Data Scientist

6 months ago

Edmonton, Canada Go Auto Full time

**Job Description**:
**CAREER ACCELERATION **AWAITS -** Ignite Your Journey with Go Auto**

Location: Edmonton, AB, Canada

Are you ready to unleash the full potential of your career? At Go Auto, we're not just following the beaten path, we're blazing a trail into the future of automotive retail, with over 60 dealerships across the map and a presence in various domains (28 brands and counting). We are also branching out into the grocery space, opening the first location of L’OCA Quality Market this Spring in Sherwood Park. We are looking for a passionate data scientist to join our team and help us solve business challenges with a data-driven approach. From **descriptive **to **predictive analytics**, you will immerse yourself in** inventory optimization**, **customer loyalty **and **lead conversion**.

**Key Responsibilities**
- Extract, transform and load large datasets from various sources, across different environments.
- Create visualizations, charts and dashboards to communicate findings with stakeholders.
- Build predictive models utilizing mathematical concepts, including machine learning.
- Craft algorithms that anticipate customer desires and purchasing habits.
- Collaborate with other team members across departments and functions of the business to implement data-driven solutions.
- Support the L’OCA Team build and maintain a production schedule for their gourmet kitchen and restaurants.
- Support the Go Auto Team in understanding and improving the lead conversion funnel.
- Fine-tune the inventories of our car dealerships, RVs, grocery store and restaurants.
- Stay updated on data science, technology and industry trends.

**Qualifications**
- A degree in Computer Science, Statistics, Applied Math, or related fields; a Master's or PhD adds horsepower to your credentials.
- Experience in Python, SQL, statistical modelling techniques, machine learning, descriptive and predictive analytics.
- Outstanding problem-solving and analytical skills.
- A keen eye for detail that can spot a needle in a haystack (or an outlier in a dataset).
- A passion for narrating stories with data because numbers need context to drive impactful decisions.
- Outstanding collaboration skills to work seamlessly with teams, ensuring smooth pit stops on your journey.
- Bonus: experience in the Microsoft Azure / Fabric stack.

**But wait, **there's** more **Here's** **what's** in it for you**
- A **Supportive Culture** - We value your expertise and recognize the value you bring. Join our team and enjoy a collaborative and inclusive work environment where your ideas are heard and appreciated.
- ** Competitive Compensation** - We appreciate the dedication it took to get to where you are and we offer a competitive salary that reflects your hard work and accomplishments.
- ** Professional Development** - We're committed to your growth and development as a professional. As a Data Scientist at Go Auto, you'll have access to ongoing training and opportunities to expand your skill set.
- ** Work-Life Balance** - We understand that achieving balance is crucial for success. With generous vacation time, you'll have the opportunity to recharge and enjoy your personal life.
- ** Comprehensive Benefits** - Your well-being is important to us. We offer comprehensive benefits, including health care, dental coverage, and a health spending account to support your overall well-being.
- ** Making an Impact** - We believe in making a positive difference in our community. Each year, we contribute to causes such as the Kids with Cancer Society and Go Auto Fuels the Schools. Join us and be part of our giving back initiatives.
- ** Career Growth** - We're invested in your long-term success. At Go Auto, you'll have ample opportunities for career growth and advancement, allowing you to reach new heights in your professional journey.

At Go Auto, we're committed to building more than just a job; we're building a fulfilling career path. During your interview, don't hesitate to ask us about the success stories of others who have thrived in their roles within our organization.

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