Senior Data Scientist (all genders)

dger Diconium Germany GmbH; Berlin; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Benefits dieser Stelle

Public transport tickets

Job bikes

Health offers

Pension plan

Flexible hours

Zusammenfassung

dger Diconium Germany GmbH in Berlin is seeking a skilled data scientist with expertise in machine learning and AI. The successful candidate will develop algorithms that solve complex business problems and lead projects while collaborating with cross-functional teams.

Requirements include a Bachelor’s degree in a quantitative field and over 5 years of experience in applied ML. The role offers a hybrid work environment and numerous professional development benefits.

Qualifikationen

• 5+ years of relevant experience in data science with hands-on experience in applied ML and AI.
• Great understanding of statistical methods and machine learning algorithms.
• Fluency in English; German at B2 level is a plus.

Aufgaben

• Develop and implement machine learning algorithms to address business challenges.
• Collaborate with teams to understand business objectives and translate them into ML solutions.
• Lead projects and support other data scientists in their professional development.

Kenntnisse

Applied machine learning

Statistical modeling

Python programming

SQL

Stakeholder management

Ausbildung

Bachelor’s degree or higher in Statistics, Mathematics, Computer Science

Tools

TensorFlow

scikit‑learn

NLTK

Spark

Databricks

Tableau

PowerBI

Jobbeschreibung

Overview

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, we 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. We give you maximum flexibility thanks to our hybrid workplace.

What You Can Expect

• 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.

What You Bring Along

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.

What We Have to Offer

• Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity.
• Professional&PersonalGrowth: 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, health offers, supplementary insurances, a pension plan and various discounts.

Our Values

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.

Contact: [e-mail]