Data Scientist in Security Field - REF3779U at Deutsche Telekom IT Solutions

, , Hungary -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Cybersecurity, Python, R, Java, Statistical Modeling, Big Data, Hadoop, Spark, Neural Networks, Deep Learning, Linux, Windows, Networking, Anomaly Detection

Industry

IT Services and IT Consulting

Description

Company Description As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team. Job Description About the Position: We are looking for an innovative and driven Data Scientist to join our Security Operations Center Technology (SOCT) squad at DT Technik. In this role, you will apply advanced data science techniques to enhance your organization's security posture and protect against evolving cyber threats. This is an exciting opportunity to take on a completely new task within the team, working closely with the cybersecurity team. You will lead the effort to design and implement a machine learning models from the ground up, aimed at identifying anomalies in log data and inventory databases to detect security threats. This position is ideal for an experienced Data Scientist who is eager to take ownership of building new solutions, even if prior experience in the security field is not required. Key Responsibilities: Design and implement machine learning models to analyze large datasets and identify patterns Develop algorithms to flag potential security issues and anomalies in log data and inventory databases Collaborate with cybersecurity teams (Security Analysts and Engineers) to ensure the models and algorithms align with operational needs and to integrate data-driven solutions into existing security infrastructure Design and maintain data pipelines for processing security-related information Conduct research on emerging threats and develop innovative approaches to address them Optimize and automate security processes using data science techniques Provide technical expertise and support for security incident investigations Utilize tools and platforms such as Apache Hadoop, Apache Spark, Elastic Stack, Trellix Intrusion Detection System Document workflows, models, and findings to ensure transparency and reproducibility Qualifications Required Skills: Studies in Computer Science, Data Science, or a related field 3+ years of experience in data science or a related field, (preferably with a focus on security applications) Advanced Knowledge: Advanced knowledge of machine learning algorithms and statistical modeling techniques Proficiency in programming languages such as Python, R, or Java Expertise in supervised and unsupervised machine learning techniques Experience with neural networks and deep learning frameworks Experience with big data technologies (e.g., Hadoop, Spark) Excellent analytical and problem-solving skills Basic Knowledge: Linux and Windows operating system basics Networking fundamentals Optional Skills: Proficiency in German is a plus but not required Understanding of cybersecurity concepts, threats, and best practices Knowledge of network security protocols and encryption techniques Relevant security certifications (e.g., CISSP, CEH) are a plus Domain expertise in cybersecurity, threat intelligence, anomaly detection, and risk assessment Additional Information What We Offer: A unique opportunity to take ownership of a brand-new project within the SOCT team A collaborative and supportive work environment Access to cutting-edge tools and platforms Professional growth and development opportunities About You: You are a creative and self-motivated problem solver who thrives in building solutions from the ground up. You have a strong background in data science and machine learning, and you’re excited by the challenge of applying your expertise to a new and impactful domain. Your ability to work independently while collaborating with a dynamic team makes you an excellent fit for this role. * Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

Responsibilities

Design and implement machine learning models to analyze large datasets and identify patterns. Collaborate with cybersecurity teams to ensure the models align with operational needs and integrate data-driven solutions into existing security infrastructure.