Job Summary
The Expert Data Scientist is responsible for collaborating with cross-functional teams to identify and prioritize business problems that can be addressed through data science methodologies.
The roleutilizes 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
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
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
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 5 to 8 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
Extensive 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 (, 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 (*
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
Strong knowledge in Java programming language
Strong understanding of database systems and Structured Query Language (SQL), with the ability to write complex queries for data extraction and manipulation
Proficiency in programming languages such as Python
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