Applied Researcher

Requirements:

• Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.
• Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.
• Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).
• Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.
• Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.

What you'll be doing:

• An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.
• A collaborative and supportive work environment where innovation and creativity are encouraged.
• Access to state-of-the-art resources and tools to support your research and development work.
• A culture that values diversity, inclusion, and the professional growth of its members.
• Competitive compensation and benefits package, tailored to attract the best talent in the field.

Nice to haves:

No specific nice to haves mentioned.

Perks and benefits:

No specific perks and benefits mentioned.