Cognism is a market leader in international sales intelligence. Access to our premium data, has helped a wide variety of global revenue teams change their approach to prospecting, resulting in predictable and prosperous outcomes.
Following multiple successful funding rounds and the acquisition of Mailtastic (2020), an email signature solution provider, and Kaspr (2022), a Paris-based sales prospecting tool, there has never been a more exciting time to join us.
As we grow, one of our main objectives is to continue hiring individuals, who are both a professional and cultural fit for our Company. Our values are at the core of everything we do!
Our people;
- Are Nice!
- Are Collaborative. We’re in this together!
- Are Solution-Focused. For every problem, we’ve got a solution!
- Are Understanding.
- Celebrate Individual Contributors.
We are committed to creating a diverse and inclusive global workplace, which encourages you to achieve any goals you may have, while having fun along the way!
About the Role:
We are currently seeking a Senior Data Scientist to join our data science team. This role demands a high level of expertise in analytical methodologies and tools, data modelling as well as the ability to work collaboratively on complex projects that drive strategic business decisions.
Key Responsibilities:
· Advanced Data Modeling: Develop sophisticated models that integrate with our enterprise data systems. Use statistical, algorithmic, mining, and visualization techniques to model complex problems, discover insights, and identify opportunities.
· Innovative Solution Development: Lead initiatives to design, test, and implement predictive models and machine-learning algorithms. Pilot the scalability of new ideas and integrate successful models into our core systems.
· Project Leadership: Collaborate with the Data Science Team Lead to prioritize business and information needs. Manage end-to-end data projects, ensuring they adhere to timelines and quality standards.
· Cross-functional Collaboration: Work closely with product, engineering, and operational teams to contribute to cross-functional projects. Communicate predictive insights and recommendations clearly to both technical and non-technical stakeholders.
· Mentorship: Act as a mentor to junior data scientists and analysts. Share knowledge and help team members enhance their skills in data science techniques and tools.
Requirements:
· Education: Master’s or higher preferred in Data Science, Computer Science, Mathematics, Statistics, Physics, or a related field.
· Technical Skills: Expert proficiency in SQL, Python, and Spark. Strong experience in machine learning, AI, and big data technologies. Familiarity with AWS tools like S3, Iceberg, Glue Jobs, Athena, etc., is highly desirable. Experience with deep learning methodologies such as recurrent neural networks, transformers
· Experience: Minimum 5 years of experience in a data science role with a demonstrated track record of delivering impactful data-driven solutions.
· Analytical Skills: Exceptional analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
· Communication Skills: Excellent communication and interpersonal skills, with the ability to advocate for data-driven approaches to non-technical audiences.
· Innovative Solution Development: Lead initiatives to design, test, and implement predictive models and machine-learning algorithms. Pilot the scalability of new ideas and integrate successful models into our core systems.
· Project Leadership: Collaborate with the Data Science Team Lead to prioritize business and information needs. Manage end-to-end data projects, ensuring they adhere to timelines and quality standards.
· Cross-functional Collaboration: Work closely with product, engineering, and operational teams to contribute to cross-functional projects. Communicate predictive insights and recommendations clearly to both technical and non-technical stakeholders.
· Mentorship: Act as a mentor to junior data scientists and analysts. Share knowledge and help team members enhance their skills in data science techniques and tools.
We are seeking candidates with experience in developing and deploying deep learning models for natural language processing (NLP), particularly those skilled with transformer-based models. While not mandatory, experience with recurrent neural networks (RNNs), large language models (LLMs), and retrieval-augmented generation (RAG) is highly desirable. Candidates with a strong understanding of vector-based retrieval methods and various NLP domains will be preferred. If you have a passion for pushing the boundaries of NLP technology, feel free to apply!
We look forward to hearing from you!
