Data Scientist

Servus is a growing organization with an aspirational vision. We champion financial fitness, providing appropriate advice, support, and tools that enable informed money management decisions, because it puts people in the driver's seat and helps them feel good about their money. As the financial landscape changes rapidly around us, we have to reimagine how we provide these services so Servus can grow and thrive, bringing the power of our noble purpose to more people for years to come.

To achieve our vision, Servus is transforming to a truly data driven culture and are making significant investments in both our technology and our people. We want employees who passionate about data and believe that data driven decision making can drive growth, create differentiation, and deliver a more personalized banking experience for our members.

We are looking to hire an amazing Data Scientist who wants to grow their career and have the opportunity to contribute meaningfully towards our organization's vision and objectives. If you thrive working with large diverse data, embody an innovative and entrepreneurial spirit, and have a track record of thinking outside of the box to deliver machine learning and AI solutions that drive better customer experiences and business growth then we want to meet you.

Apply before: February 28, 2023

Reporting to the Manager, Data Science, the Data Scientist conducts new or enhanced analytical approaches to drive insights to support the credit union’s overall strategic plans and business objectives and offers recommendations and input into decisions pertaining to business risk and opportunities. As a Data Scientist, you are accountable for modeling to solve complex problems, developing predictive systems and identifying opportunities using algorithms, mining and visualization techniques. In addition to advanced analytic skills, you are also proficient at utilizing leading edge techniques for analyzing social media, transactional/sales data, unstructured data, market research surveys, employee data and other data sets.

In this position, you will support and provide leadership to the Data Analytics team members, and other internal departments and stakeholders. The Data Scientist takes ownership, and delivers on, cross- functional projects that have been assigned. You'll bring the ability to acquire and understand business needs - question and translate them into an effective analytics plan, execute the analysis, and then translate the findings into strategic insights and provide actionable recommendations.

The scope of your responsibilities will include, but are not limited to:

• Leading, planning, and following an agile Team Data Science process, for assigned projects on an end-to-end basis, defining a suitable data-oriented approach to address a business problem, and developing a work plan for all stages of the Data Science life cycle.
• Utilizing innovative new approaches incorporating predictive modeling, data and text mining, machine learning approaches, clustering and classification techniques, regression procedures, conjoint/discrete choice modeling, and other techniques to analyze current and prospective members and deliver actionable insights and predictive models to drive business growth and member engagement.
• Stakeholders span our full range of retail, commercial, and wealth business lines, and a broad selection of engagements including member acquisition, cross sell, recommendations, product line optimization, online and mobile app analytics, risk management, and fraud monitoring

Requirements

To qualify, you will need at least the following:

• Undergraduate degree in a quantitative discipline such as Statistics, Econometrics, Mathematics, or equivalent work experience.
• Advanced level skill in data analytics and programming applications such as SPSS, Python, R, and Excel.
• Exceptional analytical and conceptual skills – ability to interpret measurement results and understand the business implications.
• Strong knowledge of statistics and predictive methods such as SEM, multiple and logistic regression, Bayesian modeling, support vector machines, deep learning, tree induction techniques like CHAID, CART, random forest, decision tree, and natural language processing.
• Proven experience in the development, deployment, and management of predictive models, in alignment with a ML Flow methodology.
• Ability to work within a Databricks platform as well as experience working with Apache Spark
• Multi-tasking and priority setting – ability to effectively manage multiple projects of varying complexity.
• Ability to work independently and as part of a team.
• Able to translate complex data into actionable insights and recommendations.
• Previous experience in model deployment, whether in live stream data or within an application
• Have proven experience effectively managing projects and workflows within an agile environment following a Microsoft Team Data Science Process.
• Previous experience in marketing analytics is desirable.
• Experience with cross-sell, up-sell, retention, and customer lifetime value models.
• Excellent communication skills, both written and verbal, and demonstrated effectiveness in working with both business and technical audiences.

Most importantly, we are looking for candidates with enthusiastic energy, who embrace innovation and creativity, and demonstrate impeccable communication skills in building rapport with our stakeholders. If you are a positive, organized, and detail-oriented individual looking for long-term career growth delivering meaningful impact within a growing organization, then we encourage you to apply!

Benefits

Where we work?

This position qualifies as a fully remote however, if desired, Servus has introduced a new flexible hybrid work model which consists of a combination of working in the office and working remotely. The hybrid approach provides employees with more flexibility, while still allowing employees to connect in person and remotely and building upon the culture that makes Servus such a great place to work.

Benefit packages are more than just health and dental coverage, we offer our employees flexible and practical benefits that make sense for all seasons of life.

Some of the benefits our employees love include:

• Immediate financial service benefits: No-fee bank accounts, low staff rates on loans, mortgages, and Servus Mastercards, and Interest rate increases on deposit products!
• Flexible health and dental benefits – you choose what works best for you
• 100% matched Group RSP programs and pension plan options
• Life insurance, travel insurance, and short and long-term disability
• Vacation purchase program
• Personal care days
• Flexible health and/or wellness spending account
• Employee/family assistance program

By creating a healthy and inclusive work environment and providing employees with the tools and support they need, we help our employees achieve their potential. Servus is committed to providing a great place to work, and we invest in our employees by ensuring they have:

• A supportive and engaging working environment
• A total rewards strategy that includes recognition for a job well done
• Training and learning programs to support professional and personal growth
• Opportunities to get involved and give back. If you are interested in work for a company who has a proven record of corporate social responsibility check us out!

What happens next?

Thank you for applying with Servus Credit Union! If you are shortlisted for this opportunity, you will hear from us after the posting closes. Only candidates being considered will be contacted.

We are building a culture where diversity, equity, inclusion, and belonging are at the center of why we work and how we work. Should you require an accommodation during the application and selection process, please contact us at strategicstaffing@servus.ca.

Servus Credit Union is an equal opportunity employer and employs personnel without regard to race, colour, ancestry, place of origin, religious beliefs, gender, gender identity, gender expression, age, physical disability, mental disability, marital status, family status, source of income, and sexual orientation.