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 data vision into reality. As a Senior 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:

• Architect, implement, and oversee the end-to-end lifecycle of advanced machine learning solutions, including ML model orchestration, scalable data pipelines, and performance optimization.
• Develop and enhance ETL/ELT pipelines from diverse customer data sources to ensure alignment with complex ML solution requirements.
• Drive strategic discussions with business stakeholders to identify critical business challenges and opportunities addressable through AI/ML.
• Articulate results, insights, and actionable recommendations to executives and cross-functional teams, ensuring alignment with business goals.
• Lead exploratory data analysis on large, complex, and diverse datasets to evaluate data quality, derive insights, and inform model development.
• Innovate by designing and delivering cutting-edge AI/ML solutions tailored to specific industry needs, leveraging the latest technologies and frameworks.
• Mentor and provide technical guidance to junior team members, fostering skill development and ensuring high-quality deliverables across projects.

Basic Qualifications:

• Engineering degree (or foreign equivalent) in Mathematical Modeling, Operations Research, Computer Science, Telecommunications, Electrical Engineering, Industrial Engineering, or a related quantitative discipline from an accredited university (or foreign equivalent).
• Extensive hands-on experience in architecting and deploying end-to-end machine learning and/or optimization pipelines, including ETL processes, data pre-processing, exploratory data analysis, model development, deployment, and production inference.
• Expert programming skills in Python and strong data-querying expertise in SQL, PySpark, or equivalent frameworks.
• Proven ability to effectively communicate complex technical concepts and solutions through presentations, technical documentation, blog posts, GitHub projects, and other mediums.
• Good verbal and written communication skills, with the ability to distill and convey intricate technical topics to diverse audiences, including scientists, engineers, and business leaders.
• Advanced data modeling and analytical problem-solving skills with a focus on delivering scalable and impactful solutions.
• Strong collaborative mindset with demonstrated interpersonal skills to lead and contribute effectively to cross-functional teams addressing complex business challenges.
• Proficiency in analytics and visualization tools such as Tableau, Power BI, or similar platforms, with a track record of creating actionable insights.

Preferred Qualifications:

• Advanced degree (Master's or PhD) in Mathematical Modeling, Operations Research, Computer Science, Telecommunications, Electrical Engineering, Industrial Engineering, or a related quantitative discipline from an accredited university (or foreign equivalent).
• Advanced expertise in machine learning algorithms and hands-on experience with industry-standard frameworks such as TensorFlow, PyTorch, Keras, or equivalent.
• Demonstrated experience in designing, implementing, and optimizing time series forecasting models and personalized recommendation systems at scale.
• Proven track record in developing and deploying AI/ML solutions for real-world business problems, including but not limited to demand forecasting, anomaly detection, pricing optimization, and recommendation engines.