Infor

Infor Decision Analytics and Science (IDeAS) is a division of Infor that provides AI/ML solutions for various industries. We use advanced predictive and prescriptive analytics to create value-driven solutions. Our goal is to enable fast and effective decision automation for all business functions.

The Data Science Engineers in IDEAS are the brain behind every data-driven solution. This role relies on a combination of analytics and technical expertise to turn the data vision into reality. As a Data Science Engineer, you are responsible for designing, building, and operationalizing large-scale predictive and prescriptive analytics to solve business problems that are important to Infor customers.

A Day in The Life Typically Includes:

• Design, build and set up end to end lifecycle of machine learning solutions, including ML model orchestration and data pipelines.
• Design and Build ELT from customer data sources to support ML solutions requirements.
• Lead discussions with business stakeholders to identify business challenges that can be solved with AI/ML.
• Communicate the results and their implications to the business stakeholders.
• Perform and review exploratory data analysis on large and complex datasets to assess data quality, extract, and share insights.
• Design and build innovative and pragmatic solutions using the latest AI/ML technologies in different industries.
• Review work of junior team members within a project

What You Will Need:

Basic Qualifications:

• Engineering degree (or foreign equivalent) in Mathematical Modeling, Operations Research, Computer Science, Telecommunications, Electrical, Industrial or a related quantitative discipline from an accredited university.
• Profound (real-world) experience in designing and implementing full machine learning and/or optimization solution pipelines, from ETL to data pre-processing, to quantitative data analysis, to model prototyping, to model deployment and inference.
• Proficient programming skills in Python and data-querying skills in SQL and/or PySpark, etc. 
• Ability to communicate your ideas/code clearly through blog posts, kernels, GitHub. 
• Effective verbal and written communication, and presentation skills to explain difficult technical topics to different audiences from scientists to engineers to business partners. 
• Good data modeling and problem-solving skills.
• A strong collaborative mindset with great interpersonal skills to help solve complex business problems.
• Hands on experience in analytics tools: Tableau, Power BI

What Will Put You Ahead?

Preferred Qualifications:

• Knowledge of machine learning algorithms with frameworks such as TensorFlow, PyTorch, or Keras.
• Experience in building Timeseries forecasting and recommendation models.
• Experience in Demand Forecasting, Anomaly Detection, Pricing or Recommendation solutions.