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Senior Associate - Data Analytics & AI

EDB

Full-time
Canada
analytics
python
big data
sql
aws
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Consulting jobs

We are seeking a talented and driven Senior Associate, Data Analytics & AI to join our team. In this role, you will be instrumental in advancing our data science capabilities, focusing on building and deploying AI models for predictive analytics and commercial enablement tied to Mission Control. You will leverage your expertise in data science and machine learning to drive data-driven insights and enablement for strategic, tactical, and operational use cases. You will develop and implement scalable AI and ML solutions, collaborating closely with cross-functional teams to ensure alignment with organizational goals. Your work will significantly contribute to the optimization of our performance and strategic decision-making processes.

What your impact will be…

  • AI/ML Model Development: Lead the design, development, and deployment of AI models to support predictive analytics and enablement for commercial use cases.

  • Data Analytics Workflows: Design and implement end-to-end data analytics pipelines using tools like Apache Airflow or similar, including data extraction, transformation, and loading (ETL) processes. Develop interactive dashboards and reports using Tableau or Power BI to visualize key performance indicators and deliver actionable insights to stakeholders.

  • Collaborative Requirements Gathering: Work with cross-functional teams to gather requirements, define AI and BI solutions, and ensure seamless execution and delivery.

  • ETL Processes: Design and implement ETL processes to align with our data architecture, ensuring data quality and consistency.

  • Strategic Alignment: Ensure alignment of data analytics initiatives with strategic objectives and priorities, including data architecture and governance.

  • Stakeholder Communication: Facilitate effective communication between technical and non-technical stakeholders to ensure successful project execution.

  • Innovation and Adoption: Advocate for the adoption of advanced AI methodologies across internal teams, showcasing their impact through measurable success metrics.

  • Culture of Innovation: Participate in initiatives to foster a culture of innovation, demonstrating the role of AI in improving scalability and decision-making.

What you will bring…

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

  • 3-5 years of experience in data science, ML, or a related field.

  • Strong proficiency in programming languages such as Python or R, and experience with predictive analytics and AI/ML frameworks (e.g., TensorFlow, PyTorch).

  • Experience with data visualization tools (e.g., Tableau, Power BI) and BI solutions.

  • Strong SQL skills and familiarity with ETL processes.

  • Excellent problem-solving abilities and a proactive mindset.

  • Strong organizational and project management capabilities.

  • Ability to work collaboratively and independently within a team environment.

  • Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.

 

About the job

Full-time
Canada
5 Applicants
Posted 1 week ago
analytics
python
big data
sql
aws
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Senior Associate - Data Analytics & AI

EDB
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Consulting jobs

We are seeking a talented and driven Senior Associate, Data Analytics & AI to join our team. In this role, you will be instrumental in advancing our data science capabilities, focusing on building and deploying AI models for predictive analytics and commercial enablement tied to Mission Control. You will leverage your expertise in data science and machine learning to drive data-driven insights and enablement for strategic, tactical, and operational use cases. You will develop and implement scalable AI and ML solutions, collaborating closely with cross-functional teams to ensure alignment with organizational goals. Your work will significantly contribute to the optimization of our performance and strategic decision-making processes.

What your impact will be…

  • AI/ML Model Development: Lead the design, development, and deployment of AI models to support predictive analytics and enablement for commercial use cases.

  • Data Analytics Workflows: Design and implement end-to-end data analytics pipelines using tools like Apache Airflow or similar, including data extraction, transformation, and loading (ETL) processes. Develop interactive dashboards and reports using Tableau or Power BI to visualize key performance indicators and deliver actionable insights to stakeholders.

  • Collaborative Requirements Gathering: Work with cross-functional teams to gather requirements, define AI and BI solutions, and ensure seamless execution and delivery.

  • ETL Processes: Design and implement ETL processes to align with our data architecture, ensuring data quality and consistency.

  • Strategic Alignment: Ensure alignment of data analytics initiatives with strategic objectives and priorities, including data architecture and governance.

  • Stakeholder Communication: Facilitate effective communication between technical and non-technical stakeholders to ensure successful project execution.

  • Innovation and Adoption: Advocate for the adoption of advanced AI methodologies across internal teams, showcasing their impact through measurable success metrics.

  • Culture of Innovation: Participate in initiatives to foster a culture of innovation, demonstrating the role of AI in improving scalability and decision-making.

What you will bring…

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

  • 3-5 years of experience in data science, ML, or a related field.

  • Strong proficiency in programming languages such as Python or R, and experience with predictive analytics and AI/ML frameworks (e.g., TensorFlow, PyTorch).

  • Experience with data visualization tools (e.g., Tableau, Power BI) and BI solutions.

  • Strong SQL skills and familiarity with ETL processes.

  • Excellent problem-solving abilities and a proactive mindset.

  • Strong organizational and project management capabilities.

  • Ability to work collaboratively and independently within a team environment.

  • Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.

 

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