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- Aufgaben: Lead a team to develop innovative, data-driven SaaS products and analytics solutions.
- Arbeitgeber: Join ITONICS, a dynamic company focused on AI and Data Science innovation.
- Mitarbeitervorteile: Enjoy flexible work, competitive pay, corporate discounts, and personal development budgets.
- Warum dieser Job: Make an impact in a supportive culture that celebrates achievements and fosters growth.
- GewĂĽnschte Qualifikationen: Expertise in machine learning, big data, Python, and strong analytical skills required.
- Andere Informationen: Participate in fun team events and enjoy a flat hierarchy with fast decision-making.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Your Contribution
As a Lead Data Scientist, you drive the ITONICS AI and Data Science vision, developing and executing strategies to create innovative, data-driven SaaS products while aligning with market dynamics and business goals. You will lead a high-performing team to deliver impactful analytics, machine learning solutions, and actionable insights that enhance decision-making and product excellence.
Your Day-to-Day Tasks
Strategic Leadership
Establish the Data Science and AI mission, vision, and strategic direction; and design and prioritize a comprehensive roadmap for innovative, analytics-driven ITONICS products aligned with business objectives and market dynamics.
AI & Analytics
Drive the development and integration of advanced analytics models, scalable machine learning solutions, and natural language processing techniques to deliver actionable insights, improve customer experiences, and create competitive advantages.
Operational Excellence
Develop and enforce best practices, methodologies, algorithms, and standardized software libraries to ensure consistency, efficiency, and scalability in project delivery and data-driven solutions.
Cross-functional Collaboration
Partner with the senior management as well as product and engineering teams to align AI initiatives with customer needs and organizational goals, ensuring seamless integration of machine learning and analytics features into the ITONICS products.
Team Leadership
Lead, mentor, and grow a high-performing Data Science and Machine Learning team, fostering innovation, technical excellence, and a collaborative, customer-focused culture.
Your Skills & Qualifications
REQUIRED
Machine Learning & Data Science Understanding of machine learning algorithms, model training, and validation processes; familiarity with libraries like TensorFlow, PyTorch, or Scikit-Learn.
Big Data Technologies Experience with big data processing tools (e.g. Hadoop, Spark).
Exposure to ML & NLP Exposure to deep learning models and natural language processing.
Database Management Experience with OpenSearch, SQL, and NoSQL databases (e.g. PostgreSQL, DynamoDB), as well as data management tools (e.g. ETL processes).
Programming Skills Experienced in Python.
Version Control Proficiency with the Git version control system.
Analytical Skills Strong problem-solving skills with the ability to diagnose and troubleshoot complex software issues.
Soft Skills Strong skills in remote leadership, collaboration, ownership, and accountability, with the ability to work effectively in a team environment and take responsibility for project outcomes.
NICE TO HAVE
Data Visualization Proficiency in data visualization tools such as D3.js, Plotly, or similar, and experience translating complex data into clear visuals.
Back-End Services Knowledge of Node.js or Golang.
Web Technologies Familiarity with RESTful and GQL API development.
Why us?
At ITONICS, we’re driven by a Rockstar culture that thrives on talent, creativity, and a shared belief that “anything is possible.” We recognize and reward high performance, offering growth, learning opportunities, and a dynamic, supportive environment. Our team benefits from flexibility, diverse global perspectives, and cutting-edge tools, all while working on an agile SaaS platform that scales innovation for top clients worldwide. Enjoy meaningful work, robust benefits, and a culture where achievements are celebrated—both personal and professional. Join us to make an impact and grow your career.
We offer:
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Challenging and varied tasks in an innovative and growing company with a flat hierarchy, fast decision-making, and cutting-edge technologies.
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Attractive, performance-related remuneration and a competitive benefits package.
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Regular company and team events like local year-end & summer celebrations.
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Annual personal development budget for you to invest in your development via professional memberships, external certifications, conferences, and more.
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Save money with corporate discounts across brands like Adidas, LG, Bosch, Apple, and more.
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Be part of a highly motivated team that fosters active communication and knowledge sharing.
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Lead Data Scientist (m/f/x) Arbeitgeber: ITONICS GmbH
Kontaktperson:
ITONICS GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Lead Data Scientist (m/f/x)
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and data science. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led teams in the past. Highlight specific projects where you drove innovation and collaboration, as this aligns with our focus on team leadership.
✨Tip Number 3
Prepare to discuss your experience with big data technologies and analytics models. Be ready to explain how you've applied these tools in real-world scenarios to deliver actionable insights and improve customer experiences.
✨Tip Number 4
Network with professionals in the data science community. Engaging with others in the field can provide valuable insights and potentially lead to referrals, which can significantly enhance your chances of landing the job.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Lead Data Scientist (m/f/x)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience in machine learning, data science, and leadership. Emphasize relevant projects and technologies you've worked with, such as TensorFlow, PyTorch, or big data tools like Hadoop and Spark.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and AI. Discuss how your vision aligns with ITONICS' mission and how you can contribute to their innovative SaaS products. Mention specific examples of your leadership experience and successful projects.
Showcase Your Technical Skills: Clearly outline your technical skills related to machine learning algorithms, database management, and programming languages like Python. If you have experience with data visualization tools or back-end services, be sure to include that as well.
Highlight Soft Skills: Don't forget to mention your soft skills, especially those related to remote leadership, collaboration, and accountability. Provide examples of how you've successfully led teams and fostered a customer-focused culture in previous roles.
Wie du dich auf ein Vorstellungsgespräch bei ITONICS GmbH vorbereitest
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll be expected to lead and mentor a team. Be prepared to discuss your leadership style, how you foster innovation, and examples of how you've successfully guided teams in the past.
✨Demonstrate Technical Expertise
Make sure to highlight your experience with machine learning algorithms, big data technologies, and programming skills, especially in Python. Be ready to discuss specific projects where you've applied these skills effectively.
✨Align with Company Vision
Understand ITONICS' mission and values. Be prepared to explain how your vision for data science aligns with their goals and how you can contribute to creating innovative, data-driven SaaS products.
✨Prepare for Cross-Functional Collaboration
Since collaboration with senior management and engineering teams is crucial, think of examples where you've successfully worked across departments. Highlight your communication skills and ability to integrate analytics into product development.
