Data Scientist/ Sr. Data Scientist

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:

• Proficiency in

  Python

  and common libraries (

  Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow

  ).
• Strong Knowledge in

  Statistics

  and

  Probability

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

  OpenShift/Kubernetes, Azure ML

  is desirable.
• Proficiency in programming languages: Python (Dash) and database query languages

  SQL

  or

  KQL

  .
• 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.

Desired 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

  3 years

  of experience with

  SQL

  .
• 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!

** Data Analyst/ Data Engineer profiles are not suitable for this role. Looking for core experience with a Data Scientist role only.