Data Science Lead (Programmatic Data Science) (f/m/d)

📌 Core Information

🔹 Job Title: Data Science Lead (Programmatic Data Science) (f/m/d)

🔹 Company: adjoe GmbH

🔹 Location: Hamburg, Germany

🔹 Job Type: Full-Time

🔹 Category: Software Development

🔹 Date Posted: July 16, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: Hybrid (3 core office days per week)

🚀 Job Overview

Key aspects of this role include:

• Growing and managing a data science team
• Developing data solutions to make adjoe ads competitive in the AdTech industry
• Being hands-on with data science tasks and mentoring team members
• Collaborating with product and business stakeholders to create impactful solutions
• Contributing to the company’s strategic planning and roadmap

ASSUMPTION: This role requires a balance of leadership, technical expertise, and strategic thinking to drive data science initiatives and help adjoe compete in the real-time bidding landscape.

📋 Key Responsibilities

✅ Grow and manage a data science team, including hiring, setting up routines, and defining guidelines

✅ Understand business goals and develop suitable data solutions to make adjoe ads competitive

✅ Be hands-on with data science tasks, dedicating at least 50% of working time to these tasks

✅ Mentor and train data scientists in the team to improve their skills in analysis, programming, communication, and planning

✅ Be the owner of critical data science documentation, such as experiments and implementation details

✅ Align with the adjoe ads product team and Cloud Infrastructure team on priorities, implementation details, tools, and best practices

✅ Contribute to the company’s strategic planning and work on a long-term roadmap and quarterly OKRs

ASSUMPTION: This role requires a strong focus on both team management and hands-on data science work, with a significant portion of time dedicated to mentoring and strategic planning.

🎯 Required Qualifications

Education: A tech degree (mathematics, physics, computer science, or similar) or equivalent professional experience

Experience: At least 2 years of experience working as a Lead, with a minimum of 5 years in data science

Required Skills:

• Strong knowledge of Python, R, Scala, Julia, or similar programming languages for Data Science
• Excellent analytical skills and the ability to see multiple solutions to problems
• Experience drilling into large amounts of data from various sources, including AWS Athena, Kafka, Spark, Flink, S3, MySQL
• Ability to dive deep into mathematical foundations and explain complex topics simply
• Excellent cross-team communication skills

Preferred Skills:

• Experience building a Data Science tech stack (e.g., Airflow, Spark, Kafka, Flink) and choosing the right technologies for the job together with MLOps and Data Engineers

ASSUMPTION: Candidates with a strong technical background in data science and relevant leadership experience are most likely to succeed in this role.

💰 Compensation & Benefits

Salary Range: €70,000 - €100,000 per year (AI-estimated, based on role, experience level, and location)

Benefits:

• Regular feedback and development program
• Relocation bonus and visa support
• 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym
• Flexible working hours and a hybrid work setup with 3 core office days
• Mental health support through an Employee Assistance Program (EAP)
• Team and company events, including hackathons and social gatherings

Working Hours: 40 hours per week, with flexible working hours and a hybrid work arrangement

ASSUMPTION: The estimated salary range is based on market research and may vary depending on the candidate's experience and negotiation skills.

📌 Applicant Insights

🔍 Company Context

Industry: Software Development, specifically focused on advertising and monetization technologies

Company Size: 51-200 employees, providing a mid-sized company environment with opportunities for growth and impact

Founded: 2018, with a relatively short history but rapid growth and established market presence

Company Description:

• adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions
• Part of the applike group ecosystem, with advanced tech stack, financial backing from Bertelsmann, and a motivated workforce
• Focuses on in-app ads sold in real-time auctions, competing against industry giants with its own ad network

Company Specialties:

• Advertising and monetization technologies
• Real-time bidding (RTB) and programmatic advertising
• Data science and machine learning

Company Website: adjoe.io

ASSUMPTION: adjoe's focus on innovation and competition in the AdTech industry creates an environment that values creativity, strategic thinking, and technical expertise.

📊 Role Analysis

Career Level: Mid- to Senior-level, with a focus on both leadership and technical skills

Reporting Structure: This role reports directly to the CTO and oversees a team of data scientists

Work Arrangement: Hybrid, with 3 core office days per week, allowing for flexibility and work-life balance

Growth Opportunities:

• Expanding the data science team and taking on more responsibilities as the company grows
• Contributing to strategic decision-making and company roadmaps
• Developing expertise in AdTech and programmatic advertising

ASSUMPTION: This role offers opportunities for both professional growth and impact on the company's strategic direction.

