Senior Data Scientist

Job title:

Senior Data Scientist

Company

Ascent Software

Job description

Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data.About UsWe are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too!At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community.As part of our team, you’ll be tasked with:Part of the Data Science practice that inherits our high standards and consistency. We apply best-in-breed enterprise-grade practices to ensure the performance and supportability of our applications while keeping obsessed with user experience and best practices in data communication. We apply Shiny application for appropriate use cases at the right data maturity level, and make sure organisations get the most out of Shiny.Your role will involve but not limited to:

• Become a trusted consultant for the customer, and go beyond a “developer” or “engineer” mindset in all engagements
• Advise customer on technical solutions to business problems, actively identifying gauging gaps in customer’s capabilities, capacity to inform account approach
• Implement complex Shiny solutions and support end-to-end pipelines
• Challenge solution design and methodology with innovative ideas
• Apply Software development discipline and computational efficiency in project delivery
• Plan and estimate for delivery, support project management from the technical perspective
• Advocate for DevOps skills, disciplines and principles
• Ownership of at least parts of deliverables, including definition of success, implementation, quality control and presentation of output
• Main contributor to internal asset build (PoC, Assets)

We are looking for passionate and driven individuals with:

• Proficiency in R Programming: Mastery of R programming language, including data manipulation, visualization, statistical analysis, and package development.
• Advanced Shiny Development: In-depth understanding of Shiny framework, including reactivity, modules, layouts, and custom input/output components.
• Web Development Technologies: Knowledge of HTML, CSS, and JavaScript for customizing the appearance and behaviour of Shiny applications.
• Data Visualization: Ability to create interactive and insightful visualizations using libraries like Plotly, within Shiny apps.
• Database Integration: Experience in integrating Shiny applications with databases (e.g., SQL databases) for data storage, retrieval, and manipulation.
• Version Control: Proficiency in version control systems like Git for collaborative development and code management.
• Performance Optimization: Skills to optimize Shiny applications for performance, including minimizing load times, improving responsiveness, and handling large datasets efficiently.
• Testing and Debugging: Ability to write unit tests, perform debugging, and troubleshoot issues within Shiny applications.
• Deployment and Scaling: Knowledge of deploying Shiny applications in production environments, including configuring servers, managing dependencies, and scaling applications to handle increased loads.
• Documentation and Communication: Strong communication skills to understand client requirements, document application features, and effectively communicate technical concepts to non-technical stakeholders.
• Continuous Learning: Commitment to staying updated with the latest developments in R, Shiny, and related technologies through continuous learning and self-improvement.
• Azure Data Science Associate Certificate is desirable.

Working at AscentAt Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches.Your development and learning will be taken seriously, and we’ll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries.Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply.If you have any questions contact our Talent Acquisition team on [email protected].For more details about life at Ascent, check out our Life Page .Apply

Expected salary

Location

United Kingdom

Job date

Wed, 11 Sep 2024 22:50:15 GMT

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