CEPRES is the leading and fastest growing digital investment platform for private capital markets, an institutional asset class which became very relevant in global investment portfolios of sovereign wealth fund, insurances, pension plans and others. This global institutional client base benefit from our award-winning investment solutions for their investment activities while we connect via the CEPRES platform thousands of professionals to the largest private investment network worldwide.

CEPRES is headquartered in Munich and New York, with additional offices in Denver, London, several locations in the Middle East and right now in the process of growing our newest entity in Istanbul. Our team is incredibly diverse with over 20 nationalities globally. We value insightful and innovative individuals who thrive in a team environment and are committed to excellence across the globe.

• Lead the research and development of innovative and strategic data prototypes.
  
• Apply cutting-edge technological solutions to address data handling challenges and identify automation opportunities.
  
• Drive the discussions on tool and system automation, aiming to enhance the efficiency, accuracy, and cohesion of data pipelines in accordance with the governance framework established with our Product department.
  
• Guide the team in executing complex client analyses and custom delivery projects, utilizing the right data and automation tools effectively.
  
• Assist business intelligence activities, constructing comprehensive data tracking and monitoring dashboards to provide insightful observations.
  
• Engage closely with cross-functional teams, including product, marketing, and sales, to ensure data science initiatives are aligned with business objectives.
  
• Drive ongoing enhancements in data science task force processes by staying abreast of industry trends and emerging technologies.
  
• Mentor junior data scientists, cultivating a culture of learning and innovation.
  

Requirements

• Bachelor's degree in data science-related fields and/or extensive professional experience in the industry.
  
• Working proficiency and +3 years of hands-on experience with Python and SQL. Applicable knowledge in other languages and tools would be a great value-add.
  
• Working proficiency and hands-on experience with data intelligence and visualization tools such as PowerBI and Tableau.
  
• Solid understanding of statistics and machine learning, with expertise in cutting-edge machine learning techniques and applied statistical skills.
  
• Strong analytical mindset and business acumen, with the ability to detect data patterns and translate them into actionable business insights.
  
• Exceptional communication skills, critical for conveying findings to both technical and non-technical audiences.
  
• Strong problem-solving skills coupled with a collaborative approach, showcasing effectiveness as a team player.
  

Benefits

• Career Path in Private Equity Step into one of the most in-demand and exciting industries in finance today. With us, you'll experience unparalleled opportunities for career growth and promotions, receive regular feedback, and benefit from mentorship provided by an international team of passionate experts. Be part of a unique growth story and take on an exciting, challenging role in a dynamic global environment.
  
• Culture That Drives Success We are powered by core values that foster an entrepreneurial spirit, drive results, and empower ownership. At our company, collaboration and mutual support are at the heart of everything we do. Transparency in company goals ensures you’re always part of the bigger picture.
  
• Commitment to Our People We care deeply about our team, offering outstanding benefits and opportunities to thrive in a diverse, inclusive, and international workplace
  
• Compensation of attractive package that reflects your skills, contributions, and growth potential.
  

At CEPRES, we're committed to creating an inclusive environment for all. We celebrate diversity and encourage applicants from all backgrounds, experiences, and perspectives to apply.