🌍 Location & Work Environment

Office Type: Modern, centrally located office with Alster Lake views, top-notch equipment, and open spaces

Office Location(s): Hamburg, Germany

Geographic Context:

• Hamburg is the second-largest city in Germany, offering a vibrant cultural scene, historic architecture, and a high quality of life
• The city is home to a thriving tech industry and a strong job market
• adjoe's office is centrally located, with easy access to public transportation and amenities

Work Schedule: Flexible working hours, with a hybrid work arrangement (3 core office days per week)

ASSUMPTION: The hybrid work arrangement and central office location provide a good balance between work flexibility and collaboration.

💼 Interview & Application Insights

Typical Process:

• Online application and resume screening
• Phone or video call interview to discuss the role and assess cultural fit
• Technical interview or case study to evaluate data science skills
• Final interview with the CTO or another senior team member

Key Assessment Areas:

• Technical skills in data science and programming
• Leadership and team management abilities
• Strategic thinking and problem-solving
• Communication and collaboration skills

Application Tips:

• Highlight relevant data science projects and achievements in your resume
• Prepare for technical interview questions focused on data analysis, modeling, and problem-solving
• Be ready to discuss your most passionate personal project and how it showcases your skills
• Research adjoe's company culture and values to demonstrate your fit during the interview

ATS Keywords: Data Science, Team Management, Python, R, Scala, Julia, AWS Athena, Kafka, Spark, Flink, MySQL, MLOps, Documentation

ASSUMPTION: The interview process will focus on assessing both technical skills and cultural fit, with a strong emphasis on data science expertise and leadership abilities.

🛠️ Tools & Technologies

• Python, R, Scala, Julia
• AWS Athena, Kafka, Spark, Flink, S3, MySQL
• MLOps tools (e.g., Airflow, MLflow)
• Data visualization and reporting tools (e.g., Tableau, Power BI)

ASSUMPTION: This role requires proficiency in programming languages and tools commonly used in data science, with a focus on AWS services and MLOps.

👔 Cultural Fit Considerations

Company Values:

• Innovation and continuous learning
• Collaboration and teamwork
• Customer focus and excellence

Work Style:

• Data-driven and analytical
• Agile and adaptable
• Results-oriented and proactive

Self-Assessment Questions:

• Do you thrive in a fast-paced, competitive environment and enjoy solving complex problems?
• Are you comfortable managing a team and mentoring team members to improve their skills?
• Do you have strong communication skills and the ability to work effectively with cross-functional teams?

ASSUMPTION: Successful candidates will demonstrate a strong fit with adjoe's company values and work style, with a focus on innovation, collaboration, and customer focus.

⚠️ Potential Challenges

• Managing a team in a fast-paced, competitive environment
• Balancing hands-on data science work with leadership responsibilities
• Keeping up with the latest trends and developments in AdTech and data science
• Working effectively with cross-functional teams and stakeholders

ASSUMPTION: This role presents unique challenges related to leadership, technical expertise, and strategic thinking in a competitive industry.

📈 Similar Roles Comparison

• Unlike traditional data science roles, this position requires a significant focus on team management and strategic planning
• In the AdTech industry, data science roles often involve real-time bidding and programmatic advertising, which may require specialized knowledge
• Career progression in this role may involve expanding the data science team and taking on more responsibilities as the company grows

ASSUMPTION: This role offers a unique blend of leadership, technical, and strategic responsibilities, with opportunities for growth and impact in the AdTech industry.

📝 Sample Projects

• Developing and optimizing real-time bidding algorithms to improve ad performance and revenue
• Analyzing user behavior and preferences to create targeted advertising campaigns
• Building and maintaining data pipelines and infrastructure to support data science workflows

ASSUMPTION: Sample projects in this role will focus on real-time bidding, user behavior analysis, and data infrastructure development, with a strong emphasis on innovation and optimization.

❓ Key Questions to Ask During Interview

• How does the data science team collaborate with other departments to create impactful solutions?
• What are the most significant challenges facing the data science team, and how can this role address them?
• How does adjoe support the professional growth and development of its employees?
• What are the key priorities for this role in the first 90 days?
• How does the company measure the success of the data science team and this role?

ASSUMPTION: Interview questions should focus on understanding the role's context, challenges, and opportunities for growth and impact.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Highlight relevant data science projects and achievements in your resume
• Prepare for technical interview questions focused on data analysis, modeling, and problem-solving
• Be ready to discuss your most passionate personal project and how it showcases your skills
• Research adjoe's company culture and values to demonstrate your fit during the interview
• Follow up with the hiring manager after your interview to express your interest in the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.