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Data Scientist, Consumer Insights, Data Science

4 months ago

Mississauga, Canada Compass Digital Labs Full time

**Who we are**

Compass Digital is a tech company that drives innovation for Compass Group NA, an $18 billion food hospitality organization. Compass Group serves over 3 billion meals per year in award-winning restaurants, corporate cafes, hospitals, schools, arenas, museums, etc. As the innovation branch of Compass Group, we're custom-built for fast-paced transformation at the intersection of hospitality and technology. We're focused on delivering the best experiences for our customers and consumers.

**What we do**

We are a team of high-performing problem solvers with the same vision: to drive the digital future in hospitality. As digital experts, we are focused on building a diverse set of products and solutions for our consumers. Our core products include mobile apps and cloud-based platforms. We also invest in areas like AI, IoT and frictionless retail. to evolve, explore and develop the future of hospitality and technology.

Our group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics and delivering them to clients through our data platforms.

This Role will work with our Consumer Insights Domain Experts, to discover and surface unique business insights that can be scaled to our organization and partners. You will design, build, and deploy automated segmentation models to identify unique groups and enhance our feature store for downstream modeling. You will work with our clients to identify opportunities to support unique business initiatives.

**Must-Haves**
- A background in Computer Science, Computational Science, Mathematics, or a related field.
- Strong Experimental design, A/B Testing, ability to develop statistical tests and controlled trials
- Experience with data preprocessing, feature and representation learning, and anomaly/outlier detection.
- Advanced programming skills in one or more of the following languages: Python, JavaScript, Typescript, Golang
- Create and maintain ETL processes and automated dashboards that can be leveraged to find insights
- Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

**Nice-To-Have**
- Knowledge of Parallel Programming and High-Performance Computing.
- Experience with AWS SageMaker would be an asset
- Experience deploying apps on cloud (AWS, GCP, AZURE)
- Advanced experience in one of the following: Tensorflow, Pytorch
- Experience with advanced topics like Deep Learning, NLP, Segmentation, Recommender systems etc.

**What’s in it for you?**

We thrive on the challenge to be our best, progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

Leaders who support your development through coaching and managing opportunities

Ability to make a difference and lasting impact

Work in a dynamic, collaborative, progressive, and high-performing team

Interactions with multiple cross-functional teams, exposure to many components of data technology

Opportunities to do challenging work

**Responsibilities**
- Data support (10%)
- Translate complex analytical results into actionable business initiatives
- Develop a deep understanding of the business, its data, and its patterns
- Extract data from multiple sources to uncover opportunities or detect issues
- Contributes actively to the design of novel solutions to generate value from data
- Project delivery (50%)
- Develop a deep understanding of a specific business area & challenges the roadmap
- Solve unstructured problems while exhibiting independence and work ownership
- Work in collaboration with different teams to refine initial concepts and prototypes that can be presented to stakeholders for feedback
- Research, develop and deploy data models and systems to various stakeholders under multiple projects to clearly communicate, elucidating patterns and generating actionable insights and tools
- Partner with strategic business stakeholders to provide evidence-based guidance
- Maintain & support data science solutions & projects
- Delivers & support decision making and decision support systems
- Review & contribute to technical documentation
- Ownership and accountability (20%)
- Be accountable for code quality
- Measure accuracy & performance of developed models & solutions
- Monitor deployed decision making and decision support systems
- Knowledge sharing and coaching (10%)
- Contribute to data mining architecture, modeling standards and data analysis methodologies
- Coach more junior data scientists on best practices and machine learning solution design
- Architecture (10%)
- Identify dependencies & impacts between systems
- Develop and continuously improve processes, tools, and techniques

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