DATA SCIENTIST

Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges.
AGCO is a part of the solution! Join us to make your contribution.
AGCO is looking to hire candidates for the position of Data Scientist.
The Data Scientist role is responsible for the development and execution of data science and analytics use cases at AGCO.
The Data Scientist executes the research, modeling design, implementation, and supports the deployment of full-stack scalable AI solutions to critical business opportunities.
The Data Scientist will develop and implement machine learning algorithms and statistical models to solve business problems, and perform exploratory data analysis to identify trends, patterns, and anomalies.
Collaboration is key, and the data scientist will work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
The ability to communicate findings and insights through data visualizations and presentations will be essential in driving informed decision-making across the organization.
Additionally, the data scientist role will stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence, ensuring that our methodologies and tools remain cutting-edge.
These contributions will be vital in maintaining the integrity of our data throughout its lifecycle and in fostering a culture of continuous learning and innovation within the team.
Your Impact Works with AI Delivery Owner and key business stake holders in identifying and prioritizing actionable, impactful insights across a variety of core business fronts, driving informed decision-making across the business.
Determines appropriate AI techniques for addressing classes of business problems.
Assesses feasibility of analytics use cases in POC studies.
Is able to hear opportunities, needs or hypothesis from business partners and convert these into a set of tasks or steps that result in the development of AI solutions, effectively translating business needs into math and computer science steps that will deliver the insights Builds analytics solutions that drive the business closer to its overall goals and objectives while guaranteeing statistical integrity and implementing accuracy tracking and analytics lifecycle management techniques.
Works with cloud & data engineers to deploy & integrate analytics based solutions using scalable, performant and cost efficient machine learning pipelines.
Maps analytical insights into actionable recommendations and identify and communicate the ‘so what’ in the results generated.
Leverage business knowledge, storytelling and expertise to enable greater adoption with end users.
Acts as a change agent, engaging with business stakeholders and others in the data science community at AGCO to continue to educate, increase awareness, and build support for world class data and analytics.
Stays up to date on leading data science and analytic practices, trends, design, learning and development cycles.
Your Experience and Qualifications 5+ years of experience in a related field with hands-on experience in the development of analytical models and machine learning techniques.
Technical proficiency in languages such as Python, R, etc.
Familiarity with big data tools such as Hive, Spark, Hadoop etc.
Experience in data mining and predictive modeling inclusive of linear and non-linear regression, logistic regression, and time series analysis models.
Experience working with deep learning algorithms and large datasets as well as experience working with unstructured data and experience cleaning and manipulating data.
Strong data visualization and communication skills including written, verbal and presentation skills.
Knowledge and expertise working with relational databases and large datasets, along with the data governance and quality management processes need to improve quality of the analysis.
Understanding of current state and future trends in data analytics, data science and enabling technologies Able to creatively approach problems and work through ambiguity to guide business partners through the art of the possible to tangible business value with analytics.
Thrives in innovating around new white spaces.
Strong academic qualifications, including advanced understanding/coursework in Mathematics, Statistics, Data Science, Technology, Engineering, Economics, or related field.
Your Benefits GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles.
You make us unique! ENTERPRISING SPIRIT- Every role adds value.
We're committed to helping you develop and grow to realize your potential.
POSITIVE IMPACT – Make it personal and help us feed the world.
INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm.
MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work option……….
Your Workplace AGCO is Great Place to Work Certified and has been recognized for delivering exceptional employee experience and a positive workplace culture.
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers.
Through our recruiting, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers.
Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
Join us as we bring agriculture into the future and apply now!   Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
AGCO is proud to be an Equal Opportunity Employer