Data Scientist

2 weeks ago

Edmonton, Canada ATB Financial Full time

**Our bottom line is different.**

There’s something special about working at ATB, and it’s been recognized on every top employer list that matters. Maybe it’s our exceptional culture where your total wellness is supported through market-leading benefits and you’re free to bring your whole self to work. Maybe it’s our commitment to a growth mindset and our unrelenting thirst for making it possible for fellow Albertans—even the ones who aren’t our clients.

Whatever it is, you won’t find a more genuine, driven and knowledgeable group of humans anywhere. We foster a culture of purpose, performance and possibilities. We engage with intense curiosity, and bring our whole selves to work, every day. We know it starts with people like you, so take a chance and start with us.

Department: Risk Modelling

Job Number: REQ6226

Location: Edmonton, AB ( Hybrid)

Paygrade: J - OTH

System Title: Data Scientist 5

Positions available: 1

Leader Name: Wilson Kan

Work Arrangement: Hybrid (3 days a week at ATB Place)

As ATB’s next Data Scientist in the risk model team, you will be responsible for executing existing expected loss models, implementing new models and model monitoring frameworks and building statistical models. In addition, the risk model team is currently converting from one platform (SAS) to another (Google Cloud/Python), which this role will aid the conversion process as one of the primary users of the code.

The Data Scientist designs, develops and deploys ML/AI algorithms to analyze data and optimize team or organizational decision making.

**Responsibilities**:

- Researches and analyzes data to find deep relations within data to be used in the ML/AI algorithms
- Works across multi-disciplinary teams to translate business needs into testable hypotheses and then design experiments to test said hypotheses
- Collaborates with other members of the Data team to support investigation across a variety of topics
- Executes business as usual code processes for reporting expected loss and updating required data
- Implements model performance frameworks
- Update and document existing models to current best practices

**Requirements**:
Accreditations:

- Degree in data science, computer science, economics, statistics or related field
- Understanding of SQL-based technologies (e.g PostgreSQL, MySQL)
- Understanding of machine learning techniques and algorithms (Regressions, NN, Decision Forests, etc)

Core Technical Skills:

- Data science - ability to extract insights from data using principles of statistics, data wrangling, software engineering, basic programming, etc.
- Machine learning, AI, and algorithm design
- Programming & model construction - Programming in languages for data science (Python, SAS)
- Data analytics skills including data mining and prescriptive, predictive, descriptive and diagnostic analytics
- Experience with data topics including data engineering, data cleansing, curation, harmonization and packaging, and data reporting visualization & dashboarding tools
- Development and coding skills including: modular coding & pipeline automation, source code management (Gitlab), and development tools

Interpersonal and Leadership Skills:

- Written and verbal communication

**At ATB, we know that as you develop in your career, you gain many transferable skills.** If you believe your experience and qualities are what we are looking for, please consider applying

**Benefits**

**Be great. Be you. Believe.**

**What happens next?**

**Stay in touch**

ATB is excited to know you’re interested in a career with us Follow us on LinkedIn, Facebook and Instagram to get the inside scoop on what our team is up to.

LI-Hybrid

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