Ample Insight Logo

Ample Insight

Data Scientist

Reposted 5 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Mid level
In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Mid level
Design, prototype, and productionize machine learning models from structured or unstructured data, build data products for business insights, and apply statistics and ML theory to solve client problems.
The summary above was generated by AI
Company Description

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities. 

Job Description

We are looking for Data Scientists who are passionate about Machine Learning, and have deep knowledge in Statistics and Computer Science. You enjoy doing data science projects with structured and/or unstructured data and are motivated to productize scalable machine learning models. We will also rely on you to build data products to extract valuable business insights. Critical thinking and problem-solving skills are essential for this role.

Qualifications

  • BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
  • Experienced implementing and scaling machine learning models in production environments 
  • Strong understanding of machine learning theory
  • Hands on experience with Statistics
  • Capable of quickly implementing prototypes of cutting-edge research papers
  • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
  • Analytical mind and strong business acumen

If you're passionate about data science and is hungry to learn, please apply!

 

Additional Information

We have competitive compensation.

Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.

HQ

Ample Insight Toronto, Ontario, CAN Office

Toronto, Ontario, Canada

Similar Jobs

3 Days Ago
Remote or Hybrid
CA
Senior level
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead pricing modeling and experimentation to optimize margin, conversion, and retention. Build elasticity and willingness-to-pay models, design A/B and bandit experiments, develop pricing automation (DealBot) and monitoring for AI-driven rate recommendations, own ETL/analysis/visualization, and partner with Finance, Risk, Product, and GTM teams to operationalize pricing intelligence.
Top Skills: Agentic AiLlmsLookerNumpyPandasPythonRRag SystemsSnowflakeSQLTableau
3 Days Ago
In-Office or Remote
CA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead pricing modeling and experimentation to optimize margin, conversion, and retention. Build elasticity and willingness-to-pay models, run causal and bandit experiments, decompose merchant economics, and develop agentic deal tooling. Own end-to-end data pipelines, ETL, monitoring, and visualization. Evaluate AI systems for accuracy, bias, and drift, and partner with cross-functional teams to translate results into pricing strategy and automation.
Top Skills: Agentic AiLlmsLookerNumpyPandasPythonRRagSnowflakeSQLTableau
5 Days Ago
Remote or Hybrid
CA
Senior level
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead analytics and measurement for a Sales subdomain: monitor KPIs, investigate performance issues, design experiments, build data foundations and self-serve dashboards, use agentic AI to automate workflows, and communicate results to senior sales, finance, and operations stakeholders.
Top Skills: A/B TestingAgentic AiAirflowCausal TestingDatabricksDbtLookerMatched-Market TestingNumpyOmniPandasPythonSalesforceSnowflakeSQL

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account