Senior Data Scientist, Cognism
International sales intelligence platform
Job no longer available
International sales intelligence platform
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To drive the next evolution of sales and marketing technology.
Role
Who you are
- 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
- 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
What the job involves
- 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
Our take
Cognism is a lead generation platform that provides clients with a SaaS solution that facilitates prospecting and improves conversions. According to Cognism, over 1.800 international businesses use its solution to drive new revenue, across industries such as marketing, HR, and technology.
The company differentiates itself through patented AI technology that delivers various data about leads to clients, helping them streamline the prospecting process. For example, Cognism provides clients with real-time company and people data and their AI technology identifies new business opportunities. Moreover, the solution easily integrates with all major CRM systems, which facilitates targeted communication strategies.
It also differentiates itself through its dedication to building a leading GDPR-compliant prospecting solution. The company's substantial funding has been primarily invested in international expansion across Europe, strengthening its position in the US, and improving its regulatory expertise in order to set the standard for data compliance.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Jan 2022
$87.5m
SERIES C
Mar 2021
$12.5m
LATE VC
Total funding: $129.1m
Company benefits
- Generous Annual Leave/ Paid Time Off (PTO)
- A day off for your Birthday!
- Great Maternity and Paternity packages
- Monthly Wellbeing Allowance
- Access to Spill – our slack integrated Wellbeing Service
Company HQ
Vauxhall, London, UK
Leadership
James Isilay
(CEO)Studied Information Systems Engineering at Imperial College London. Previously worked for 7 years at UBS Investment Bank, holding various positions such as Quantitative Developer, FX Derivatives IT Developer and Junior Exotic Options Trader.
Stjepan Buljat
(CIO)Previously worked for 10 years at ETNA, holding various positions such as IT Architect, R&D Team Leader and Product Development Manager.
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