sr data scientist

• Delivery of Key Projects:
o Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints.
o Collaboration:
o Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics
capabilities.
• Solution Development:
o 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:
o Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations,
monitoring, and maintenance.• Dashboard Design:
o Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting.
• Technological Expertise:
o Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently.
• ETL Pipeline Building:
o Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management.
• Data Procurement and Management:
o Independently procure and process data, ensuring seamless integration within the company's overall data management strategy.
• Technology Exploration:
o Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the
company.
• Technical Skills:
o Proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow).
o Strong Knowledge in Statistics and Probability.
o Set up cloud alerts, monitors, dashboards, and logging systems, troubleshoot data platform infrastructure as needed.
o Experience in OpenShift/Kubernetes, Azure ML is desirable.
o Proficiency in programming languages: Python (Dash) and database query languages SQL or KQL.
o Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and
regression.
o Knowledge of DevOps/MLOps.
o Exceptional analytical and problem-solving skills.
Qualifications/Requirements:
• 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!

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