Data Science Consultant (CE-985)

Data Science Consultant (CE-985)

09 Sep
|
ProCogia
|
Toronto

09 Sep

ProCogia

Toronto

At ProCogia we're 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.



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 ProCogia's culture is ensuring we maintain a balanced male to female ratio. Our diversity,

and differences allow us to create innovative and effective solutions for our clients.



The Data Science Consultant contributes towards ProCogia's mission to enable our customers to make intelligent and agile decisions through strategically tailored data solutions. The Data Science Consultant works with our customers to explore data, design and build data pipelines and actionable insights with custom reports, dashboards and data models. The Data Science Consultant utilizes best practices in the Data Science workflow and pioneers innovative solutions to our customers biggest problems.



The ProCogia Mission



ProCogia aims to empower organizations to achieve sustainable advantage through data.



We enable our customers to make intelligent and agile decisions through strategically tailored data solutions. We attract, develop and retain diverse, motivated and collaborative team players who love what they do.



Responsibilities



The Data Science Consultant has the following responsibilities and duties:



Consult with key stakeholders to understand requirements.

Plan out work in an agile framework, taking part in internal daily scrum meetings and other agile activities as adopted by the team.

Design, build and test solutions to customer problems in a robust manner.

Build reports and/or dashboards to showcase results to stakeholders in the technology that is most accessible to them.

Utilize advanced analytical techniques to build smart solutions to customer problems.

Actively take part in and contribute to key customer facing meetings.

Be a thought leader, understanding customer problems and proposing solutions that most effectively solve them.

Keep up to date with best practices and continuously seek to learn new skills.

Validate new skill development through pursuit of relevant certifications.

Contribute towards the growth of the business by observing opportunities for upselling or cross-selling within the customer organization.

Contribute to development of the delivery team and their practice area through participating in internal TED talks, mentoring junior team-mates and developing reusable training materials and standard operating procedures.

Contribute to the broader business through involvement in recruiting, marketing and sales activities.

Contribute to the overall collaborative and innovative culture of the company by taking part in group events and spearheading initiatives that grow the company and help make life at ProCogia more enjoyable for all.



Requirements



The Data Science Consultant should have the following skills, education and experience:



Skills



Required:

Experience building ML algorithms for search ranking, personalization & recommendation customer facing products

Expertise using ML to build recommendations in visual search

Experience with improving an organization's 'search' experience enhancing customer experience

Experience building computer vision and NLP models

Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries

Advanced Statistical Analysis

Data Visualization Skills (Shiny and/or PowerBI preferred)

Experience building Machine Learning and Deep Learning libraries

Machine Learning Frameworks (SparkML preferred)

SQL (Structured Query Language)

Experience with Structured and Unstructured Data

Git for Version Control

Working with Command Line on Unix based systems



Preferred:

Spark Experience (PySpark preferred)

Cloud Experience (AWS and Snowflake preferred)

Docker and Kubernetes experience

SDLC (Software Development Life Cycle) experience

AI (Artificial Intelligence) and Deep Learning experience

Python, SQL, Hive, etc.



Education



Required:

Bachelors in a quantitative field with a deep understanding of mathematics, statistics, and computer science.



Preferred:

Masters or PhD in a quantitative field with a deep understanding of mathematics, statistics, and computer science.



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.

The original job offer can be found in Kit Job:
https://www.kitjob.ca/job/20518536/data-science-consultant-ce-985-toronto/?utm_source=html

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