---
title: Data Science Engineer
company: Ascendix
category: Data Science
subcategory: Data Science
experience_level: Regular
work_mode: remote
location: Warszawa
employment_type: B2B
salary_min: 26000
salary_max: 29700
salary_currency: PLN
salary_period: month
technologies: [Data science, ML, Python, NumPy, pandas]
posted: 2026-03-17
valid_through: 2026-05-18
url: "https://solid.jobs/offer/30484/ascendix-data-science-engineer"
---

# Data Science Engineer — Ascendix

## Kluczowe informacje

- **Firma:** Ascendix
- **Lokalizacja:** Kosareva 34, Warszawa
- **Tryb pracy:** 100% zdalnie
- **Wynagrodzenie:** 26.0k–29.7k PLN netto/m (B2B)
- **Forma zatrudnienia:** B2B
- **Wymiar etatu:** 100%
- **Godziny pracy:** Elastyczne godziny pracy
- **Poziom doświadczenia:** Regular
- **Minimalne doświadczenie:** 5 mies.
- **Kategoria:** Data Science
- **Specjalizacja:** Data Science
- **Data publikacji:** 2026-03-17
- **Aktywne do:** 2026-05-18

## Technologie i umiejętności

**Wymagane:**

- Data science — ekspert
- ML — ekspert
- Python — zaawansowany
- NumPy — zaawansowany
- pandas — zaawansowany

## Języki

- Angielski — zaawansowany

## Opis stanowiska

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.

## Kogo szukamy

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 tuning large-scale combinatorial or constraint-based optimization models.    Familiarity with demand forecasting or pricing-related models.

## Benefity

**Szkolenia:**

- Budżet szkoleniowy
- Szkolenia wewnętrzne
- Klasy językowe

**Zdrowie:**

- Pakiet medyczny
- Pakiet sportowy

**B2B:**

- Płatny "urlop" dla B2B
- Płatne "chorobowe" dla B2B

## Lokalizacje

- Kosareva 34, Warszawa, Polska

## O firmie — Ascendix

**Wielkość firmy:** 200

**Strona WWW:** https://ascendixtech.com

Ascendix Technologies is a US-based software and services technology company with locations in Dallas, Texas and development centers and branch offices in Poland, Portugal, and Ukraine, and distributed teams all over Europe, as we cooperate remotely since 2020. We are a community of professionals committed to delivering second-nature solutions globally to digitize, optimize, and leverage processes. We specialize in building solutions for globally-focused businesses that look to leverage cloud computing, and commercial and open-source technologies for big data, search, applications, and cross-platform mobility. We have deep experience in Salesforce.com CRM platforms, and offer products, services, and productivity modules.

## Aplikuj

Aplikuj na: https://solid.jobs/offer/30484/ascendix-data-science-engineer

---

*Źródło: https://solid.jobs/offer/30484/ascendix-data-science-engineer · Wygenerowano: 2026-05-01T23:16:48Z*