Data Scientist - Vancouver, Canada - E-Comm 9-1-1

E-Comm 9-1-1

Verified Company

Vancouver, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

WHO WE ARE
At E-Comm 9-1-1, we are committed to building a diverse and inclusive workforce that represents the many communities that we proudly serve

OUR VALUES
RESPECT | ACCOUNTABILITY | INTEGRITY | SERVICE | COLLABORATION

We are seeking an experienced
Senior Data Scientist to join our growing Data & Analytics team.

As a Senior Data Scientist, you will play a pivotal role in shaping our data strategy and driving actionable insights.

For this newly created role, we are looking for someone who is passionate about leveraging data to solve complex problems and drive business success.

Reporting to the Executive Director, Data & Analytics, you will be responsible for using predictive modelling, statistics, machine learning (ML), data mining, and other data analysis techniques to find patterns and trends and uncover insights to help with predicting staffing and operational needs, future outcomes, mitigating risks and improving operational and strategic decision-making.

In this role, you will analyze structured and unstructured data, model complex problems, and identify opportunities for process and product optimization by using scientific methodologies, statistical, algorithmic, mining, and visual techniques.

This role assists in developing ML predictive and prescriptive analytics models through the innovative understanding and use of large data sets and the verification of effectiveness to improve business processes and outcomes.

Key responsibilities in this role include:

Serving as a functional lead for Data Science on complex projects with diverse scope, including primary contact for internal liaison between Data and Analytics team and project teams, operations, and other functional groups
Understanding key business priorities and challenges to design the right actionable data science and analytics solution to address. Communicating analytic solutions to management and sharing AI product status throughout the various stages of the product lifecycle
Designing, builds and implements data science and machine learning models to identify patterns, trends, and opportunities that can make predictions or reduce workload and increase system efficiency to make a significant impact across various domains within E-Comm. Ensure data compliance and security needs are met in system construction
Developing improvements to operational workflows and support decision making by researching, developing, and evaluating models and algorithms that leverages tools such as process modeling, operations research, simulation, and optimization and applied machine learning
Identifying, cleaning, and integrating large sets of structured and unstructured datasets from disparate sources for use in ML models and products. Enhancing data collection procedures to include information that is relevant for building advanced ML models
Peerreviewing code and mentoring and supporting junior team members
Building strong partnerships with other teams internally and externally to solve problems, and ensure we deliver a cohesive customer experience
Making recommendations to management regarding strategic actions to maintain the data pipelines, analytic architectures, and life cycle, to avoid potential negative consequences and system failures, and to increase the positive impacts of data analytics system

WHAT YOU WILL BRING:

A level of education, training and experience equivalent to a Master's Degree or PhD in Data science, Computer Science, Mathematics, Operations Research or other quantitative discipline
A minimum of five (5) years' experience in related dataspecific roles
Display comprehensive understanding of, and skills using, statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, network analysis, simulation, scenario analysis, and clustering analysis
Excellent understanding of machine learning techniques and algorithms, such as kNN, Naive Bayes, SVM, Decision Forests, etc
Demonstrated ability to perform analytical functions and transform database structures including creating datasets and writing computer code to execute complex queries using statistical computer languages such as Python, R, and SQL
Demonstrated proficiency working with large volumes of data across multiple servers using distributed data/computing tools such as Hadoop, Spark, MySQL, AWS, etc
Demonstrated proficiency working with both relational (SQL) and nonrelational databases (NoSQL)
Demonstrated understanding of data privacy, security and related tools such as anonymization and encryption
Demonstrated skills in using data visualization tools (such as Power BI, Tableau, Matplotlib, D3, ggplot) and to visually present complex data to stakeholders for consideration
Strong analytical, critical thinking, and evaluation skills to discern and help solve the important problems facing E-Comm Operations, to identify new ways to leverage our data, and to direct efforts in the r