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Senior Data Scientist

We are seeking an experienced Senior Data Scientist with deep expertise in time series forecasting and a passion for working directly with customers to deliver impactful solutions. This is a cross-functional role that sits at the intersection of Data Science, Product, Sales, and Customer Success. Perfect for someone who thrives in collaborative environments and wants to see their work create a real-world value.

Sounds good? Then apply!

Job Category:
Development
Job Type:
Full-Time
Job Location:
Vienna / Hybrid

What’s to expect

  • Time Series Forecasting Expertise: Apply your time series forecasting expertise to help advance the product’s capabilities and support customers on their journey
  • Product & UX Collaboration: Partner with the Product teams to identify new functionality, enhance existing features, and tailor the product experience (UX and functionality) to better meet user needs.
  • Customer Engagement: Work directly with customers and prospects to understand their goals and potential use cases. Guide them through an efficient and valuable PoC phase and coach them during implementation.
  • Sales Partnership: Support the Sales team throughout the pipeline by building trust and showcasing our data science capabilities. Help accelerate the sales cycle through efficient technical validation (PoC) and early-stage consultation.
  • Internal Collaboration & Thought Leadership: Serve as a Data Science thought partner for Product Managers and Engineers. Contribute technical insight throughout the product development lifecycle to ensure features are data-savvy and scalable. Also support marketing with knowledge and support to create content (Blog, Podcasts, Videos) to foster visibility, credibility and reach.
  • Organization Development & Leadership: Collaborate with the other functions on building and scaling a successful and sustainable organization. Provide your Data Science perspective and expertise to strategic discussions.

What we are looking for

Requirements:

  • Proven data science expertise and experience working with time series forecasting techniques in real-world applications.
  • Demonstrated ability to translate business problems into data science solutions and communicate them clearly to non-technical stakeholders.
  • Strong interpersonal skills and experience working directly with customers or clients to understand and shape requirements.
  • A track record of cross-functional collaboration, especially with Product, Engineering, Sales, and Customer Success teams.
  • Experience running PoCs, defining use cases, and driving adoption of data-driven products or platforms.
  • Ability to lead with a consultative mindset, balancing technical excellence with a pragmatic, customer-first approach.

 

Preferred Qualifications:

  • Master’s or Ph.D. in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering).
  • Experience in SaaS or B2B tech environments.
  • Familiarity with modern data stacks, machine learning frameworks, and deployment workflows.
  • Previous involvement in shaping product strategy through a data science lens.

What we offer you

You’ll be at the forefront of bringing our AI Forecasting Platform to the next level, delivering on our strategic ambition and working with a highly skilled, motivated and collaborative team. This is a high-impact role with the opportunity to shape our product, customer experience, and overall growth trajectory.

How to Apply:
Please share your resume with us at office@prognotix.com

We offer personal freedom and individuality

Apply now!

Working at prognotix

At prognotix, we are dedicated to empower organizations through AI and Machine Learning. With ambitious plans ahead, we’re seeking professionals who share our passion for shaping the future of AI forecasting and are eager to explore uncharted territories.

Our AI-powered forecasting platform is already supporting large enterprises across different industries with accurate forecasts, helping them make informed, data-driven decisions.

Our work culture is a cornerstone of our success – emphasizing enjoyment, mutual trust, and a balance between autonomy and collaboration. We offer a flexible work environment without hierarchical reporting structures.

We are on the lookout for colleagues who are driven by the challenges of cutting-edge technology, who we can trust to deliver exceptional results, and who bring their own expertise to the table. We’re equally keen to learn from each other, staying at the forefront of the industry through continuous growth and shared knowledge.

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