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Python Analytics Jobs in Ontario (NOW HIRING)

Experience with Python, R, mongo, Hadoop or SQL SPSS, Stata, SAS, R, or similar statistical package ... n \n 1. Predictive Analytics & Modeling Expertise - 25% \n \n * Depth of experience with ...

Proficiency in Python for data exploration and analysis. * Hands-on experience with Agile Software Development methodologies and tools like Jira. * Working experience in cloud-based data platforms ...

Robinhood's Analytics Engineering team, part of the Data Science organization, builds the data ... You have strong experience with SQL, Python, and Apache Spark for data processing * You have ...

Analytics Engineer

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

To learn more, visit clutch.ca About the role Clutch is seeking a Data Analytics / Analytics ... Familiarity with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines is a ...

Analytics Engineer

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

To learn more, visit clutch.ca About the role Clutch is seeking a Data Analytics / Analytics ... Familiarity with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines is a ...

Experience of one of the common data analytics tools (SAS, SQL, Python, R) * Experience with Google Cloud Platform or other cloud platforms for data engineering and analytics would beadvantageous.

New

Proficiency in Python for data exploration and analysis. * Hands-on experience with Agile Software Development methodologies and tools like Jira. * Working experience in cloud-based data platforms ...

Experience using analytics and data tools such as SQL, Python (or similar), and business intelligence platforms (e.g., Power BI or equivalent) * Experience working with multiple data sources and ...

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Python Analytics information

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are popular job titles related to Python Analytics jobs in Ontario? For Python Analytics jobs in Ontario, the most frequently searched job titles are:
Google DialogFlow Engineer (Python)

Google DialogFlow Engineer (Python)

Miratech

Cambridge, ON • On-site, Remote

Full-time

Medical

Posted 17 days ago


Job description

Company Description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across  5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

Join the Bot Development team to work on the implementation of a new bot solution across various cloud platforms. Your main responsibility will be to develop a bot using Google Cloud Platform technologies, focusing on integrating the LLM (playbook) feature in Dialogflow CX, in addition to standard Dialogflow CX functionalities.

Responsibilities:

  • Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI,  and Dialogflow CX.
  • Craft clean, efficient, and maintainable code adhering to industry best practices and standards.
  • Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem.
  • Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations.
  • Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs.
  • Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions.
  • Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement.
  • Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development.
Qualifications
  • 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework.
  • Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI.
  • Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities.
  • Solid understanding of Google as a Software-as-a-Service platform.
  • Proven troubleshooting and analytical skills in complex, distributed environments.
  • Familiarity with SQL and experience working with relational databases.
  • Experience integrating web services into applications.
  • Proficient in Agile and Scrum development methodologies.
  • Bachelor’s degree in a technology-related field or equivalent experience.

Nice to have:

  • Experience with programming languages such as JavaScript, Python, or Node.js.
  • Familiarity with automated testing practices.

We offer:

  • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. 
  • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. 
  • Work From Anywhere Culture: make the most of the flexibility that comes with remote work. 
  • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. 
  • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. 
  • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. 
  • Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. 

*Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.