Senior Data Scientist refactoring Python optimization algorithms and developing pricing models. Solving supply - chain challenges for Tiger Analytics’ retail and CPG analytics clients.
About the role
- Principal Application Scientist solving complex business needs in scientific environments using Dotmatics SaaS products. Collaborating with clients and internal teams to deliver effective solutions in remote settings.
Responsibilities
- Act as a partner & advisor to internal teams and customers to solve complex business needs using Dotmatics SaaS products.
- Work closely with customers to understand their needs, analyse their data environment, and design and implement solutions.
- Ensure that solutions are functionally correct, scientifically sound, and aligned to the customer's laboratory workflows and data requirements.
- Lead the technical/scientific delivery of strategic projects with customers.
- Present the benefits of Dotmatics software and explain the technical/scientific value to prospective clients.
- Provide oversight and governance on projects where there are parallel activities.
- Evaluate user requirements, provide estimates, solution design, and train Customers on how to use Dotmatics configured solutions.
- Communicate and collaborate among cross-functional teams in a multinational environment.
Requirements
- 10 years + experience in deploying SaaS solutions into the Life science industry/end user environments.
- Ideally you will hold a PhD or comparable working experience in Chemistry, Biology, Data Science, Bioinformatics or similar scientific/technical field.
- Expert experience in consulting customers (typical within the Scientific/Life Science community), with proven experience of SaaS Solution implementations.
- Experience as being the technical lead within partner-led delivery engagements, working alongside Stakeholders, Project Managers and Solutions Architects to ensure quality and progress across complex implementations, providing structured feedback directly throughout.
- Data integration: Planning, coordinating, and leading teams with the integration of data from various source.
- The ability to clearly document complex key business requirements.
- Acting as a consultant to customers, with proven experience of SaaS Solution implementations into complex scientific environments, such as Big Pharma/ large laboratory environments.
- Advanced knowledge of building and deploying APIs, frameworks, and event-driven integration patterns, with experience in data ingestion and transformation tooling such as Apache NiFi.
- In depth expertise in Oracle (SQL), SQL databases, and cloud native technologies including AWS.
- Strong ability to leverage data first architectures utilising Databricks (incorporating Databricks SQL Warehouse), Snowflake, Sigma, and data warehouse/lake technologies.
- Working knowledge of lab informatics software including ELN, LIMS, SDMS and instrument data systems, file transformations (CSV, XML, XLS, XLSX, XSL), and strong configuration management understanding.
- Ability to identify and communicate performance, scalability, and data quality risks within implemented solutions.
- Strong ability to focus on a data first architecture and data scientist technology (Databricks, Snowflake) and data warehouse/lake technologies.
- Programming or scripting language working with scientific data (including, but not limited to Python, JavaScript or other equivalent).
- Delivering high quality presentations and training, including the ability to present systems diagramming, UML (Universal mark up language) and ERD (Entity relationship diagrams).
- The ability to adjust communication style to speak to the audience with the ability to translate Scientific & Technical language in to layman’s terms.
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