Data Science Engineer

Ascendix Technologies

Ascendix Technologies, founded in 1996, is a global software service company specializing in AI and PropTech. Our core mission is to help our clients get top-notch business results through the smooth automation of processes, leveraging AI solutions, customer-facing apps, and precisely tailored back-office software to meet their distinct needs. Based in bustling Dallas, Texas, we operate across the globe, with strategically positioned teams throughout Europe.

Position

We are looking for a Middle/Senior Data Science Engineer to join one of our international projects focused on optimization, planning, and decision-support systems. This role is ideal for someone who enjoys solving complex operational problems, building production-grade Python solutions, and working closely with cross-functional teams to deliver robust, scalable systems.

Requirements:

• 5+ years of commercial experience in applied Data Science, Machine Learning, or optimization-focused software engineering.
• Strong Python skills, including modern Python practices, type hints, packaging, and virtual environments.
• Hands-on experience with numerical and data analysis libraries such as NumPy and pandas.
• Experience with mathematical optimization or combinatorial optimization in production environments.
• Practical knowledge of optimization tools such as Google OR-Tools CP-SAT, or similar solvers like Gurobi, CPLEX, PuLP, or Pyomo.
• Experience designing and validating optimization or simulation models for scheduling, routing, capacity planning, or similar use cases.
• Solid understanding of statistics and demand modeling.
• Experience with asynchronous and service-oriented Python applications.
• Strong analytical and structured problem-solving skills.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Good written and verbal English communication skills.

Nice to have:

• Background in Operations Research, Applied Mathematics, Industrial Engineering, or another quantitative field.
• Experience in transportation, mobility, logistics, or other operational planning domains.
• Experience tuning large-scale combinatorial or constraint-based optimization models.
• Familiarity with demand forecasting or pricing-related models.
• Knowledge of queue-based or task-based architectures.
• Experience with CI/CD pipelines and quality gates for analytical services.
• Familiarity with data privacy and compliance considerations in operational data.
• Exposure to additional ML techniques relevant to planning and optimization systems.

Responsibilities:

• Design and implement optimization solutions for complex planning scenarios.
• Translate business and operational requirements into mathematical models, constraints, and objective functions.
• Develop and maintain production-grade Python modules, services, and integrations.
• Validate, test, debug, and improve optimization and data-processing workflows.
• Profile and improve model correctness, performance, and solution quality.
• Collaborate with engineering, product, and business stakeholders to clarify requirements and refine solutions.
• Document algorithms, assumptions, and technical decisions in a clear and structured way.
• Continuously improve modeling approaches, methodologies, and engineering practices.

Ascendix offers you:

Healthcare:

• 20 paid vacation
• 5 paid sickness

Career and professional growth:

• B2B and remote cooperation
• Career development and professional growth
• Technical performance reviews and 360 Evaluation
• Collaboration with a personal Direct Manager, Technical leads, and mentors

Learning and Development:

• Udemy and Pluralsight subscription
• Internal knowledge-sharing opportunities

Corporate spirit:

• Online and offline events & team-buildings
• Friendly and supportive atmosphere
• Open management