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Form der ArbeitEMEA Principal Data Science Lead
Multiple Locations, Germany
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Overview
Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?
The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports our most complex and leading-edge customer engagements. EAG enhances ISD’s technical capabilities, and partners with others to develop approaches, innovative solutions, and engineering standards to set our sales and delivery teams up for success. Leveraging the principles of model, care, and coach, we provide consistent high-quality customer experience through technical leadership and IP capture centred on delivery truth. We are committed to Responsible AI, and we help our customers and partners build ethical, transparent and trustworthy AI solutions.
We are hiring a Principal Data Science Manager with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. You will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done.
Join us and help create life-changing innovations that impact billions around the world!
Qualifications
Required /Minimum Qualifications
- Bachelor's Degree in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience .
- 5+ years people-management experience .
Additional or Preferred Qualifications
- Bachelor's Degree in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience .
- 7+ years people-management experience .
***The role can be based within the EMEA region***
Responsibilities
People Management
- Managers deliver success through empowerment and accountability by modeling, coaching, and caring.
- Model - Live our culture; Embody our values; Practice our leadership principles.
- Coach - Define team objectives and outcomes; Enable success across boundaries; Help the team adapt and learn.
- Care - Attract and retain great people; Know each individual’s capabilities and aspirations; Invest in the growth of others.
Business Understanding and Impact
- Leads data-science projects or teams to align with business needs and deliver value.
Data Preparation and Understanding
- Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.
Modeling and Statistical Analysis
- Develops and applies ML frameworks and best practices for scalable and ethical solutions.
Evaluation
- Oversees review of data analysis and modeling techniques. Ensures selected modeling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).
Industry and Research Knowledge/Opportunity Identification
- Provides feedback, drives improvement, and shares knowledge as a Data Science expert.
Coding and Debugging
- Writes and debugs code for complex projects and leads solution development.
Business Management
- Leads ML and data-science partnerships and IP improvement.
Customer/Partner Orientation
- Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
Other · Embody our culture and values
