What is the opportunity?
Are you passionate about the use of data science to improve workforce experiences? Do you dream about how recommendation engines and driver analytics can inform best in class talent development, and support the workforce of the future?
In this role, you will lead the analysis, design and implementation of data science solutions to questions pertaining to the workforce, using RBC’s enterprise suite of analytics tools. Data Science allows us to better understand the implications of what information means, identify trends, anticipate future behaviors, perform pattern matching, and predict the outcomes of future events. The People Analytics team specializes in taking full advantage of our workforce data and related datasets such as voice to text, listening data and non-traditional employee inputs to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies machine learning and statistical modelling techniques to help RBC understand the changing workforce discover new growth opportunities and determine where business improvements can be made. The group is equipped with capabilities in text analytics/Natural Language Processing, Big Data advanced analytics and Machine Learning.
What will you do?
Data scientists analyze data using statistical, machine learning, and analytics techniques to solve complex problems, discover insights and identify business opportunities.
Statistics & Machine Learning: Autonomously direct data science initiatives to uncover business value using statistical, machine learning and analytics techniques.
Technology: Prepare and integrate large and varied datasets and implement statistical and machine learning models using Python and R. Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single node architecture to parallel processing grid technology. Create software packages that can be reused inside the enterprise.
Domain Knowledge: Use deep business domain knowledge to independently lead the analytics process to identify valuable and innovative insights.
Autonomously direct data science initiatives related to our workforce to uncover business value using statistical, machine learning and analytics techniques
Deploy production-scale solutions, transforming statistical and machine learning models
Use deep business domain knowledge to independently lead the analytics process to identify valuable and innovative insights.
Create software packages that can be reused inside the enterprise
Promote analytics across the enterprise to enable RBC to become a data-driven organization
What do you need to succeed?
Masters or PHD in Mathematics, Statistics or Computer Science
10+ years of experience with big data technologies, Machine Learning, Data Mining, Statistics
5+ years managing data scientists
Experience with big data technologies – Hadoop (Pig, Hive), NoSQL/SQL databases, parallel processing techniques and Apache Spark
Familiar with a range of statistical modeling tools such as SPSS, SAS, DataIku, Statistica
Strong data profiling, cleaning, and mining capability and expert working knowledge of Python, R, Java and SQL
Ability to perform complex HR data analysis on large volumes of data and present findings to stakeholders.
Strong knowledge of design, development, and implementation experience utilizing data science technologies
Excellent analytical and problem solving skills
Experience designing recommendation engines (AI) for broad deployment
Strong interpersonal and communication skills (both written and verbal); ability to communicate with people in a wide variety of areas and at various levels from technical specialists to executives.
Contribution to research communities including publishing papers
What’s 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, flexible benefits and competitive compensation
Leaders who support your development through coaching and managing opportunities
Opportunities to work with the best in the field
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
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.
Address: 200 Bay St
Work Hours/Week: 37.5
Work Environment: Office
Employment Type: Permanent
Career Level: Senior Manager/Director
Pay Type: Salary + Variable Bonus
Required Travel (%): 0-25
People Manager: Yes
Application Deadline: 01/31/2020
Platform: Corporate HR / Recruitment / Learning
Req ID: 203156