Junior Data Analytical Specialist / Scientist

CYNET SYSTEMS; Toronto; On-site; CAD 60,000 - 100,000; Full time

Job summary

An innovative organization is on the lookout for a talented Data Scientist to spearhead analytics initiatives and drive evidence-based decision-making. This dynamic role involves collaborating with various stakeholders, developing statistical models, and managing end-to-end analytics projects. You will have the opportunity to work with complex datasets and transform insights into actionable information, all while utilizing cutting-edge tools like R and Power BI. If you're passionate about data and eager to make a significant impact, this is the perfect opportunity for you to shine in a forward-thinking environment.

Qualifications

• Experience with statistical analysis and machine learning algorithms.
• Proficient in data manipulation and analysis using R and SQL.
• Strong communication skills for interacting with technical and non-technical audiences.

Responsibilities

• Lead analytics initiatives and develop models for data insights.
• Collaborate with stakeholders to assess and improve data analytics capabilities.
• Manage analytics projects and deliver actionable insights.

Skills

Analytical Skills

Problem-Solving

Machine Learning

Statistical Analysis

Data Mining

Natural Language Processing

Data Presentation

Communication Skills

Education

Bachelor's Degree in Data Science or related field

Master's Degree in Data Science or related field

Tools

R

Power BI

Tableau

Python

SQL

Microsoft Excel

Job description

Job Description: Data Scientist

We are seeking a skilled Data Scientist to lead analytics initiatives and support evidence-based decision-making within our organization. The role involves developing analytics, working with stakeholders, and creating models to extract insights from complex data sets.

1. Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights.
2. Collaborate with client groups to assess current data analytics capabilities, gather future requirements, and identify opportunities for improvement.
3. Manage analytics projects from end to end, including reporting and data set delivery.
4. Develop statistical models and machine learning algorithms to analyze business scenarios and derive valid inferences.
5. Participate in documentation, development, testing, and end-user training.
6. Work with experts and stakeholders to understand complex issues and develop Business Intelligence solutions.
7. Design methods for data capture, transformation, and processing to support modeling.
8. Build accurate, understandable, and unbiased data models.
9. Communicate complex analyses clearly, using visuals and summaries.
10. Interpret data insights and advise stakeholders on transforming analytics into actionable information.

General Skills

• Strong analytical, problem-solving, and decision-making skills, with excellent communication and interpersonal skills.
• Proven consulting and relationship management abilities, capable of eliciting requirements and guiding solutions.
• Ability to communicate effectively with both technical and non-technical audiences.
• Experience with statistical analysis, data mining, machine learning, natural language processing, and related disciplines.
• Skill in manipulating and analyzing large, complex datasets from various sources.
• Experience with data extraction, transformation, and loading for large data stores.
• Designing interfaces for meaningful data presentation.
• Broad understanding of data management, analysis, database architecture, and visualization.
• Proficiency in query languages and programming or scripting languages.
• Strong mathematical and statistical skills.
• Awareness of emerging Business Intelligence trends.
• Experience with analytical software like R, PowerPivot, Matlab, SPSS, or SAS is an asset.
• Proficiency with desktop analysis software including Microsoft Excel, Access, VBA.

Junior Data Scientist Responsibilities

• Assess datasets from various sources, including land-use, child care, and education data.
• Identify and document dataset gaps and resolution steps.
• Develop reports and visualizations using tools like GIS, Tableau, PowerBI.
• Conduct historical and predictive analytics on relational datasets.
• Document findings and report to the team.
• Work effectively in an agile, iterative environment.

Skills and Tools

• Experience integrating R scripts into Microsoft Power BI.
• Experience with predictive analytics and building dimensional data cubes.

Additional Requirements

Tools and Techniques (50%)

• Expertise in MS analytical products, especially Excel and data validation.
• Experience with SQL databases, data standards, and data cleaning.
• Knowledge of dimensional data models and statistical modeling using R.
• Experience with visualization tools like R Shiny, SAS, Python, Esri/ArcGIS, PowerBI, Cognos.

Power BI and Analytics (25%)

• Experience developing BI resources and visualizing data.
• Ability to create interactive visuals and understand data models.

Communication Skills (20%)

• Ability to develop documentation on data standards and requirements.
• Strong consulting and relationship skills, effective with diverse audiences.

Government Experience (5%)

• Previous experience in the public sector at a similar organizational level.