Senior Data Scientist
IFS
Ottawa, Canada
2d ago

OUR OFFER

At IFS you will work in a growing, global enterprise software company where informal hierarchies promote simplicity and trust with responsibility.

We strive to deepen our expertise by taking on challenging and varying work assignments in a collaborative environment together with committed colleagues.

With professionalism and a strong customer focus in everything we do, from Product Development to Sales and Consultancy, we are proud to serve world-class customers all over the globe with our leading products.

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.

We are looking for a Senior Data Scientist who is flexible and with tenacity for solving difficult problems. We need someone who brings a positive energy to the team and thrives a strong collaboration, someone who strives for constant improvement in both himself and the team in meaningful ways.

Someone who will be a key player within our global Automation team and will help us turn our Artificial Intelligence and Machine Learning vision into a reality.

As a key member of the Automation team, you will be bringing Artificial Intelligence and Machine Leaning capabilities to the next generation IFS Business Platform for Enterprise Resource Planning, Asset Management and Field Service Management.

You will be working on complex problems ranging from predictive maintenance, demand planning / forecasting, optimization and autonomous intelligent assistants.

Sound interesting? Then join us as our new Senior Data Scientist!

Responsibilities :

  • 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 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.
  • Act as AI / ML technical expert to evaluate / recommend the adoption of new / emerging technologies.
  • 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.
  • Proven knowledge of advanced statistical modelling and analysis.
  • Experience implementing ML pipelines in production. Model evaluation, versioning and monitoring.
  • 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 :

  • Intelligent assistants and recommender systems. Knowledge graphs (Labeled Property graphs / RDF) and / or semantic networks.
  • Graph database technologies.
  • NLP, text mining (intent, sentiment, etc.), Cognitive Services.
  • Conversational AI (chatbot technologies, etc.)
  • Explainable AI
  • IFS FACT

    IFS develops and delivers enterprise software for customers around the world who manufacture and distribute goods, maintain assets, and manage service-focused operations.

    The industry expertise of our people and solutions, together with commitment to our customers, has made us a recognized leader and the most recommended supplier in our sector.

    Our team of 4,000 employees supports more than 10,000 customers worldwide from a network of local offices and through our growing ecosystem of partners.

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