Senior Data Scientist (all genders)

Join our global team of experts 

At Diconium, we do digital business transformation across various industries. As a team member, you will work on projects that generate value from software, data, and AI by delivering strategies and solutions that challenge conventional industry practices and drive technological progress. Together with over 2,300 fellow experts, you enable Fortune 500 firms, global market leaders, and SMEs to maximize the impact of their digital initiatives and achieve digital excellence. In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. And we give you maximum flexibility thanks to our hybrid workplace. 

Get to know our data crew – beyond the job description
applydata represents Diconium’s data crew: pioneers in the practical magic of data. On the applydata blog, our data and AI experts share real project insights, personal perspectives, videos, and stories from our data studios – plus highlights from our meetups and upcoming events. Explore applydata and meet the people behind our data work.

Join our data crew as Senior Data Scientist (all genders) at our data studio Berlin.

• Development and implementation of machine learning algorithms and models to address our clients’ business challenges.

• Extraction of valuable insights from large and unstructured data sources.

• Creation and leadership in the development of AI/ML-driven solutions for predictive analytics, recommendation systems, and process automation.

• Collaboration with cross-functional teams to understand our clients’ business objectives and translate them into effective ML/AI solutions.

• Evaluation of model performance and continuous improvement of accuracy and efficiency through iterative optimization.

• Communication of findings and insights clearly and effectively to both technical and non-technical stakeholders.

• Assumption of functional leadership responsibilities and support of other data scientists in their professional development.

Must-haves

• Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field.

• 5+ years of relevant experience in data science with proven hands-on experience in applied machine learning, AI and statistical modeling.

• Proficiency in programming languages such as Python, including experience with relevant libraries (e.g., TensorFlow, scikit-learn, NLTK), as well as a good command of SQL.

• Great understanding of statistical methods and machine learning algorithms.

• Experience leading projects or taking on functional leadership responsibilities.

• Experience communicating with and managing stakeholders, ideally in the IT services industry or a consulting environment.

• Ability to work both independently and collaboratively in fast-paced environments, with excellent communication skills and the ability to clearly present complex technical concepts.

• Fluency in English.

Nice-to-haves

• Fluency in German (minimum B2 level). 

• Experience with big data technologies and cloud platforms. 

• Experience with data processing in Spark and Databricks, or similar technologies 

• Experience with data visualization, dashboarding tools or simple frontends for visualization (Streamlit, Dash, Tableau, PowerBI). 

• Knowledge of deep learning frameworks (e.g., PyTorch, Keras). 

• Previous experience with ML operations and deploying ML/AI models into production environments. 

• Experience with generative AI and agentic systems.

Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits!
Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.
Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.
Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.
Comprehensive Benefits: Enjoy public transport tickets, job bikes, access to exclusive Volkswagen employee conditions when leasing or purchasing a vehicle, health offers, supplementary insurances, a pension plan and various discounts.

At Diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.
 

If you have any questions, feel free to reach out.
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