SENIOR DATA SCIENTIST

Svitla Systems Inc. is looking for a Senior Data Scientist for a full-time position (40 hours per week) in Ukraine.

Our client is a Washington, DC-based cybersecurity company that develops advanced solutions for real-time network threat detection and visibility. Their patented AI-powered technology analyzes just 1% of network traffic to deliver full visibility and detect potential threats without the need for additional agents or sensors. The system is designed to integrate seamlessly with on-premises, cloud, or hybrid infrastructures, offering scalable protection with minimal resource use. Their solutions serve smart cities, enterprises, and service providers, enabling proactive defense against modern cyber threats.

We are looking for a Data Scientist to join the team. In this role, you will:

Work with large-scale network data.
Build and improve predictive models.
Apply advanced analytics, machine learning, and statistical methods to detect and prevent cyber threats.
Contribute to the development of next-generation cybersecurity defense tools.

Project Overview

Goal:
Transform large-scale location data into valuable, actionable insights.
Develop ML and Gen AI algorithms for location-based products.
Build scalable, production-ready models for regression, classification, clustering, and anomaly detection.
Drive innovation by applying statistical and machine learning techniques to real-world behavior patterns.
Team:
Cross-functional team of Data Scientists and Engineers.
Collaborative environment focused on research, prototyping, and productionization.
Strong focus on mathematical rigor, scalability, and system performance.
Works closely with product and customer-facing teams to translate business problems into data solutions.
Scope:
Daily processing of terabytes of location data.
Coverage of hundreds of millions of points of interest across the US and Canada
Integration of billions of geospatial signals.
Projects span algorithm development, data quality assessment, hypothesis testing, and model deployment.
Technology Stack:
Python, Scala, Spark, Hadoop.
Machine Learning, Deep Learning, Gen AI.
Probabilistic Graphical Models, Active Learning, Bayesian Statistics.
Graphical Data Structures, Functional Programming.
Outcomes:
Scalable and efficient algorithms ready for production.
Technical and functional documentation of models and findings.
Clear communication of results to technical and non-technical stakeholders.
Ownership and delivery of end-to-end data science solutions with minimal guidance.

Preferred Qualifications

PhD in a quantitative field, or a Master’s with 5+ years’ experience in a data science role.
Experience with ML, Gen AI, Deep Learning, Probabilistic Graphical Models, Active Learning, Anomaly Detection, Image Classification.
Experience with Scala, Spark, Python, AB testing, Bayesian statistics, Graphical Data Structures, and Functional Programming.
Extensive background in math or statistics.
Experience owning multiple large projects/data products.
Completing all research/design from an initial question to a proof of concept ready for productionization efficiently.
Documenting all findings, processes, and use cases for both a technical and non-technical audience.
Spoken English – min Upper Intermediate.
Daily meetings with the client in the morning EST.
Work hours extend until approximately 9:00 PM UA time.

Responsibilities

Generate and implement ML and Gen AI algorithms.
Design and prototype of scalable algorithms.
Assess the quality of new datasets for downstream processing.
Create functional and technical documentation of analyses, findings, and prototypes.
Collaborate with Engineering to productionize prototypes.
Communicate results to teams within the organization and to customers.
Find creative solutions to business problems and develop them into products.
Own and drive projects with minimal guidance.

We offer

US and EU projects based on advanced technologies.
Competitive compensation based on skills and experience.
Annual performance appraisals.
Flexibility in workspace, either remote or in one of our development offices.
Comprehensive medical insurance including dental and massages.
Sport reimbursement program for onsite and online activities.
Support of a healthy lifestyle, compensation for running events.
Bonuses for recommendations of new employees.
Bonuses for article writing, public talks, other activities.
Personal loan budget available for long-term personnel.
20 vacation days, 10 national holidays and sick leaves.
Maternity leave policy and family days off.
Full compensation for conferences, courses, English classes.
Free webinars, meetups and conferences organized by Svitla.
Gifts for New Year, anniversaries, children, and more.
Fun corporate celebrations and activities, regular lectures on various topics.
Awesome team, friendly and supportive community!

SENIOR DATA SCIENTIST

Key Skills

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