Data Scientist

Ottawa, ON, Canada

Applications have closed

Company Description

At IFS you will work in a growing, global enterprise software company built upon committed and empowered colleagues who come to work knowing they are making a difference. We work every day within our single platform and embedded digital innovation to help our customers be their best when it really matters to their customers – at the Moment of Service™. We take pride in ensuring that our employees are able to achieve the company goals as well as develop their career. We believe empowered autonomy, committed colleagues and being part of a winning team are the keys to our success and what makes us great!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Job Description

We are looking for a Data Scientist to be part of our global R&D organization. Someone who brings a positive energy to the team, thrives on strong collaboration, and who strives for constant improvement in both themselves and the team. Someone who will be a key player within our Automation team and will help us transform our Artificial Intelligence and Machine Learning vision into a reality.

As a technical expert within the Automation team, you will be bringing AI and ML capabilities to the next generation IFS Cloud for Enterprise Resource Planning, Asset Management and Field Service Management. You will be working on applied mission critical problems ranging from IIoT/predictive maintenance, demand planning/forecasting, optimization, and autonomous intelligent assistants. Your expertise as a data scientist will help us design and automate complex ML pipelines, enhance our algorithmic pool, and drive innovation across our product portfolio.

Your critical thinking skills and understanding of real-world business problems will be key to contributing to the end-to-end design of the solutions: from seeing the big picture and identifying the opportunity to implementation and delivery with an emphasis on performance and scalability.

If you excel at mapping/understanding business processes and the underlaying data, passionate about machine learning and statistics and take pride in building and integrating high-performance ML pipelines in a production setting, we would love to hear from you.

Responsibilities

This is a highly technical/hands-on position where you will be expected to carry out the following tasks with a high degree of autonomy, accountability, and technical proficiency:

-  Help identify high value/high impact AI/ML opportunities within the IFS product offerings.

-  Act as AI/ML technical expert to evaluate/recommend the adoption of new/emerging technologies. Provide advice on estimates and implementation plans to support planning and roadmap activities.

-  Lead technical solution design and integration tasks for data science projects: from proof of concepts to final implementation/deployment and monitoring with a focus on scalability and performance.

-  Work in close collaboration with Data Engineers, Data Scientists, Software Engineers, Solution Architects and Product/Program Managers on the definition, creation, and deployment, monitoring and documentation of bespoke and industry-wide ML models.

Qualifications

-   Proven track record of leading and building end-to-end implementation of AI/ML solutions(e.g., scoping, design, development, testing, deployment, and monitoring).

-   Experience building and delivering Cloud ML solutions at scale using Docker/Kubernetes. 

-   Proven knowledge of advanced statistical modelling and analysis.

-   Expert knowledge of ML development tools/libraries in Python. 

-  Excellent communication skills, with the ability to couple subject matter expertise with strong statistical skills.

 

Nice to have

-    Experience with ML experiment tracking and collaboration tools (e.g., Mlflow, Weights & Biases, etc.)

-   Experience with pipeline orchestration tools and MLOps (e.g., Airflow, Kubeflow/Argo, KServe/Seldon, etc.)

-   Expertise in Conversational AI, NLP, transfer learning/deep learning.

-   Intelligent assistants, knowledge base/graphs and recommender systems.

 

Additional Information

Interviews and selections are being made continuously. If you are interested, apply as soon as possible.
 

IFS fact

IFS develops and delivers enterprise software for customers around the world who manufacture and distribute goods, build and maintain assets, and manage service-focused operations. The industry expertise of our people and solutions, together with a commitment to delivering value to every one of our customers, has made IFS a recognized leader and the most recommended supplier in our sector. Our team of 4,000 employees and growing ecosystem of partners support more than 10,000 customers around the world challenge the status quo and realize their competitive advantage. Learn more about how our enterprise software solutions can help your business today at ifs.com.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Conversational AI Deep Learning Docker Excel Kubeflow Kubernetes Machine Learning MLFlow ML models MLOps NLP Pipelines Predictive Maintenance Python R R&D Recommender systems Statistics Testing Weights & Biases

Perks/benefits: Career development Team events

Region: North America
Country: Canada
Job stats:  22  5  0
Category: Data Science Jobs

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