Sr Data Scientist

Insight Global; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Insight Global is seeking a Senior Data Scientist to help build out a data science capability and turn enterprise data into proactive, actionable business insights. This role is highly autonomous and requires owning problems from data discovery through modeling and communicating results to senior stakeholders.

You will apply hands-on data science with business acumen, identify data assets, develop predictive solutions, and translate findings into concrete recommendations for commercial teams.

Qualifications

• 7+ years of experience in data science, applied machine learning, predictive analytics, or a related field.
• Strong hands‑on experience developing predictive models, forecasting solutions, and trend‑analysis capabilities using real‑world business data.
• Advanced Python and SQL skills.
• Strong knowledge of statistical modeling, machine learning, feature engineering, model validation, and experimentation techniques.
• Experience independently exploring complex datasets and determining the data sources and features needed to solve ambiguous business problems.
• Demonstrated ability to translate analytical findings into business recommendations and communicate effectively with senior stakeholders.
• Experience partnering across data engineering, analytics/BI, and business teams.
• Ability to operate independently and take ownership in an evolving environment where the data science function is still being built.
• Experience with Google Cloud Platform, particularly BigQuery.
• Familiarity with Looker/LookML or modern semantic‑layer and BI environments.
• Experience with consumer products, retail, CPG, merchandising, demand forecasting, pricing, or product analytics.
• Experience working with POS, sales, product, customer, or market data.
• Exposure to production ML practices, model monitoring, data governance, and responsible AI.
• Experience helping establish or scale a data science capability within an organization.

Skills

Python

SQL

statistical modeling

machine learning

feature engineering

model validation

experimentation techniques

business communication

data exploration

Google Cloud Platform

BigQuery

Looker/LookML

Tools

BigQuery

Looker/LookML

Job description

Job Description

Insight Global is looking for a Senior Data Scientist to help build out a data science capability and turn enterprise data into proactive, actionable business insights. This will be a highly autonomous role for someone who can identify the right data assets, develop predictive and trend-based solutions, and translate findings into meaningful recommendations for commercial stakeholders. The ideal candidate combines strong hands‑on data science skills with business acumen and is comfortable owning initiatives from problem definition and data discovery through modeling, validation, and communication of results.

Skills and Requirements

7+ years of experience in data science, applied machine learning, predictive analytics, or a related field.Strong hands‑on experience developing predictive models, forecasting solutions, and trend‑analysis capabilities using real‑world business data.Advanced Python and SQL skills.Strong knowledge of statistical modeling, machine learning, feature engineering, model validation, and experimentation techniques.Experience independently exploring complex datasets and determining the data sources and features needed to solve ambiguous business problems.Demonstrated ability to translate analytical findings into business recommendations and communicate effectively with senior stakeholders.Experience partnering across data engineering, analytics/BI, and business teams.Ability to operate independently and take ownership in an evolving environment where the data science function is still being built.Experience with Google Cloud Platform, particularly BigQuery.Familiarity with Looker/LookML or modern semantic‑layer and BI environments.Experience with consumer products, retail, CPG, merchandising, demand forecasting, pricing, or product analytics.Experience working with POS, sales, product, customer, or market data.Exposure to production ML practices, model monitoring, data governance, and responsible AI.Experience helping establish or scale a data science capability within an organization.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].