Roles and Responsibilities:
- 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.
EndtoEnd 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 companys overall data management strategy.
Technology Exploration:
- Continuously monitor advancements in artificial intelligence technology and identify applications for problemsolving within the company.
Technical Skills:
- Proficiency in Python and common libraries (Dash Pandas ScikitLearn Pydantic TensorFlow).
- Strong Knowledge in Statistics and Probability.
- Set up cloud alerts monitors dashboards and logging systems 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 handson experience in time series modeling predictive modeling distributions and regression.
- Knowledge of DevOps/MLOps.
- Exceptional analytical and problemsolving skills.
Desired Candidate Profile:
- Bachelors or Masters 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 handson 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!
**** Mail me at:
python,sql,machine learning,dash,data science,openshift,kubernetes,azure,pandas,tensorflow,statistics,plotly,flask