Data Scientist

Diebold Nixdorf invites you to join their dynamic team, where you can automate, digitize, and transform banking and shopping experiences for millions globally. This vital role focuses on supporting business planning, execution, and evaluation through the comprehensive aggregation, analysis, and interpretation of customer, transaction, product, and other relevant data. You will conduct extensive research, analysis, development, and interpretation to capture and derive meaning from large, complex datasets. Key responsibilities include creating capabilities leveraging AI, machine learning, data mining, and statistical processing for information analysis and automated processing. Collaboration with key stakeholders is essential to translate data into actionable insights for business-focused actions and strategic decisions, ensuring company data science applications incorporate state-of-the-art concepts and methodologies.

Responsibilities

Technical Skills

• Strong proficiency in statistical analysis, measurement methodologies, analytical tools, and programming languages like Python, SQL, and PySpark.
• Experience applying machine learning algorithms and frameworks to solve real-world challenges.
• Ability to design, build, and evaluate predictive models and advanced analytics solutions.
• Proficiency in data visualization tools (e.g., Power BI, Python visualization libraries).
• Familiarity with data mining, data wrangling, and handling large or complex datasets.

Professional Competencies

• Analytical Thinking: Investigate issues, identify root causes, evaluate options, and develop logical solutions.
• Business Acumen: Understand economic, financial, market, and industry trends to support strategic decisions.
• Consulting Skills: Understand client needs, define project scopes, communicate progress, and influence stakeholders.
• Communication: Deliver clear, compelling insights using stories, analogies, and appropriate formats.
• Complexity Management: Distill complex information into easily understood insights and identify key drivers.
• Integrity & Ethics: Adhere to professional standards, organizational policies, and personal values.
• Influence: Engage stakeholders to build consensus and drive aligned decision-making.

DN Behaviors

The role is expected to consistently exhibit the following behaviors:

• Communicates with Impact
• Manages Complexity
• Acts with Integrity
• Establishes Strategic Direction
• Influences Positive Outcomes

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field (or equivalent experience).
• Experience working with statistical tools, programming languages (Python, PySpark), and machine learning technologies.
• Prior experience working cross-functionally with business teams to translate analytics into strategic recommendations.
• Experience requirements may vary depending on job level (e.g., Associate through Senior Principal).

Preferred Qualifications

• Experience in service innovation, customer analytics, or product performance analytics.
• Familiarity with Azure cloud-based data environments.
• Experience with Prompt engineering.
• Experience with CI/CD and working in agile environments.
• Experience influencing senior stakeholders or contributing to enterprise-level analytics strategies (for higher-level roles).

Required Qualifications

• Diploma or equivalent work experience required.
• Minimum of 2-4 years of relevant experience or equivalent combination of education and experience in Data Science.
• Good business English skills (Written and spoken).