Data Scientist (Marketing)
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Data Scientist (Marketing) with 3+ years experience in data science to join our remote team, developing advanced models and analyses.
Responsibilities
- Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges
- Collaborate with data engineers to build scalable data pipelines for modelling and reporting
- Translate business requirements into data science problems with defined success metrics
- Prepare, clean, and manipulate large datasets for analysis and modelling
- Communicate results and recommendations clearly to diverse stakeholders, including non-technical audiences
- Work with product teams to integrate data science solutions into operational workflows
- Ensure all models and analyses comply with data ethics and privacy standards
- Lead experiments to test hypotheses and improve product or service performance
- Build capability across teams by mentoring colleagues and sharing best practices
- Contribute to the data science community and represent the organisation externally where appropriate
Requirements
- Proven experience (3+ years) in data science or advanced analytics roles
- Proficiency in using data visualisation tools to communicate findings
- Strong programming skills in languages such as Python (preferred) or R
- Experience with machine learning techniques and statistical modelling
- Experience working with large, complex datasets
- Ability to explain complex technical concepts to non-technical audiences
- Understanding of data ethics, privacy, and governance principles
- Experience working in cross-functional teams and collaborative environments
- Experience of applying version control in GitHub and of collaborating with others on codebases
- Strong problem-solving and critical thinking skills
- Written and verbal proficiency in English is required
Nice to Have
- Experience in a commercial, or education technology environment
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Experience with modern data engineering tools and frameworks
- Knowledge of Agile methodologies and product development lifecycles
- Publications, conference presentations, or contributions to the data science community
- Experience of working with ML or AI Engineers
We Offer
- Constant support of dedicated consultant
- Employee referral program
About the Company
DCG Sp. z o.o. is a recruitment company that understands the importance of experienced professionals in every business. Our management style and partnership approach enable us to meet your needs and provide continuous support. We are headquartered in Warsaw, Poland, and have an office in Gdańsk.
Contact Information:
- Address: ul. Towarowa 28, 00-839 Warszawa
- Branch: Aleja Grunwaldzka 50A, 80-241 Gdańsk
- REGON: 141316780
- NIP: 5222877930
- KRS: 0001067305
Apply online and join our growing team!
© DCG. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
IT Services,Financial Services,Telecommunications,Data Center Migration,Regulatory Compliance
About the Company DCG is a company that matches business needs with the ambitions of individuals. They value well-matched collaborations, helping candidates find environments where they can thrive and companies to build teams. Products, Services & Tech Stack Core Solutions: Recruitment Outsourcing Team Leasing Technologies & Frameworks: Checkpoint (VSS, VSX, URL) Fortinet (Fortimanager, FortiAnalyzer, UTM) VPN CISCO Orion (NPM, NCM) Infoblox VISIO Cisco ASA Firewalls Catalyst switches ISR routers Secunet SINA routing switching DMVPN IPSEC Windows stations telephony Wifi Linux/SQL IBM p-series Solaris Linux PRINCE2 PMP ITIL Remedy MS Project MS Outlook Project Scope & Target Clients Client Base: Corporations requiring network security policy and procedure creation. Corporations needing secure information exchange systems. Corporations relocating headquarters. Corporations needing compliance with local financial regulatory requirements. Corporations migrating critical business applications. Corporations separating Shared Service Centers. Engineering Scale: Projects involving optimization of network configurations. Projects involving secure data transmission in network environments. Projects involving relocation of corporate headquarters. Projects involving compliance with local financial regulatory requirements. Projects involving migration of critical business applications. Projects involving separation of Shared Service Centers.
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