Data Science Consultant - Jobs in Vancouver, BC

Job Description

At ProCogia were passionate about developing data-driven solutions that provide highly informed answers to our clients most critical challenges. Our projects are varied, from Data Warehouse builds, deploying Cloud Data Solutions, Dashboarding, & building predictive models. You may be involved in all stages of the project life cycle, from Data Engineering / Integration to building pipelines & right through to advanced analytics.We work with industry leading clients from various sectors including Pharmaceuticals, Telecommunications, Technology, Financial Services & Retail. Our work environment ensures opportunities to gain valuable experience in various industries enhancing your personal & career development.ProCogia has doubled in size over the last two years & core to ProCogias culture is ensuring we maintain a balanced male to female ratio. We are proud to share our consulting teams consist of 40-50% females compared to the industry standard of 10-20%. Our diversity, and differences allow us to create innovative and effective solutions for our clients.We are looking to hire a Data Scientist, both entry level and experienced, to join our team. The ideal candidate is a passionate and highly skilled individual, who can contribute to the design and development of data analytics offerings as a service through extensive use of statistics, data mining, modern machine learning, and optimization techniques. If you enjoy understanding complex business problems and using the latest tools and methods to solve them, then this job is for you. As a member of our team, you will be joining a diverse group of analytics experts that is committed to delivering high quality analytics solutions to a highly varied clientele.Responsibilities:Develop relevant, accurate, and actionable predictive models using multiple data sources while maintaining security and privacy of sensitive data.Evaluate and leverage modern tools and techniques with readily available skills for predictive analytics like R, Python Pandas, Microsoft Azure ML etc., with the objective of handling data scale, data variety, analytic speed, and business relevance.Collaborate with data engineers to build capability for machine learning experimentation and reporting/visualization of results.Collaborate with, and coordinate between, multiple teams in business, technology, and analytics.Required Skills and Experience:PhD or MS in a quantitative field with a deep understanding of mathematics, statistics, and computer science.Experienced hires: Minimum 3 years of experience in the data science field with increasing responsibility.Expertise in both supervised and unsupervised machine learningExperienced hires: Minimum 3 years of experience performing data science work in Python.Experience with Spark for big data manipulation.Advanced knowledge and experience working with relational databases to manipulate data and derive insights using SQL.Business and analytical thinker, with an ability to translate business problems/opportunities into data analytics solutions.Strong communication and team building skills.Demonstrated ability to learn new techniques and tools as needed. A self-starter, always exploring ways to improve yourself and your work.Preferred Skills and Experience:Experience with cloud tools on AWS and/or Azure.Experience with big data architecture and tools, especially Hadoop and Spark.Comfortable working at the command line on Unix based systems.Experience in a client facing or management position.Experience with front end tools like PowerBI and open-source libraries such as plotly, shiny, d3.js etc.ProCogia is proud to be an equal opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Quick Apply

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