.**TGCS PAS Data Scientist****The company**Toshiba is a provider of technology services for retail businesses to create high-quality digital platforms and products that accelerate time to market. Our diverse and adaptable teams provide the right mix of solutions and methodologies to deliver results as we collaborate with our clients' teams to foster innovation through continuous learning.**Our people**At Toshiba, all team members are empowered to take responsibility and develop innovative solutions to our customers' most challenging problems. To retain and develop top talent, we foster a work environment that celebrates creativity, encourages skill development, and enables multidisciplinary collaboration.**What you will bring to the team****What you will be doing**:Your typical day as a Toshiba TGCS PAS Data Scientist **will** involve:- Assess the effectiveness and accuracy of new data sources and data gathering techniques.- Influence the roadmap of proprietary data collection agents and data collection processes.- Use predictive modeling to increase and optimize hardware maintenance and software quality.- Deliver scalable information technology solutions that will run 75% of the world's retailers- Increase visibility into retailer's hardware and software deployments- Shepard ML models and services from training, test, and deployment through TGCS labs and into the retailer's environment.- Perform ETL on hardware and software data- Create, deploy, and maintain timeseries forecasting and anomaly detection models.- Translate business requirements into functional and technical implementations- Propose solutions that create business value derived from available data.- Effectively collaborate with sales, software & global services to drive actions that maintain and win new business successfully.- Work together with the PAS team to ensure that the products and components work together to meet and exceed customer expectations.**Naturally To be successful in this role, you must have and know of**- Bachelor's degree in Computer Engineering, Computer Science, or related field- Use statistical programming languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.- Interest and drive to learn more about the retail landscape and it's nuances (Security Compliance, GDPR, business seasonality, hardware maintenance, employee and customer experience)- Use a variety of machine learning techniques (clustering, decision tree learning, artificial intelligence, neural networks, etc.) and their real-world advantages/drawbacks.- Experience visualizing/presenting data for stakeholders and clients**Preferred skills**:- Experience with Tableau and Tableau Server- Familiarity with Microsoft Azure Cloud and Azure Cognitive services and tools.- Experience integrating AI / ML into ITIL and Incident Management processes