Data Scientist

Location: Ottawa, ON

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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 everyday with customers who continue to challenge their markets and competitors. As a challenger ourselves, we partner with our customers to guide them through their digital transformations and extract the most value out of our software solutions. 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 #ForTheChallengers and if that resonates with you, we would love to hear from you!

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

Job Description

We are looking for a Senior Data Scientist who loves solving difficult problems and helping implement solutions in a production environment. Someone who brings a positive energy to the team, thrives on strong collaboration, and who strives for constant improvement in both themself and the team in meaningful ways. Someone who will be a key player within our global Automation team and will help us transform our Artificial Intelligence and Machine Learning vision into a reality.

As a key member of 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 predictive maintenance, demand planning/forecasting, optimization, and autonomous intelligent assistants. Your expertise as 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 planning implementation and delivery with an eye on scalability and development timelines.

Your ability to communicate the benefits of the chosen solutions to different stakeholders, both technical and business-focused, will help the Automation team to acquire internal and external buy-in and to secure the needed collaboration with the other product groups.

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


This is a highly technical, mid-senior 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 discussions and integration tasks for data science projects.
  • Create automated tools to facilitate adoption of data science solutions across product areas.
  • Work in close collaboration with Data Engineers, Data Scientists and Software Engineers on the definition, creation, and deployment of bespoke and industry-wide ML models.
  • Work closely with software architects on the implementation of core ML Services to bring AI-fueled automation into our products.
  • Present data exploration findings and model outputs in a domain/business context to clients and internal stakeholders and provide actionable recommendations.
  • Work with product and program management to ensure that complex solutions can be broken into incremental steps to ensure continuous value delivery.


Skills and Experience

  • Proven knowledge of the Data Science lifecycle backed by a history of successfully completed projects.
  • Proven track record of building and deploying predictive models in a production setting. Model evaluation, versioning, serving and monitoring.
  • Proven knowledge of advanced statistical modelling and analysis.
  • Expert knowledge of ML development tools/libraries.
  • Excellent communication skills, with the ability to couple subject matter expertise with strong statistical skills.
  • Result-driven individual, passionate and self-starter, proactive requiring minimal supervision, highly organized, have an ability to handle multiple tasks, creative and strategic thinker.

Any of the following skills will be considered an asset:

  • Experience with automation of the Data Science life cycle: automatic feature selection/engineering, auto-modelling, auto-tuning.
  • Expertise in Conversational AI, NLP, Transfer Learning.
  • Intelligent assistants, Knowledge base/graph and recommender systems.

Nice to have:

  • Reinforcement learning.
  • Evolutionarily computing, genetic algorithms (GA), Simulated Annealing (SA).
  • Cloud technologies and Big Data ecosystem tools (Spark, Databricks, etc.)

Additional Information

For further information, please contact

Interviews and selections are being made continuously. If you are interested, apply as soon as possible, no later than Sunday May 9th, 2021.

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

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