Sr. Data Scientist - Computer Vision

Role & responsibilities

• Delivery of Key Projects:

Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints.

• Collaboration:

Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities.

• Solution Development:

Develop efficient solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics.

• End-to-End Pipeline Management:

Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance.

• Dashboard Design:

Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting.

• Technological Expertise:

Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently.

• ETL Pipeline Building:

Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management.

• Data Procurement and Management:

Independently procure and process data, ensuring seamless integration within the company's overall data management strategy.

• Technology Exploration:

Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company.

• Technical Skills:

Python

- Strong Knowledge in Statistics and Probability.

Computer Vision

- Set up cloud alerts, monitors, dashboards, and logging systems, and troubleshoot data platform infrastructure as needed.

Azure ML

SQL

- Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and regression.

- Knowledge of DevOps/MLOps.

- Exceptional analytical and problem-solving skills.

Preferred candidate profile

• Bachelor's

  or

  Master's

  degree in

  Computer Science

  or a related technical field, or equivalent experience.
• Total of

  6 to 10 years

  of professional experience.
• Minimum

  4 years

  of experience in

  data science/machine learning

  .
• Minimum

  2 years

  of experience with

  Computer Vision

  .
• Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with

  Azure

  being preferred.
• If the above has triggered your interest, we are looking forward to receiving your application.