Job
Description
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.
