Data Scientist - AI & Scalable Analytics Solutions; f​/m

Position: Data Scientist - AI & Scalable Analytics Solutions (f/m)
Location: Town of Poland

## Data Scientist - AI & Scalable Analytics Solutions (f/m)
Apply locations:
Centrum, PLtime type:
Full time posted on:
Posted 8 Days Agojob requisition :
JR111979##
*
* About The Role:

** This role function is to help the organization scale and standardize how analytical and AI capabilities are developed, deployed, and maintained. The ideal candidate not only builds high-quality models but takes ownership of ensuring those models move into active use and continue delivering value over time. They are passionate about turning one-time analyses into repeatable, organization-wide solutions and developing tools and applications that put data-driven capabilities directly in the hands of business users.

They partner closely with BI, IT, and business stakeholders to embed data-driven decision-making durably into day-to-day operations.
*
* What You Will Do:

*** Develop Predictive Models:
Designs and implement statistical models and machine learning algorithms to analyze complex datasets and generate actionable insights.
* Data Processing and Management:
Collects, cleanses, and organizes large-scale data from various sources to ensure accuracy and reliability for analysis.
* Communicate Analytical Findings:
Presents complex data insights and technical information to stakeholders in a clear and understandable manner, facilitating informed decision-making.
* Standardize Analytical Processes:
Supports the development of consistent, repeatable workflows for data preparation, model development, and reporting to improve quality and reduce duplication of effort across the team.
* Scale Data Solutions:
Assists in transitioning analytical work from one-off analyses to scalable, reusable solutions that can be applied across multiple business areas or sites.
* Support Model Deployment:
Assists in moving developed models from experimentation into operational use, ensuring outputs are accessible and actionable for business stakeholders.
* Document & Maintain Work Products:
Maintains clear documentation of models, data processes, and analytical approaches to support knowledge sharing, continuity, and ongoing improvement.
* Develop Business-Facing Tools & Applications:
Builds lightweight applications and interactive tools that make model outputs and analytical capabilities accessible and usable by non-technical business users.
* Translate Requirements into Working Solutions:
Works with business stakeholders to understand their needs and converts those requirements into functional, user-ready data products.
* Support Tool Maintenance & Iteration:
Maintains and improves existing tools and applications based on user feedback and changing business needs, ensuring solutions remain accurate and relevant over time.##
*
* What You Will Need:

*** Data Analysis:
Proficient in analyzing large and complex datasets to identify trends and derive actionable insights.
* Statistical Modeling:
Expertise in developing and applying statistical models to support business decision-making processes.
* Machine Learning:
Skilled in designing, implementing, and evaluating machine learning algorithms for predictive analytics.
* Programming:
Advanced proficiency in programming languages such as Python and R for data manipulation and analysis.
* Data Visualization:
Ability to create clear and informative visualizations using tools like Tableau, Power BI, or matplotlib.
* Communication:
Effectively conveys complex data findings to non-technical stakeholders in a clear and understandable manner.
* Business Acumen:
Understands key business drivers and aligns data science projects with organizational goals and strategies.
* Data Management:
Knowledgeable in data warehousing, data cleaning, and database management to ensure data integrity and accessibility.
* Process Standardization:
Ability to develop and follow consistent, repeatable approaches to data preparation, analysis, and model development that improve team efficiency and output quality.
* Scalability Awareness:
Understanding of how to design analytical solutions that can grow with the business, moving beyond one-time analyses toward reusable, maintainable work products.
* Cross-Functional Integration & Partnership:
Abi…