Data Science Consultant - #438028
ProCogia
Date: 2 weeks ago
City: Vancouver, BC
Contract type: Full time

About ProCogia:
We're a diverse, close-knit team with a common pursuit of providing top-class, end-to-end data solutions for our clients. In return for your talent and expertise, you will be rewarded with a competitive salary, generous benefits, alongwith ample opportunity for personal development. 'Growth mindset' is something we seek in all our new hires and has helped drive much of our recent growth across North America. Our distinct approach is to push the limits and value derived from data. Working within ProCogia's thriving environment will allow you to unleash your full career potential.
The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.
Job Description:
We are seeking an experienced data scientist with a proven track record of over five years in industrial or academic environments. The ideal candidate will employ machine learning techniques, statistics, time-series modeling, predictive analysis, and data visualization to extract insights and drive business outcomes. The role involves handling structured and unstructured datasets, and employing a range of modeling approaches to solve complex business problems.
Key Responsibilities:
Machine Learning:
We're a diverse, close-knit team with a common pursuit of providing top-class, end-to-end data solutions for our clients. In return for your talent and expertise, you will be rewarded with a competitive salary, generous benefits, alongwith ample opportunity for personal development. 'Growth mindset' is something we seek in all our new hires and has helped drive much of our recent growth across North America. Our distinct approach is to push the limits and value derived from data. Working within ProCogia's thriving environment will allow you to unleash your full career potential.
The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.
Job Description:
We are seeking an experienced data scientist with a proven track record of over five years in industrial or academic environments. The ideal candidate will employ machine learning techniques, statistics, time-series modeling, predictive analysis, and data visualization to extract insights and drive business outcomes. The role involves handling structured and unstructured datasets, and employing a range of modeling approaches to solve complex business problems.
Key Responsibilities:
Machine Learning:
- Use ML algorithms to analyze customer data, integrating information from multiple sources to identify patterns and trends.
- Use historical data and predictive models to anticipate events or to predict their severity.
- Develop cutting-edge algorithms and innovative LLM tools for advanced data analysis and pattern recognition.
- Guide diverse teams through the entire model lifecycle, showcasing expertise in model risk management.
- Innovate by designing and implementing custom tools and algorithms to enhance data processing, analysis, and visualization for informed decision-making.
- Develop and deploy advanced solutions for sentiment analysis using Large Language Models (LLMs) to understand feedback trends and customer preferences comprehensively.
- Conduct root cause analysis to identify underlying reasons for client issues.
- Distinguish between chronic issues versus outliers and network-related issues versus other concerns.
- Demonstrable experience in, statistical modeling, experimental design, and generating comprehensive reports.
- Adept at Python, although experience with R/C/C++ will be considered.
- Technical expertise in handling extensive structured and unstructured datasets and employing sophisticated modeling approaches.
- Able to work with AWS/Azure/GCP/Databricks.
- Knowledge and experience of various machine learning libraries and Large Language Models (LLMs).
- Innovative and able to implement custom tools and algorithms to enhance data processing and analysis.
- Demonstrable ability to tackle critical business challenges using advanced technologies and innovative methodologies.
- Experience in developing novel machine learning architectures.
- Demonstrated success in developing and deploying LLM-based solutions.
- Bachelor's or master's degree in any of the following: statistics, data science, computer science, or another mathematically intensive field.
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