Data Science Engineer (Optimisation)

UST seeks an experienced Data Scientist — Optimisation Specialist in Ukraine to join the UST Data Science team, which has achieved great recognition and results in its short life. The Data Scientist will engage with external Clients and internal customers, understand their needs, and deliver insights, recommendations and tools to shape their actions. With a focus on optimisation techniques and GCP implementation, you will drive innovative solutions while mentoring up to two junior data scientists or interns within the team.

Location: Ukraine.

Responsibilities:

• Engage with clients to understand their business objectives, data landscape, and analytical requirements. Act as a trusted advisor to recommend data-driven solutions that align with their strategic goals.
• Delivery of both ad-hoc analysis requests from external Clients and internal customers, as well as proactive value-add research delivered through documents, dashboards, presentations, etc.
• Apply advanced statistical, optimisation and machine learning techniques to analyse large datasets and derive meaningful insights. Develop predictive models, optimisation algorithms, and data visualisations to solve complex business problems.
• Formulate real-world problems as mathematical optimisation models, accounting for constraints, uncertainties, and multiple objectives.
• Design end-to-end data science solutions tailored to the specific needs of each client, with particular focus on optimisation approaches. Collaborate with cross-functional teams to integrate analytical models into client systems and processes using GCP.
• Develop innovative optimisation concepts and drive them towards implementation with growing self-sufficiency.
• Mentor junior data scientists, sharing expertise in optimisation techniques and GCP implementation.
• Share data science knowledge with wider functions, transforming raw data into useful and analysable derived data sets and develop re-usable analytical and visualisation methods.

Skills/Experience:

• BSc/MSc/PhD in Maths, Statistics, Operations Research, Data Science, Computer Science or related subject, or equivalent work experience.
• Substantial experience (6+ years) as a Data Scientist or similar role, preferably in a consulting or client-facing environment.
• Demonstrated expertise in optimisation techniques and algorithms, including:

• Linear, integer and mixed-integer programming

• Non-linear optimisation

• Metaheuristics (genetic algorithms, simulated annealing, particle swarm optimisation)

• Constraint programming and satisfaction problems

• Multi-objective optimisation

• Stochastic optimisation for handling uncertainty

Practical experience solving business problems like:

• Resource allocation and scheduling

• Supply chain optimisation

• Network design and flow optimisation

• Portfolio optimisation

• Pricing and revenue management

Proficiency with optimisation libraries and frameworks in Python, such as:

• PuLP, CVXPY, or Pyomo for mathematical programming

• DEAP or PyGAD for genetic algorithms

• SciPy for numerical optimisation

• Google OR-Tools for constraint programming and vehicle routing

• Gurobi, CPLEX, or CBC solvers (commercial or open-source)

• Knowledge and experience of the craft of creating actionable insights that non-technical stakeholders can act upon.
• Significant experience in advanced data science coding (eg. Python, R, SQL)
• Proven experience with GCP and its data science toolset (e.g., BigQuery, AI Platform, Dataflow, Dataproc) for scaling optimisation workloads.
• Experience implementing optimisation solutions as microservices or APIs for production use.
• Knowledge, awareness, and experience of the deployment of ML models and other advanced analytics into a GCP cloud production environment. Relevant GCP certifications are advantageous.
• Effective communication of technical findings and insights to non-technical stakeholders clearly and compellingly, particularly around complex optimisation concepts and trade-offs.
• Demonstrated ability to develop innovative concepts with guidance while working towards self-sufficiency.
• Experience creating visualisations that effectively communicate optimisation results and trade-offs.

We offer:

• The environment where you can implement your ideas.
• Plans for growth and performance review.
• Paid time off.
• Flexible schedule and opportunity to work remotely (8-hour workday).
• Participation in educational activities and thematic conferences.
• Team parties and corporate events.