Sr. Data Scientist

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.

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, 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!
 Mail me at:- hidden_email Skills: python,sql,machine learning,dash,data science,openshift,kubernetes,azure,pandas,tensorflow,statistics,plotly,flask,