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Data Science Manager (W/M)

$84k - $175k per year

Deloitte

Job Type: Permanent
At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
As a Data Science Manager, you would take a lead in delivering advisory services to high growth organizations, managing, and supporting a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You would also have a role in pursuing new data science opportunities, specifically in the Energy and Resources sector.
As a key part of this process, you will select the most appropriate data science models, ensure quality delivery of statistical models, computations, and data ETL by the data science team. You and your team will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will be the principal link between the data science team and the client and will regularly communicate insights on client projects and provide support in project planning and data collection. You will advise clients on generative AI usage and use it to deliver projects where appropriate. You will both lead and support pitches to potential customers and bids on future projects.
Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-one experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI)transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.
You are someone with these required skills, experience and qualifications

  • Significant data analysis experience using Python
  • 5+ years relevant work experience with applying analytics or working with data
  • Leadership or management experience, including project management, in an analytical or data driven field
  • Experience with optimization modelling, machine learning, forecasting, natural language processing, and generative AI tools
  • Experience with Cloud ML (AWS, GCP, Azure), or similar tools is an asset
  • Strong experience with statistical analytical techniques, data mining, and predictive models
  • Database and programming experience with data manipulation and integration skills using (one or more of) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools

It would be great for you to have some of these nice to haves as well:
  • Ability to understand business significance of the data, work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
  • Professional services, consulting, or advisory experience is an asset
  • Advanced degree (MSc, equivalent or higher) in Statistics, Mathematics, Physics, Computer Science, or related field is required.

The salary range for this position is $84,000 - $175,000, and individuals may be eligible to participate in our bonus program. Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure
We provide flexible working options to support you and how you can contribute.
We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan , Reconciliation Action Plan and the BlackNorth Initiative .

We encourage you to connect with us at View email address on careers.deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or View email address on careers.deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.
We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

Vacancy posted more than 2 months ago
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