Data Science Consultant

2 weeks ago

Calgary, Canada Sia Partners Full time

Sia Partners is a next-generation consulting firm dedicated to creating state-of-the-art narratives for transformation and innovation and deploying them at scale. Our goal is to deliver superior value and tangible results to our clients as they navigate the digital revolution and achieve transformations which generate a positive impact. Our global footprint and expertise in more than 40 sectors and services allow us to enhance our clients’ businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. 

Sia Partners is a leading global management consulting firm and the pioneer of Consulting 4.0. With a team of over 2,800 high-level consultants, we support our customers in their transformation projects.

Sia Partners Inc. has 5 offices in Canada. Since its opening, this office has experienced strong growth, underpinned by its ability to build lasting relationships with customers and find innovative ways to deliver tangible results. 

Sia Partners is present in 21 countries, with North America the second largest market. True to its innovative approach, Sia Partners explores the possibilities offered by Artificial Intelligence, investing in data science and artificial intelligence.

Job Description

Sia Partners is looking to open a Data Science business unit in Western Canada We are looking for talented Senior Data Scientists to support and help us grow our activities within the Data Science Business Unit.

You will be working alongside our Data Science consultants in our other offices and our clients on Data Science topics, including data acquisition and exploration, creating relevant data models and presenting results to stakeholders. 

You will also contribute to internal Data Science projects hosted on Heka, our internal accelerator for Data Science projects. As part of the global Data Science team, you will contribute to the development of various solutions designed to address our clients’ needs. 

In synergy with our various departments and sectors, you will be responsible for work and assignments requiring the implementation of complex models to support our customers in their issues:

  • Big Data: algorithmic knowledge for processing large volumes of unstructured data.

  •  Machine learning and statistics: development of explanatory and predictive decision-making models (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnostics);

  • Operational research: assistance in the design and implementation of constrained optimization solutions and simulation models;

Key Responsibilities 

  • Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more. 

  • Propose solutions and strategies to business challenges. 

  • Collaborate with engineering and product development teams. 

  • Broad range of partners equates to a broad range of projects and deliverables, including ML Models, algorithms, datasets, measurements, services, tools and process. 

  • Collaborate with compliance teams to ensure data models and algorithms meet regulatory requirements and best practices related to financial crimes. 

  • Partner with our client’s leadership teams, engineers, program managers and data analysts to understand data needs. 

  • Identify, acquire, process, and explore relevant data sources. 

  • Apply ML methodologies to optimize processes and to develop innovative solutions for complex business problems.

  • Implement ML models to automate tasks and improve efficiency across various business functions.

  • Evaluate the performance of ML models and iterate on them to achieve optimal results.

  • Analyze large amounts of structured and unstructured information to discover trends and patterns. 

  • Use your data analytics and science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms. 

  • Integrate and apply knowledge of sanction screening and transaction monitoring platforms in data analytics to improve the detection and prevention of financial crimes. 

  • Ensure alignment of data science activities with the compliance standards, particularly focusing on financial crimes, sanctions, and other regulatory requirements. 

Qualifications

  • 3+ years’ experience as a Data Scientist or Data Analyst 

  • Experience with building models, machine-learning, NLP 

  • You are proficient in R programming (or equivalent: SAS, Matlab, etc.) and have a solid grounding in scripting languages (Python, Perl, JS, bash) or compiled languages (C++, Java) and/or experience in UNIX/LINUX environments.

  • Understanding of Legal and Compliance functional areas and previous experience in similar topics

  • 3+ years’ experience with data visualization tools (e.g. Tableau, PowerBi, R Shiny) 

  • Problem-solving aptitude and business acumen 

  • Excellent communication and presentation skills 

  • BSc/BA or Master’s degree in Data Science, Computer Science, Engineering 

  • Proven experience in working with compliance data, particularly in the areas of financial crimes, sanctions screening, and transaction monitoring. 

  • Awareness and understanding of regulatory requirements and best practices in the field of Compliance and Financial crimes.

Additional Information

For more information on our Data Science practice, visit our showroom:

Would you like to join a motivating professional environment where you will share the values of results-oriented culture, quality and customer satisfaction? Then join us

Sia Partners is an equal opportunity employer. All aspects of employment, such as recruitment, promotion, remuneration or sanctions, are based solely on the performance, skills and behavior of employees or the needs of the company.

Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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