Data Scientist

Location: Remote

*** Mention DataYoshi when applying ***

Data Scientist

Remote Office

Position Summary

Infor Decision Analytics and Science (IDeAS) team is responsible for setting the innovation strategy at Infor. We

are a diverse, well-integrated, and customer-focused team of data scientists, data engineers, solution architects,

application developers, and product managers with an ambitious vision to enable enterprise Machine Learning

(ML) for all Infor customers across multiple industries and segments.

The data scientists in IDeAS are the brain behind every data-driven decision analytics. As a data scientist, you will

design, create and operationalize large scale predictive and prescriptive analytics to solve business problems in

demand forecasting, network and inventory optimization, anomaly detection and predictive maintenance using

IoT data, price recommendation, media and image analytics, employee attrition, and customer churn, etc. A

successful candidate is expected to have an in-depth knowledge of the most common machine learning and

optimization techniques and their applications.

The data scientist role isn’t about building scientific models only. It also involves collaborating with engineering,

product management, application development, and our customers to deliver solutions that realize business

benefits. As a data scientist, you will play a central role in the team’s success and hold the key to deliver

significant value to our customers.

A Day in The Life Typically Includes:

  • Designing, developing, testing, deploying, monitoring, and improving machine learning and optimization
  • models for enterprise applications.
  • Advising internal and external stakeholders on new opportunities to enable machine learning at Infor.
  • Working with product managers and Infor customers to understand business problems, identifying internal
  • and external data requirements, and formulating data enrichment strategies for enterprise applications.
  • Performing exploratory data analysis to assess and communicate data quality, and to extract and share
  • insights from large and complex datasets.
  • Performing feature engineering, model selection, and model and performance tuning based on the metricsdriven approach.
  • Crafting, conducting, analyzing, and interpreting experiments and investigations.
  • Collaborating with data engineers and solution architects on data models and build required data
  • transformations to support scientific models.
  • Collaborating with application developers and product managers on templatizing solution and configuration
  • options, business value establishment, and success stories communication.
  • Executing Proof of Concepts (PoCs) and presenting results to Infor customers to demonstrate the value of
  • enterprise ML through quick wins.
  • Creating technical reports and documentation for PoCs and use case templates.
  • Keeping up with advancements in machine learning, deep learning, reinforcement learning, optimization
  • techniques, and other advanced analytical approaches.
  • Mentoring and guiding graduate interns and associate data scientists.

What You Will Need:

  • Masters (or foreign equivalent) in Computer Science, Electrical Engineering, Statistics, Operations
  • Research, Industrial Engineering, Mathematics, Physics, Computational Biology, Bioinformatics or a related
  • quantitative discipline from an accredited university.
  • Demonstrated real-world experience in designing and implementing a full machine learning and
  • optimization solution pipeline, from ETL to data pre-processing, to quantitative data analysis, to model
  • prototyping, to model deployment and inference.
  • Strong programming skills in C++, Python, R, or Scala and data-querying skills in SQL and/or PySpark, etc.
  • Experience with deep learning algorithms with frameworks such as TensorFlow, PyTorch, or Keras.
  • Ability to communicate your ideas/code clearly through blog posts, kernels, GitHub.
  • Effective verbal/written communication, and technical presentation skills. Ability to naturally explain
  • difficult technical topics to everyone from data scientists to engineers to business partners.
  • Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings
  • across the team.
  • Able to work both independently and as part of a team

Infor Values:

Our Guiding Principles set the standard for how we work with one another. They define who we are as an organization and guide everything we do. By applying the same shared values that unleash prosperity in free societies—such as value creation, integrity, responsibility, free speech, and toleration—we encourage one another to take initiative and to challenge the status quo.

We have a relentless commitment to a culture based on a business philosophy called Market Based Management ® (MBM ® ). Informed by the principles that allow a free and open society to flourish, MBM® 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.

Infor does not discriminate in employment opportunities or practices on the basis of race, color, creed, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, marital status, age, veteran status, protected veterans, military service obligation, citizenship status, individuals with disabilities, or any other characteristic protected by law applicable to the state in which you work.If you have a disability under the Americans with Disabilities Act or similar law, and you wish to discuss potential accommodations related to applying for employment at our company, please contact Human Resources at 470-548-7173 and/or .

Applicants to and employees of most United States private employers, state and local governments, educational institutions, employment agencies and labor organizations are protected under Federal law from discrimination. For additional information please see EEO is the Law poster, the EEO Supplemental as well as the Statement of Policy. If you would like to view a copy of the company’s affirmative action plan or policy statement, please email .

*** Mention DataYoshi when applying ***

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