Data Scientist - Strategic Analytics
Telus
CA-ON-Toronto
10d ago

Join our team

The Network & Supply Transformation - Strategic Analytics team is unique as it combines a strong management consulting-style strategy practice with the expertise of data science.

This allows the team to tackle a broad range of problems that span marketing, procurement, supply chain, customer experience and technology.

The diverse and complementary blend of backgrounds : telecommunications and non- telecommunications, Master of Business Administration (MBA), Master of Science (MSc) and Doctor of Philosophy (PhD) is our strength, enabling us to learn from each other and better translate analytical insights into recommendations or opportunities for stakeholders.

Our team provides data intelligence and predictive models on which senior leaders make strategic decisions impacting growth, operational excellence and technology investments.

We unabashedly admit to being drawn to things we’re unfamiliar with or the unknown, learning about them, and leverage data science to introduce new concepts and challenge the status quo.

Our team takes pride in earning a reputation for being collaborative partners and knowing that the many transformational programs and initiatives can be traced back to our data science expertise.

Here’s the impact you’ll make and what we’ll accomplish together

As a Data Scientist, you’re in great company, working alongside some of the brightest and unpretentious data scientists and strategy consultants.

You’ll propose, guide and lead the way we tackle diverse problems and data sets to solve complex business problems. Your work will help transform and inform strategic decision making, improve capital deployment plans, and enhance revenue opportunities and customer experiences.

More specifically, you’ll customize the how to identify, extract and transform the data needed to perform analysis to inform capital optimization decisions, causal relationships between investment decisions and business outcomes, and enhance revenue opportunities.

Applying thought leadership, you’ll combine your expert knowledge of networks and business analytics in applying machine learning and artificial intelligence (AI) to drive actions and decisions.

Our partnership with the Vector Institute will ensure you can leverage leading research in AI. In close collaboration with teams across the company, you’ll seek out various data sources and identify new business opportunities while championing data driven decision making and the accelerated adoption of AI.

This role will shape transformational strategies and you’ll be presenting your findings, ideas and project updates the senior executive sponsor.

Here’s how

  • Leading, managing and prioritizing multiple, concurrent projects in an Agile environment from conception to delivery
  • Leading analytics projects to support the strategic product direction, sales and customer efforts
  • Supporting project teams to overcoming challenges by helping to remove roadblocks and developing options and solutions
  • Evaluating and providing input on potential business intelligence solutions
  • Communicating findings in simple terms, including in a visual format
  • Quantifying, capturing and articulating the value on insights and recommendations to business leaders and executives in order to influence how business challenges and opportunities are approached
  • Collaborating across business unit and industry subject matter experts to develop data driven solutions to solves business problems and challenges
  • Partner with other data science teams to develop best practices for adopting and expanding the use of machine learning and AI
  • Qualifications

    You’re the missing piece of the puzzle

  • Regarded as collaborative, creative, entrepreneurial and willing to experiment
  • Sought out for your application of data mining, predictive modeling, statistics and other analytical techniques to solve diverse business problems in a data rich environment
  • Noted for your understanding of data warehouse / Hadoop architecture, ETL processes and the software development lifecycle (Waterfall and Agile / Scrum)
  • Respected for your ability to develop experimental and analytic plans for data modeling processes
  • Known for building strong relationships across the organization and with vendors
  • Confident in engaging with and making presentation to executive leaders
  • Product development or business development experience
  • 5 or more years’ data analytics related experience in a matrix or consulting environment
  • Master or Doctor of Philosophy degree in Math, Statistics, Computer Science, Engineering, Economics or Master of Business Administration (MBA) degree with a strong foundation in Modeling, Statistics, Analytics, Engineering or Math
  • Experience with :

  • Data visualization using Tableau, Qlikview, or Domo
  • Hadoop data extraction using frameworks like Hive and from MPP platforms
  • Real time streaming analytics such as Spark
  • SQL, MySQL, Aginity, Oracle, R, Python, Java, SAS, SPSS
  • Deep Learning such as RNN, LSTM, etc
  • Apply
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