администрация сайта Работа в Москве и Московской области (МО, Подмосковье) приносит извинения за доставленные неудобства.
Требования к опыту работы:
не требуется
Тип занятости:
стажировка
График работы:
гибкий график
Дополнительные сведения о вакансии: Data Science and Analytics Intern
About Syngenta
Syngenta is one of the world’s leading agriculture companies. Our ambition is to help safely feed the world while taking care of the planet. We aim to improve the sustainability, quality, and safety of agriculture with world class science and innovative crop solutions. Our technologies enable millions of farmers around the world to make better use of limited agricultural resources. With 28,000 people in more than 90 countries we are working to transform how crops are grown. Through partnerships, collaboration, and The Good Growth Plan we are committed to improving farm productivity, rescuing land from degradation, enhancing biodiversity, and revitalizing rural communities.
Data Science and analytics consultant role.
This role is ideal for a statistic/mathematic student looking for work experience in supporting a business take the next step in the predictive analytics space. We're offering 20 hours per week paid internship. You'll be guided one half day a week with the data scientist from Seed Development team, and the rest of the week is flexible.
Syngenta business analytics dashboards compare current year performances and metrics with our last year ones, so we look backwards in order to evaluate our performance.
We want to develop a new set of dashboards in the predictive analytics space, able to forecast how we are performing versus how the market is expected to be, and we need powerful statistical tools and artificial intelligence ability to connect various data sources in a meaningful way to extract trends and forecasts.
In Syngenta we have access to a lot of data, including external datasets, government databases and many other sources, therefore it is critical to understand what data need to be used and how to connect them.
Some key activities:
- Support closely the Data Analytics Lead EAME helping with development, coding, ideas, available tools, etc
- Team-work mindset enabling the integration of data sources with technologies across functional boundaries.
- To collaborate and partner with key stakeholders in both IT and Business Analytics to deliver the next generation analytics requirements - Predictive analytics Models
- Help drive the creation of new models and capabilities that will leapfrog from the traditional approach and accelerate new ways of thinking
Accountabilities
- Analyze business requirements and processes and ultimately translating them in the predictive space through use cases, test cases, preparation of training data sets and iterative algorithm development.
- Implements Machine Learning systems and validate designs through a series of purpose-designed experiments
- Report on technical issues or questions and make recommendations and collaborate with IT team to implement sustainable solutions
- Constantly be on the lookout for ways to improve the dashboard reporting, discover issues and deliver better value to the users
- Perform exploratory data analysis to determine missing data, trends and/or opportunities
- Employ sophisticated analytical methods, machine learning and statistical methods to prepare data for use in predictive models
- Discover new algorithms to solve problems and build programs to automate repetitive work if necessary
- Build a benchmark using existing models that can potentially be customized for the project needs through the integration of the required variables.
- Ability to deploy the model in production giving the stake-holders access to the results in a manner that that the output is easily understood by the business.
- Perform exploratory data analysis (EDA) to determine how to handle missing data and to look for trends and/or opportunities including identifying which data is important
Requirements
- Strong English written and verbal communication skills.
- Solid Team player attitude
- Knowledge of predictive, modelling, and statistical tools and experience working with unstructured data
- Python with Pandas (Preferred and can be used as a substitute to R)
- R (Good to have if knows Python)
- Any other predictive modeling language
- Strong analytical and statistical capabilities
- Basic knowledge of SQL
- Confident using data visualization tools (matlab, ggplot, plotly, qliksense, tableau, etc..)
- Experience using a version control system in order to efficiently track the project from A to Z
- Problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and pattern recognition methodologies
- Working with cross-functional / organizational / geography people and teams
Откликнуться на эту вакансию: Data Science and Analytics Intern
Предыдущая вакансия:
Вакансия № 21341473 на должность Помощник мастера / Техник (производство медицинских изделий) от компании ООО Смарт Оптикс в городе (населенном пункте) Москва