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- Aufgaben: Lead and deliver intelligent automation solutions for customers using our products.
- Arbeitgeber: Join DeepOpinion, a fast-growing SaaS startup revolutionizing cognitive automation with AI.
- Mitarbeitervorteile: Shape your role from day one in a trust-based, agile environment with remote work options.
- Warum dieser Job: Make a real impact on users and the industry while collaborating with motivated colleagues.
- Gewünschte Qualifikationen: Fluent in German and English; degree in a quantitative field or relevant experience required.
- Andere Informationen: Work in a spacious office in the Alps with a competitive compensation package.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
As Senior Solution Engineer in the Customer Success & Solutions team, you are responsible for leading and delivering intelligent automation solutions to our customers based on our products. This involves diverse tasks from evaluating customer requirements, technical solution consulting, solution design, project planning, data evaluation, solution implementation, solving data science challenges, and customer onboarding.
Aufgaben
- Take responsibility for technical planning and solution design by transforming customer requirements into efficient cognitive automation workflows by leveraging our internal software solutions suite.
- Own the ongoing technical communication across various stages with the customer. Be the trusted go-to technical contact for the customer. Support Pre-Sales and Customer-Success Team with technical know-how.
- Deliver the implementation of cognitive automation solutions to meet customer requirements within the project timeline.
- Navigate enterprise environments both technically and communication-wise. This means using your knowledge of enterprise environments to help customers in setting up the communication efficiently, communicating requirements and responsibilities clearly, ensuring fast feedback loops, and supporting the setup and use of our on-premise software solutions.
- Transform data from customers into high-quality input for machine learning and data analysis. This involves data gathering from web APIs, exploratory data analysis, data cleaning, transforming data, data validation, and optimization of data label quality for the training of high-performance machine learning models.
- Ensure that delivered solutions continue to operate smoothly and provide proactive technical support to customers as needed.
- Establish implementation processes and contribute code that improves the time spent on projects and also ensures the high quality of the solution delivered.
- Extend and enhance the solution engineering toolbox with the latest technologies to optimize the implementation projects\‘ efficiency and results.
- Collaborate and communicate internally with the customer success, machine learning & product engineering team. This includes project reviews, helping to conceptualize new features, ongoing communication of customer needs, and relevant insights learned.
Qualifikation
Fluent in German and English is necessary for this role.
- A degree in a quantitative scientific discipline (Mathematics, Physics, Computer Science, or similar) and/or significant experience working as a Solution Engineer, Solution Architect, or Data Scientist/Data Engineer, ideally with corporate customers or in a corporate environment.
- Experience with data handling/data wrangling: Exploratory data analysis, data cleaning, data transformations, data visualization, building end-to-end data processing pipelines.
- Experience in software development.
- Great presentation and communication skills.
- Scientific thinking: Ability to break down a concept into its causal parts, reasoning from first principles.
- Demonstrated proficiency in Python or similar high-level programming languages.
- Highly motivated to deliver exceptional outcomes for our customers.
- Reliable in delivering on deadlines in challenging and new projects.
- Experience with enterprise on-premise software environments is an advantage.
Our stack
- OS: Linux
- Languages: Python, Bash
- Libs: Numpy, Scikit-learn, Matplotlib, Apache Airflow, Jupyter, AutoNLU (in-house)
- Tools: Git, Docker, Apache Airflow, Power-BI, Tableau API: Studio-API (in-house)
Benefits
- We are a startup. That means you can still shape team, products, and processes and have an impact from day one.
- Connect with highly motivated, committed colleagues that together shape the future of cognitive automations with a focus on Natural Language Processing.
- Contribute to building world-class products with a real impact for users, customers, and in the industry.
- Enjoy a trust-based, open-minded working environment with flat hierarchies.
- We work agile and iteratively deliver towards our milestones and goals. We do code reviews and pair programming.
- We work closely together in the whole team, we help each other out, we share knowledge, we take responsibility, we give and take feedback, we spar, we communicate.
- Work in a spacious office in the heart of the Alps with the option to work remotely.
- Receive a competitive compensation package.
DeepOpinion is a well-financed and rapidly growing SaaS technology startup located in Innsbruck and Munich. DeepOpinion is surfing the next wave of automation solutions that will enable companies to automate repetitive cognitive processes using AI/machine learning. Our mission is to free people from repetitive cognitive tasks so that their work is meaningful again, ultimately shaping the future of work.
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Sr. Solution Engineer (Data Scientist) German speaker (f/m/d) Arbeitgeber: Deepopinion
Kontaktperson:
Deepopinion HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Sr. Solution Engineer (Data Scientist) German speaker (f/m/d)
✨Tip Number 1
Make sure to familiarize yourself with our internal software solutions suite. Understanding how to leverage these tools will be crucial in transforming customer requirements into effective automation workflows.
✨Tip Number 2
Brush up on your data handling skills, especially in exploratory data analysis and data cleaning. Being able to demonstrate your proficiency in these areas during discussions will set you apart as a candidate.
✨Tip Number 3
Highlight your experience with enterprise environments. Show that you can navigate technical communication effectively, which is key to building trust with customers and ensuring smooth project execution.
✨Tip Number 4
Prepare to discuss your experience with Python and other programming languages. Be ready to share examples of how you've used these skills in past projects, particularly in building end-to-end data processing pipelines.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Sr. Solution Engineer (Data Scientist) German speaker (f/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the responsibilities and qualifications required for the Senior Solution Engineer position. Tailor your application to highlight relevant experiences that align with these requirements.
Highlight Technical Skills: Emphasize your technical skills, especially in Python, data handling, and software development. Provide specific examples of projects where you successfully implemented cognitive automation solutions or worked with machine learning models.
Showcase Communication Abilities: Since the role involves significant customer interaction, demonstrate your communication skills in your application. Include examples of how you've effectively communicated technical concepts to non-technical stakeholders or collaborated with teams.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the specific requirements of the job. Use keywords from the job description and ensure that your documents are well-structured, clear, and free of errors before submitting them through our website.
Wie du dich auf ein Vorstellungsgespräch bei Deepopinion vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data handling and software development. Highlight specific projects where you implemented cognitive automation solutions or worked with machine learning models, as this will demonstrate your capability to meet customer requirements effectively.
✨Communicate Clearly in Both Languages
Since fluency in German and English is essential, practice explaining complex technical concepts in both languages. This will not only show your language skills but also your ability to communicate effectively with diverse stakeholders.
✨Demonstrate Problem-Solving Skills
Prepare to discuss how you've tackled data science challenges in the past. Use examples that illustrate your scientific thinking and ability to break down problems into manageable parts, showcasing your analytical mindset.
✨Emphasize Collaboration and Teamwork
Highlight your experience working in team settings, especially in agile environments. Discuss how you’ve contributed to project reviews and collaborated with cross-functional teams, as this aligns with the company's emphasis on teamwork and communication.
