Data Scientist Ml Ai Python

• 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. Were 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 .