Specialist - Data Science

Job Summary

The Data Scientist Specialist is responsible for collaborating with functional and cross-functional teams to identify and prioritize business problems that can be addressed through data science methodologies. The role utilizes advanced analytics techniques to extract insights from complex datasets, develop scalable machine learning pipelines, and design end-to-end data science solutions aligned with business objectives. Additionally, the incumbent communicates findings effectively to both technical and non-technical stakeholders while continuously experimenting and iterating on models to ensure accuracy and robustness. Staying current with advancements in the field, the incumbent proactively seeks opportunities to apply emerging techniques for innovative problem-solving.

Main Responsibilities

Technical Development and Implementation 

·       Utilize advanced analytics techniques to extract insights from large, complex datasets and develop predictive models to support decision-making processes

·       Develop and maintain scalable machine learning pipelines using Python, PySpark, and other relevant tools and frameworks

·       Design and implement end-to-end data science solutions, from data collection and preprocessing to model development and deployment, ensuring alignment with business objectives and requirements

·       Take ownership of projects and provide end-to-end solutions, from initial problem definition to model deployment and monitoring

Collaboration and Communication 

·       Collaborate with cross-functional teams to identify and prioritize business problems that can be solved using data science methodologies

·       Communicate findings and insights effectively to technical and non-technical stakeholders through clear visualizations, presentations, and reports

·       Work closely with Data Engineers to optimize data infrastructure and ensure the availability and reliability of data for analysis, identifying opportunities for improvement and optimization

Experimentation and Continuous Improvement 

·       Conduct thorough experimentation and evaluation of machine learning models to ensure robustness, accuracy, and generalization, iterating as necessary to achieve desired outcomes

·       Demonstrate a hands-on approach to problem-solving, leveraging technical expertise and creativity to overcome challenges and deliver innovative solutions

·       Stay current with the latest advancements in data science and technology, and proactively identify opportunities to apply emerging techniques to solve business challenges, driving continuous improvement and innovation

Working Conditions

The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. 

Requirements

Experience

Data Science

·       Between 3-5 years of hands-on experience in data science, with a strong focus on machine learning, predictive analytics, and statistical modeling

·       Experience using libraries and frameworks such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow and PyTorch

·       Experience working with big data technologies, including PySpark, Databricks, and Apache Spark, for large-scale data processing and analysis

·       Experience with cloud platforms such as Azure, or Google Cloud Platform, and familiarity with services such as Databricks Workspace

·       Experience with version control systems (e.g., Git) and software development best practices*

*Any experience for these above would be considered as an asset

Education/Certification/Designation

·       Bachelor's Degree in Computer Science, Statistics, Mathematics, or related field

·       Master’s Degree or Doctors of Philosophy (Ph.D.)*

*Any designation for these above would be considered as an asset

Competencies 

·       Applies critical thinking

·       Knows the business and stays current on industry needs

·       Collaborates with others and shares information

·       Communicates with impact

·       Identifies needs and finds solutions to create value for all stakeholders

·       Leads by example for the safety and security of all

·       Identifies potential safety and security risks

Technical Skills/Knowledge

·       Proficiency in programming languages such as Python

·       Strong understanding of database systems and Structured Query Language (SQL), with the ability to write complex queries for data extraction and manipulation 

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