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Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!

Data Science sit at the core of what we do at Dun & Bradstreet. We use modeling, statistics, machine learning, and visualizations techniques to develop new analytics solutions by leveraging new innovative data types and data sources.

A Data science role involves discovering underlying trends in data, extracting, modeling and predicting key insights through novel machine learning techniques, and driving their implementation to drive revenue. You will perform analytics to improve and develop Dun &

Bradstreet’s offering as well as delivering value in client specific case in close collaboration with related groups.

Key Responsibilities

• Perform machine learning developments on (very) large datasets with different types of data from Dun & Bradstreet's unique sources as well as several different types of unstructured data, such as online content or textual documents.

• Develop models and new variables through cutting-edge machine learning and NLP techniques.
• Deliver insights in descriptive reports or presentation.
• You will contribute with your expertise on new data sources and internal product development processes to assist other members of the team.
• Stay up-to-date with the latest developments in the field of machine learning and artificial intelligence.

• You are curious, creative and like to learn new things.
• You see solutions, not the problems!
• You have a strategic mindset
• You like working in teams
• You are a social person who likes to share your expertise, experiences and tips.
• You are flexible and thrive on change

• You have an analytical and critical thinking as well as a highly curious and eager-to-learn mindset.

• Good knowledge of Python
• 2-6 years of experience of working within analytics. You have focused on Statistical modeling, Machine learning or Natural Language Processing for at least 1 year.

• You have strong communication skills and good knowledge of speech and writing in English. French, German or Swedish is a plus.

• Knowledge on transformer models or related self-attention/deep learning models is a strong plus.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Global Recruitment Privacy Notice

Hala is a social enterprise working to transform the nature of protection and accountability in the world's toughest places by democratizing advanced defense, sensing, and artificial intelligence technology. Hala is currently saving lives, reducing trauma, and improving resilience for millions of people.

Our team works across the globe and hails from over 15 countries. We speak more than 20 languages and have studied and worked in leading educational, business, research, and government institutions. We are mission-driven thinkers, and we share a deep respect for each other and for the communities that partner with us.

We believe in innovation with purpose, focusing on developing real and applicable technology solutions to the challenges facing the planet. We believe in working ethically and collaboratively and making decisions with transparency. We value flexibility, adaptability, and a good sense of humor.

The Senior Data Scientist is an integral part of the Analytics & AI team. They will support the development of audio and image deep learning, and signal processing algorithms for audio processing. They will design, develop, and evaluate high-performing ML models and DSP algorithms for detecting, estimating, enhancing, and classifying audio, speech, and acoustic sensor data.

This is a full-time, long-term position located in Europe, with a yearly base salary range of 155.150€ - 165.150€. This position is also located in the US, with a yearly base salary range of $169,950 - $179,950.

We'll trust you to:

• Design, develop, and evaluate high-performing ML models and DSP algorithms for detecting, estimating, enhancing, and classifying audio, speech, and acoustic sensor data.
• Design, develop and optimize DSP/ML-based audio processing pipelines. 
• Develop new audio features for ML classification/recognition tasks.
• Develop new deep learning models, scale up, and optimize the performance of existing models.

• A creative and inquisitive problem solver.
• A highly organized individual with demonstrated ability to work independently.
• A strong communicator in both verbal and written forms, who recognizes the importance of documentation.
• A values-driven, trustworthy, and honest person with a passion for helping people in need.

• Masters, or Ph.D. Degree in Computer Science, Signal processing, Machine Learning, or equivalent professional experience.
• Solid experience in designing and implementing audio signal processing algorithms (e.g. speech enhancement, noise cancellation/suppression, adaptive filtering, spatialization, blind source separation, and others.)
• Experience applying ML to audio processing problems.
• Strong programming skills in Python (ability to write clean, correct code while iterating on experiments.) 
• Strong expertise in TensorFlow and/or PyTorch frameworks.
• Expertise in building custom deep learning models (convolutional networks, recurrent architectures, Transformers, etc.), defining careful objective metrics, and performing error analysis.
• Excellent verbal and written communication skills.
•  Excellent problem-solving skills.
• Experience or familiarity with speech recognition.
• Experience or familiarity with image recognition.
• Experience or familiarity with parallel processing or distributed programming.
• Experience or familiarity with C or C++ programming.
• Experience or familiarity with Natural Language Processing.

• Life-saving social impact.
• Competitive salaries.
• Unlimited vacation policy and flexible holidays so you can take time off when needed. All staff takes at least 22 days off plus holidays, including a mandatory 2-week vacation.
• Comprehensive, worldwide healthcare, dental, and vision insurance for you and your family at no cost.
• Paid parental leave.
• Flexible working policy, including the ability to work from home.
•  Computer and other office equipment to help you get your job done.
• A diverse, international community of dedicated, hardworking team players committed to interdisciplinary collaboration and thriving workplace culture.
•  Opportunities for international travel, including program locations and satellite offices.

What happens next:

We will review applications and reach out to candidates advancing to the interview stage on a rolling basis. You should expect an initial screening with one member of our Talent Acquisition team, followed by interviews with team members and the manager for this role, concluding with the opportunity to speak with one of our co-founders. Before the final interview, we will also request references to your previous experience, work ethic, and values.

You will receive confirmation that your application was received, and you’ll also hear back from us whether you’re selected for an interview or not. Please note that we are unable to offer individualized feedback before the first interview round due to the volume of applications we receive.