Data Scientist at NexoCode

NexoCode; Poland; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Paid days off

Flexible hours

Profit sharing

Private healthcare

Fully remote

Office access

Job summary

Nexocode is seeking a skilled ML/Data Scientist to advance language understanding and CV techniques on large, unstructured datasets. You will collaborate with fellow engineers to deploy models and analyze complex patterns across distributed systems.

The role requires a master’s degree in a STEM field, 3+ years in ML/data science, and fluency in English. Flexible work setup with on-site presence in Kraków or remote options may apply.

Qualifications

• Master’s degree in STEM or quantitative field.
• 3+ years experience in ML/data mining or statistical modeling.
• Strong Python and PyData stack skills.
• Background in high-dimensional models, regression, clustering, recommender systems, time-series, or CV.
• Experience with large datasets on distributed clusters.
• Ability to prototype quickly and iterate to production-ready solutions.
• Scientific mindset and ability to break research into tasks.
• Team player with clear communication; familiar with Agile/Lean.
• Fluency in English.

Responsibilities

• Implement Novel language understanding and CV techniques.
• Analyze multi-dimensional unstructured data to find patterns.
• Collaborate with engineers to integrate models into the system.
• Communicate results clearly to stakeholders and customers.
• Share knowledge on challenges and solutions encountered.
• Utilize data analysis and visualization tools (pandas, seaborn, Plotly).
• Leverage Spark, Docker, Kubernetes, SQL, and data warehouses.
• Work with ML frameworks such as TensorFlow, PyTorch, scikit-learn.

Skills

3+ years experience (ML/data mining)

Python & PyData stack

Statistical modeling

High-dimensional models / ML theory

Distributed data processing

Prototyping & rapid iteration

Scientific mindset

Task decomposition & planning

Team player & communication

Agile & lean

Fluency in English

Education

Master’s degree in STEM or quantitative field

Tools

Python

Docker

Kubernetes

Spark / PyData stack

SQL / data viz tools

Job description

This Full time on site position offers great opportunities for career growth.

Why us? We believe that software development is a team sport. This is why we hire for culture and the team spirit. Your technical expertise matters a lot as well. We don’t have hierarchies or layers. No matter what your role is, we all have a saying and a part to play. Everyone at nexocode shares their ideas freely. The teams are empowered to design the solutions and decide on the technology they need to be successful. Joining our team means you have the imagination and the know-how to bring true creativity to your role, be it development, devops or design. We are a Teal Company Take an insider's look into nexocode organization culture and our path towards the teal structure. We're committed to fostering growth and open communication with all employees so that everyone feels like they belong and can thrive in their work environment. We all want to work with people without any barriers and have an opportunity for success. But what does it really mean for the organization's culture?

• General Employment Type B2B
• Invoice Salary (B2B) + VAT
• Salary (Permament) Gross
• Project Team Size
• Workload full time
• Office Hours flexible
• Remote Possible full time
• zdalnie, PL.

Your Key Skills

• At least a Master’s degree in STEM fields (science, technology, engineering, or mathematics) or a similarly quantitative field.
• 3+ years experience, or a comparable industry career, with machine learning, data mining, or statistical modeling.
• Working knowledge of Python and the PyData stack or other numerical programming languages.
• Theoretical background on at least a few among high-dimensional classifiers, regression models, clustering algorithms, recommender systems, time-series analysis, Bayesian inference, text analytics, knowledge graphs, representation learning (embeddings), computer vision, or social network analysis.
• Experience analyzing massive datasets on a distributed cluster of machines (map/reduce or other parallel computing frameworks)
• Ability to prototype and test suboptimal solutions quickly and iterate up to a final product that can be deployed in production
• A scientific mentality with the ability to ask the right questions, as well as answer them
• Ability to break research down into clearly defined tasks and quick iterations
• Team player attitude and clear communications skills
• Familiarity with agile development and lean principles
• Fluency in English

Responsibilities

• Implement novel techniques of language understanding, CV, etc.
• Explore and analyze multi-dimensional and unstructured data to find patterns and relationships
• Work with fellow engineers to integrate models and algorithms with the more extensive system
• Effective communication of results and storytelling with the dataCommunicating with customers to gather requirements
• Sharing knowledge about the challenges and solutions encountered
• Big + Fluency in some of the data analysis and visualization tools such as pandas, dask, vaex, matplotlib, seaborn, plotly, dash, bokeh, shap, streamlit.
• Fluency in some of the data engineering technologies such as Spark, DataBricks, Glue, EMR, Docker, Kubernetes, SQL, key-value stores, Redshift, Snowflake.
• Fluency in some of the ML technologies such as AWS SageMaker, Tensorflow Extended, PyTorch, Spark ML, scikit-learn, XGBoost, KubeFlow, MLFlow, or related frameworks.
• Being active in the community (self-development, GitHub projects, blog posts, Eurostaffs, Twitter)

Perks & Benefits

• New Horizons Programme 24 paid days per year you can spend pursuing your own ideas and projects. With the support of your peer mentor.
• Flexible Hours For early birds and night owls. We trust you to know your schedule and work when you feel most productive.
• Income from company profits We all work hard for the success of our company, therefore each team member has a share in nexocode’s monthly profits.
• Private Healthcare Your health and wellbeing is very important to us. So, we’ve got you covered with an extensive medical plan.
• Fully Remote You can work from Warsaw, Bali, Stockholm or your grandmother’s yard – wherever you feel best.
• Office access 24/7 If you prefer working from dedicated space, nexocode’s headquarters in Kraków are available to you at all times.