SkyHive Technologies Inc.

Data Scientist

Data Scientist in Vancouver, BC

Posted 2020-01-28
Description

The Opportunity

Do you enjoy solving complex problems? Are you a systems thinker who’d rather debate the concept than argue the example? Do you prize logic, feel accountable and hold others to a high standard?

If your answer to these questions is “yes”, then we want to hear from you! Every day, SkyHive's startup environment will present new challenges, opportunities to grow, and a place to build something truly unique.

We are looking for a talented Data Scientist who can dive into high volumes of quantitative data, raw telemetry, and survey data. The ideal candidate will have a strong foundation in data science and will be willing to take initiative in pioneering new methods of modeling and analytics.

The Role

Perform research in NLP/Deep Learning and build machine learning models to improve content understanding, content ranking & recommendations.
Prototype machine learning algorithms and assess how to apply them to solve business problems.
Analyze data sources and perform data collection/annotation.
Maintain and improve the performance and effectiveness of existing Natural Language Processing (NLP) algorithms.
Work with the team to build data pipeline/infrastructure to deliver machine learning algorithms into production

Who are you?

Qualifications (Must haves)

Minimum 2 years of Python experience
Knowledge of and experience working with machine learning tools such as Tensorflow, PyTorch, Keras, spacy…
Minimum 2 years of Natural Language Processing experience
Familiar with Deep Learning concepts and how to do NLP using Deep Learning
Have good developer skills supported by real-life experience
Self-starter instincts

Nice-to-haves

Be a Kaggler
Have open source projects
Familiarity with recent development in the field of Deep Learning/NLP

Who are we?

Recognized as a top startup by Forbes, Startup Grind, and C100, SkyHive is an award-winning AI technology that deepens our understanding of labour markets, workforces and individuals, enabling new ways of acquiring, developing and engaging talent.

Established in 2017 with the mission of tackling global poverty and social inequality, SkyHive aims to utilize its exponential technology to stimulate economic empowerment and lifelong learning; ultimately fostering a stronger, more prepared, and more confident workforce to welcome a brighter tomorrow.

What do we offer?

Opportunity to get your foot in the door of a fast-growing tech company
Collaborative team environment and culture with a flat organizational design
Comprehensive health benefits package & MSP coverage
Three weeks’ paid vacation to start, paid holidays and birthday leave!
Stock options & gainsharing plan
Certified B-Corp
Paid & unpaid volunteer time off
Charitable donation matching program to support your favorite charity.
Opportunity to explore other departments as training and career continues.
Professional development assistance program that covers professional continuing education
Beautiful pet-friendly office in A1 location with stunning views, beer, and cider on tap and an in-house gym
Numerous employee appreciation events throughout the year
Please note: Candidates will be asked to complete a technical test during the interview.

Ready to be seen?

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Company summary

Recognized as a top startup by Forbes, Startup Grind, and C100, SkyHive is an award-winning AI technology that deepens our understanding of labour markets, workforces and individuals, enabling new ways of acquiring, developing and engaging talent.

Established in 2017 with the mission of tackling global poverty and social inequality, SkyHive aims to utilize its exponential technology to stimulate economic empowerment and lifelong learning; ultimately fostering a stronger, more prepared, and more confident workforce to welcome a brighter tomorrow.

Mission: SkyHive delivers new ways to bring work, enterprise development and innovation to the digital World.

Perks

• Opportunity to get your foot in the door of a fast-growing tech company
• Collaborative team environment and culture with a flat organizational design
• Comprehensive health benefits package & MSP coverage
• Three weeks’ paid vacation to start, paid holidays and birthday leave!
• Stock options & gainsharing plan
• Certified B-Corp Status
• Paid & unpaid volunteer time off
• Charitable donation-matching program to support your favorite charity.
• Opportunity to explore other departments as training and career continues.
• Professional development assistance program that covers professional continuing education
• Beautiful office in A1 location with beer and cider on tap and an in-house gym
• Numerous employee appreciation events throughout the year

Tech Stack

Our stack is Angular/Typescript – C# (.NET Core) – MongoDB

Interview process

Step 1: Pre Screen Zoom Interview with Screen Sharing and a Technical Test
Step 2: In Person Technical Interview with 2 Members of the Team
Step 3: Culture Interview with Director of People and Culture and 1 Other Member of the Team

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