Data Scientist

Nexus Systems Group Inc.; Toronto; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A government service provider in Toronto is seeking a Senior Data Analytical Specialist/Scientist for a 12-month contract. The role requires proficiency in SQL, knowledge of data mining, machine learning, and strong analytical skills to address data quality issues. Ideal candidates will have experience with data visualization tools like PowerBI and programming languages such as R and Python. This position involves direct communication and collaboration across IT and business teams, primarily 3 days onsite.

Qualifications

• Proficiency in SQL to manipulate and retrieve data from various databases.
• Experience with data mining, statistical analysis, and algorithm development.
• Ability to identify data quality issues in source systems.

Responsibilities

• Analyze high-volume data from various structured and unstructured sources.
• Prepare technical reports on data issues and complex analyses.
• Work collaboratively with multiple teams to achieve common objectives.

Skills

SQL proficiency

Data analysis

Machine learning

Deep learning

Natural language processing

Tools

R

Python

PowerBI

R Shiny

Job description

Data Analytical Specialist/Scientist – Senior

Ministry – Government Client

Clearance Required

12 month contract

Toronto – 3 days onsite

Must Haves

• Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.
• Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplines.
• Ability to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data).
• Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology.

Nice to Have

• Experience with coding skills in various data languages (e.g., R, Python) and proficiency with various modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.).

Technical Knowledge/Skills (50%)

• Demonstrate knowledge of information management, data management, financial and business analysis, database architecture, and data-related concepts such as data preparation, data integration, data anonymization, data extract/transform/load (ETL), data warehousing, data lineage, metadata management, master data management, and data governance.
• Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplines.
• Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.
• Experience with coding skills in various data languages (e.g., R, Python) and proficiency with various modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.).
• Experience with data modelling methods and tools (e.g., PowerDesigner) including a working knowledge of metadata structures, repository functions, and data dictionaries.
• Understand legislative regulations, policies and guidelines, ministry programs/services and policy development processes, data standards (e.g., GO-ITS) and privacy legislation (e.g., FIPPA) related to access and release of personal information and data.

Research, Analytical and Problem‑Solving Skills (40%)

• Ability to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data).
• Manipulate and analyze complex, high-volume data from structured, unstructured and semi-structured sources, and multi-dimensional datasets with a variety of tools.
• Identify and assess information, data needs and requirements to support business plans/practices and business goals/objectives.
• Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology.

General Skills (10%)

• Communication skills to prepare technical and non-technical status reports, planning documents, and operational policies, and provide explanations on data issues and complex data analyses.
• Writing skills to prepare technical specifications, source to target mapping document and data process flow diagrams.
• Demonstrate experience working in a multi-team environment spanning across business and IT stakeholders in the pursuit of common missions, vision, values, and mutual goals.