Data Science Specialist

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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