Senior 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. 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.

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


  • Envision, design and implement reliable ML pipelines that translate raw data into powerful predictive models to solve mission critical problems.
  • Help identify high value/high impact AI/ML opportunities within the IFS product offerings.
  • Work in close collaboration with Data Engineers, Data Scientist 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.
  • Act as AI/ML technical expert to evaluate/recommend the adoption of new/emerging technologies.
  • Create automated tools to facilitate adoption of data science solutions across product areas.
  • Lead technical solution discussions and integration tasks for data science projects.
  • Present data exploration findings and model outputs in a domain/business context and provide actionable recommendations.


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 (MLOps).
  • Proven knowledge of advanced statistical modelling and analysis.
  • Expert knowledge of Python, pandas, scikit-learn, TensorFlow, Keras, PyTorch or similar development tools/libraries.
  • 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, auto modelling, auto tuning, etc.
  • Intelligent assistants and recommender systems. Knowledge graphs (Labeled Property graphs/RDF) and/or semantic networks.
  • Graph database technologies.
  • Content detection and analysis (NLP, text mining, intent, sentiment, etc.), MS Cognitive Services, Apache Tika, etc.

Nice to have:

  • Evolutionarily computing, genetic algorithms (GA), Simulated Annealing (SA).
  • Reinforcement learning.
  • 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 February 21st.

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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