Data Analysis Specialist for Science

3 days ago

Toronto ON, Canada Celebal Technologies Full time

We are seeking a highly skilled and experienced Senior Data Scientist with a strong background in technical presales to join our team. The ideal candidate will combine advanced data science expertise with exceptional communication and client engagement skills. This role requires a unique blend of technical proficiency, strategic thinking, and the ability to effectively present data-driven solutions to both technical and non-technical audiences.

About the Role - Key Responsibilities

Architect and Design Solutions
Design and develop robust data science and machine learning architectures to solve complex business problems.
Ensure scalability, reliability, and efficiency of data science pipelines.
Collaborate with stakeholders to understand requirements and translate them into technical designs.

Lead Data Science Initiatives
Drive end-to-end implementation of machine learning models, from data ingestion to deployment and monitoring.
Define and establish best practices for model development, validation, and deployment.
Lead and mentor a team of data scientists and engineers.

Data Management and Engineering
Oversee the design and management of data pipelines and ETL processes.
Work closely with data engineering teams to ensure proper data integration and preparation for analytics.
Advocate for and implement modern data architectures (e.g., data lakes, data warehouses).

Cloud and Infrastructure Expertise
Leverage cloud platforms (AWS, Azure, or Google Cloud) to design and deploy machine learning solutions.
Implement MLOps practices for seamless model deployment and lifecycle management.

Stakeholder Collaboration
Act as a technical advisor for stakeholders to align data science strategies with business goals.
Present insights and recommendations to non-technical audiences, ensuring clarity and actionable outcomes.

Innovation and Continuous Improvement
Stay updated with the latest trends and advancements in AI, ML, and data science.
Experiment with and implement innovative approaches to enhance the organization's data capabilities.

Qualifications

Education
~ Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.


Experience
Minimum 6+ years in data science, machine learning, or related roles, with at least 2 years in an architect or leadership position.
Proven experience in designing and deploying large-scale data science solutions.

Technical Skills
Proficiency in programming languages such as Python, R, or Scala.
Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
Strong understanding of cloud platforms (AWS, Azure, or Google Cloud) and their data services.
Solid knowledge of big data tools (Hadoop, Spark, Hive) and database systems (SQL, NoSQL).
Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
Knowledge of visualization tools (Tableau, Power BI, Matplotlib).

Soft Skills
Strong communication and interpersonal skills.
Ability to manage multiple projects and deadlines effectively.
Analytical mindset with a focus on delivering business value.

Preferred Skills

Experience with Natural Language Processing (NLP) or Computer Vision (CV).
Knowledge of edge computing and IoT integrations.
Familiarity with data governance and compliance standards (GDPR, HIPAA).

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