Data Scientist

What is the opportunity?

RBC Technology Infrastructure seeks a Full Stack Data Scientist (DS) to explore and operationalize big data sources to reduce outage and down time for RBC services that leads to improve user experience and save costs. Seeking a DS with experience in applied research and problem solving to join our team. The successful candidate will have experience with developing and deploying production grade AI/ML solutions, have broad expertise in statistics, analytics, ML and strong programming skill.

What will you do?

• Lead full life-cycle Data Science solutions from beginning to model deployment and monitoring and partner with the engineering team to ensure best practices for ML model deployment.

• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

• Experience in (Python, R, Scala, SQL, NoSQL, etc.) to obtain, integrate, manipulate, and analyze data from multiple sources.

• Expertise in statistical data analysis (e.g. univariate/bivariate analysis) and data quality assessment.

• Build Gen-AI, Machine Learning, Deep Learning and statistical models to solve specific business problems.

• Developing predictive data models, anomaly detection model, quantitative analyses and visualization of targeted big data sources.

• Leading data exploration and analytic projects and providing on-going coaching of big data topics (visualization, data mining, analytic techniques).

• Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques.

• Overseeing the acquisitions and ingestions of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data.

• Utilizing APIs to collect data from various products into the Data Warehouse Database.

What do you need to succeed?

Must have:

• University, Master or Ph.D. degree in an analytical field of study(e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field).

• Experience creating and using Gen-AI , advanced machine learning algorithms and statistics: Classification and Clustering, Forecasting, Predictive modeling, Recommender Engine, Anomaly detection, Optimization, Simulation, Regression, etc.

• Excellent working knowledge of Reinforcement learning (DynaQ/Q+, SARSA, TD, Monte Carlo).

• Excellent knowledge in MS SQL Server DBA.

• Good knowledge with Microsoft Windows Server Administration.

• Excellent knowledge in Python, SQL and C# Programming languages.

• Excellent Knowledge in cloud orchestration.

• Excellent knowledge in Experience with SSIS, Spark, cloud computing services (e.g. AWS), Hadoop.

• Experience with BI tools such as Tableau, Looker, PowerBI, and DOMO for dashboarding or analysis

• Strong communication, collaboration, and problem-solving skills

• Ability to prioritize work and manage multiple work streams concurrently

Nice-to-have:

• Ability to create data architectures.

• Experience in data applications using large scale distributed systems (e.g. Spark, Hadoop, Pig, and Hive).

• Broad knowledge of ML methods, statistical analysis, and problem-solving skills.

• Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets.

• Familiarity with structured and non-structured data.

• A desire to learn new techniques and technologies

Whats in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• A world-class training program in financial services

• Flexible work/life balance options

• Opportunities to do challenging work

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