Principal Data Scientist (Machine Learning)

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Engineering, or related field., At least five years of relevant experience in machine learning, with a PhD counting towards experience., Deep expertise in machine learning, especially deep learning, with practical application skills., Proficiency in Python and deep learning frameworks like TensorFlow and PyTorch..

Key responsibilities:

  • Lead development and implementation of advanced machine learning models.
  • Present findings and strategic recommendations based on research and analysis.
  • Prototype innovative solutions to address market challenges.
  • Support deployment and documentation of data science solutions.

Data Impact by NielsenIQ logo
Data Impact by NielsenIQ Startup http://www.dataimpact.io/
201 - 500 Employees
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Job description

Company Description

We are a global, diverse team passionate about developing worldclass solutions to reveal the complete consumer journey to our clients. We are looking for a Principal Data Scientist to lead the transformation of how we measure consumer behavior across digital and physical channels.

Be part of the exciting journey to transform our panel measurement business.

Job Description

Join a global, international team in a flexible working environment.

Lead the development and implementation of advanced machine learning methodologies, with a strong emphasis on deep learning, to enhance panel measurement products.

Present and communicate findings and strategic recommendations based on research and analysis.

Prototype innovative solutions and methodologies to address emerging market challenges.

Support and guide the production deployment of machine learning models and data science solutions.

Document findings, methodologies, and best practices to ensure knowledge sharing and reproducibility.

Qualifications

You would be an excellent addition to our team if you possess deep expertise in machine learning and have handson experience applying advanced statistical and ML methods to solve realworld problems.

We are looking for:

· A Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related discipline, with at least five years of relevant experience (a PhD is considered as counting toward the required years of experience).

· Comprehensive knowledge of core concepts and theoretical foundations underpinning machine learning models, particularly within deep learning.

· Advanced proficiency in Python, with handson expertise using deep learning frameworks such as TensorFlow and PyTorch.

· Familiarity with cloud computing technologies, especially Azure.

· Experience in utilizing Databricks and Azure AI Studio for the development and deployment of machine learning solutions is preferred.

· Proficient in version control systems, including Git.

· Good analytical skills with the ability to manipulate, interpret, and derive insights from complex data sets.

· Demonstrated commitment to ongoing professional development and adaptability to emerging technologies and tools.

· Proven ability to take ownership of projects, proactively identify opportunities, resolve challenges, and drive initiatives independently.

· Good written and verbal communication skills, complemented by a collaborative approach to teamwork.

Additional Information

Nice to Have:

· Knowledge of consumer behavior and experience with (un)managed consumerrelated crowdsourced panels.

· Experience in supporting technology teams in production deployment and scaling of ML solutions.

Our Benefits

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Adaptability
  • Teamwork
  • Communication

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