Data Science Engineer
Experience Level MID\_SENIOR\_LEVEL
Description & Requirements
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
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.
About Infor
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit
Our Values
At Infor, we strive for an environment that is founded on a business philosophy called ™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future.
We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.
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