Senior Data Science Specialist
Job Summary
We are seeking aSenior Data Science Specialistto transform raw data into actionable business this role you will leverage advanced math statistics and machine learning to predict trends extract meaningful patterns and provide strategic recommendations.
You will be responsible for the entire analytical lifecyclefrom understanding business requirements to designing scalable automated models that support data-driven decision-making across the organization.
What youll do
Analytical Strategy:Analyze complex datasets to determine the most effective methodologies to meet specific business needs and support executive decision-making.
Model Design & Implementation:Design implement and validate ML models hypotheses algorithms and experiments using predictive and prescriptive modeling techniques.
Advanced Analytics:Apply data mining math and statistical techniques to uncover deep-seated relationships and trends within large-scale datasets.
Data Engineering Optimization:Design efficient data loading augmentation and analysis techniques to ensure the accuracy and robustness of models specifically focusing on scalability and automation.
Research & Development:Stay at the forefront of the Data Science domain continuously identifying new tools and techniques to enhance analysis efficiency and model robustness.
Technical Ownership:Drive the end-to-end implementation of data-intensive applications and pipelines.
What youll need to get the job done
Total Experience:7 years of professional experience in a relevant data science or analytics field.
Database & Big Data:Microsoft SQL Server Database Design Google Cloud Platform (GCP) andBigQuery.
Data Movement:Proficient in ETL (Extract Transform Load) processes.
Mathematics:Strong foundation in Statistics and Advanced Analytics.
Cloud & DevOps:Experience deploying data pipelines or data-intensive applications in cloud environments using containerization and Infrastructure as Code (IaC).
Software Development:Professional experience in Java or C# development.
Web Development:Experience in web application development is a significant plus.
What will make us REALLY love you
- Experience deploying and maintaining machine learning models in production environments (MLOps) including monitoring retraining and performance tuning.
- Hands-on experience with Python data science ecosystem (e.g. Pandas NumPy Scikit-learn TensorFlow PyTorch).
- Familiarity with real-time data processing and streaming frameworks (e.g. Kafka Spark Streaming).
- Experience working with large-scale distributed data systems and optimizing performance for high-volume datasets.
- Strong ability to communicate complex analytical insights to non-technical stakeholders influencing business strategy and decisions.
Required Experience:
Senior IC
About Company
We are a leading engineering design house with more than 35 years of experience of working with R&D, NPI, production & aftermarket services.