Data Scientist

6 days ago

Kitchener, Ontario, Canada Kindred Credit Union Full time

At Kindred Credit Union, you will be part of cooperative banking that connects values and faith with finances, inspiring peaceful, just, and prosperous communities.

You're invited to make a difference as a full time
Data Scientist in Kitchener.

  • This is a 6 month contract opportunity._


Reporting to the Manager, Software Development, you will analyze, design, and implement data science/machine learning solutions using Kindred's suite of analytics tools.

You will use analytical, statistical, and programming skills to collect, analyze and interpret large data sets.

Leveraging this information, you will develop data-driven solutions to help Kindred solve organizational challenges, discover new growth opportunities and identify where improvements can be made.


Key Responsibilities:

  • Identify, process, cleanse, investigate, and validate the integrity of data from various data sources.
  • Leverage various tools, algorithms, and machine learning principles to identify and analyze trends, patterns, and insights from raw data to find answers to specific business problems.
  • Build predictive models and machine learning algorithms and improve results based on measurements and stakeholder feedback.
  • Present data using various data visualization techniques and propose solutions and strategies to tackle business challenges.
  • Provide leadership within business and technical teams to assist with understanding of Business Intelligence gleaned from data assets.

What to bring
You bring strong analytical skills and experience developing & implementing predictive analytics solutions.

If you want to continually grow your skills and abilities, experience that your career has meaning and purpose, and become part of a community of people passionate about the work they do and the impact they can have, Kindred is the place for you.


Plus, you bring your qualifications and experience:

  • Post-secondary education in computer science, data science, or mathematics
  • 12 years in a data analysis role
  • 12 years working with large data processing technologies
  • Advanced programming skills in: SQL, Python, and R
  • Knowledge of Parallel Programming and High-Performance Computing

Why Kindred


You will be part of a collaborative workplace where you'll be asked to participate in the business and share your voice.

You'll be expected to continually grow your skills and abilities and to share your expertise and experience with colleagues. For many roles, we offer flexible and remote options that we can discuss with you.
For many roles, we offer flexible and remote options that we can discuss with you.


We believe that your life is bigger than any job, so we'll work together to achieve work-life quality and to care for your overall wellness.

And of course, your rewards package includes competitive total compensation plus an array of financial products and services at preferred rates for staff.

When you choose Kindred to further your career, you're joining an engaged workforce at a certified B Corp that is committed to using business as a force for good and acting as an advocate for a Living Wage.


Our comprehensive total rewards package includes:

  • Competitive total compensation
  • Starting salary range $71, ,500 annually (H band)
  • Group benefits plan & commitment to staff wellness
  • 3 weeks vacation (prorated to FTE contract length)
  • Staff benefits on financial products & services

RSVP

  • As a team of people who, with compassion, integrity, and stewardship, care deeply about each other, our members, our communities, and our world, Kindred is committed to building an equitable, diverse, and inclusive workplace. Kindred's valuescentered and faithinspired, warmly professional, expressly invitational characteristics compel us to be a place that understands, respects, and values, and treats equitably all people of every race, national or ethnic origin, colour, religion, age, sex, sexual orientation, gender identity or expression, marital status, family status, genetic characteristics, and disability._

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