At a Glance
- Tasks: Lead AI-powered projects, design digital twins, and solve complex customer challenges.
- Company: Join a pioneering tech firm focused on transforming decision-making with AI.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Other info: Collaborative culture with opportunities for professional growth and development.
- Why this job: Make a real impact in healthcare and life sciences while driving innovation.
- Qualifications: Senior-level data science experience, proficiency in Python, and strong leadership skills.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- You have senior-level experience in data science or quantitative research, supported by a strong foundation in statistics and mathematics.
- You’re proficient in Python and essential libraries like NumPy and Pandas, with familiarity in deep-learning frameworks such as TensorFlow or PyTorch.
- You possess a versatile toolkit—including supervised learning, time-series, and Bayesian methods—and the creativity to develop new algorithms when needed.
- You bring a leadership mindset focused on technical excellence, team growth, and fostering a collaborative, inclusive culture.
- You exhibit scientific rigour and a business-focused approach, successfully translating complex problems into actionable technical strategies.
- You’ve demonstrated success in project planning and delivery, with the communication skills to present persuasively to senior stakeholders.
- If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles.
What the job involves
- The Faculty Frontier TM product is our ambitious vision to create the first enterprise-grade platform that unifies decision intelligence with AI Agents to optimise real‑world outcomes of critical processes across large-scale organisations.
- You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.
- As a Senior Data Scientist, you will lead the design and delivery of AI-powered digital twins that transform how organisations make critical decisions.
- You will sit at the heart of cross-functional teams, blending technical excellence with commercial insight to solve complex customer problems.
- This is an opportunity to mentor emerging talent while driving high-impact, production-grade AI solutions in a fast-paced, entrepreneurial environment.
- Designing and building computational twins, creating AI-driven digital reflections tailored for each unique Frontier deployment.
- Leading data science efforts within cross-functional teams, partnering with engineers, designers, and commercial leads to ensure successful project outcomes.
- Understanding deeply core customer challenges to ensure every technical solution delivers significant real-world value.
- Performing rigorous exploratory data analysis, model building, validation, and performance monitoring.
- Supporting strong client relationships by working alongside our commercial team to shape the strategic direction of projects.
- Mentoring and developing other data scientists through task leadership and potential line management.
Senior Data Scientist (Frontier Customer Development) employer: Deepstreamtech
As a Senior Data Scientist at our innovative company, you will thrive in a dynamic and inclusive work culture that prioritises collaboration and technical excellence. We offer exceptional opportunities for professional growth, mentorship, and the chance to lead impactful AI projects that drive real-world change, particularly in the healthcare and life sciences sectors. Located in a vibrant area, our workplace fosters creativity and encourages you to push the boundaries of data science while making a meaningful contribution to society.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Frontier Customer Development)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, TensorFlow, or any cool algorithms you've developed. This is your chance to demonstrate your technical prowess and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data science concepts in simple terms, as you'll need to present your ideas persuasively to senior stakeholders.
✨Tip Number 4
Don't hesitate to apply through our website! Even if you don't tick every box in the job description, if you're excited about the role and believe you have key strengths, we want to hear from you. You might just be the perfect fit!
We think you need these skills to ace Senior Data Scientist (Frontier Customer Development)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your senior-level experience in data science and your proficiency in Python. We want to see how you’ve used libraries like NumPy and Pandas in real projects, so don’t hold back on the details!
Be Creative with Your Examples:When discussing your toolkit, share specific examples of how you've applied supervised learning, time-series analysis, or Bayesian methods. We love seeing creativity in problem-solving, so if you've developed new algorithms, let us know!
Communicate Clearly:Your application should reflect your ability to present complex ideas simply. Think about how you can translate your technical expertise into business-focused strategies that resonate with stakeholders. Clear communication is key!
Don’t Be Shy!:If you’re excited about the role but don’t tick every box, go ahead and apply anyway! We value enthusiasm and potential just as much as experience. Head over to our website and show us what you’ve got!
How to prepare for a job interview at Deepstreamtech
✨Brush Up on Your Technical Skills
Make sure you're comfortable with Python and its libraries like NumPy and Pandas. Be ready to discuss your experience with deep-learning frameworks such as TensorFlow or PyTorch, as well as your toolkit for supervised learning and Bayesian methods.
✨Showcase Your Leadership Mindset
Prepare examples that highlight your leadership skills and how you've fostered a collaborative culture in previous roles. Think about times when you mentored others or led a project to success, and be ready to share those stories.
✨Communicate Complex Ideas Simply
Practice explaining complex data science concepts in a way that’s easy to understand. You’ll need to demonstrate your ability to translate technical jargon into actionable strategies for senior stakeholders, so keep it clear and concise.
✨Understand the Business Context
Research the company’s focus areas, especially in healthcare and life sciences. Be prepared to discuss how your technical solutions can deliver real-world value and address core customer challenges, showing that you’re not just a techie but also business-savvy.
