Data Scientist / ML Consultant

Algolytics develops the platform Scoring.One and solutions in the areas of AutoML, MLOps, Feature Store, real-time decisioning, credit risk, antifraud, and customer intelligence. The company focuses on building production-ready models and analytics products serving enterprise clients.

• Minimum 5 years of experience in Data Science, Machine Learning, data modeling, or analytical projects.
• Very good knowledge of Python and SQL.
• Solid foundations in statistics, machine learning, data mining, and model validation.
• Experience in consulting, implementation projects, or projects delivered to business recipients.
• Ability to independently analyze business problems and propose analytical approaches.
• Experience in data preparation for ML, feature engineering, and model testing.
• Communication skills for working with business and collaboration with development teams.
• English language proficiency for working with documentation and project communication.
• Higher education, preferably in computer science, mathematics, quantitative methods, econometrics, statistics, computational physics, or related fields.

Nice to have:

• Experience in credit risk modeling, scoring, fraud detection, or the FinTech sector.
• Knowledge of MLOps, Feature Store, AutoML, MLflow, Databricks, Snowflake, Azure ML, AWS SageMaker or similar.
• Experience with very large datasets.
• Familiarity with SAS, R, SPSS/IBM Modeler, KNIME, RapidMiner, Statistica, or other analytical tools.
• Knowledge of Java/Groovy or experience in creating production components.
• Experience with REST API, SOAP, system integrations, or deploying models as services.
• Knowledge of NLP, LLM, generative AI, image analysis, or sensor/IoT data.
• Willingness to share knowledge via conferences, webinars, training, publications, or academic activity.

• Building and prototyping predictive models for clients in the financial, telecommunications, e-commerce, retail, and services sectors.
• Creating solutions in credit risk, antifraud, customer intelligence, churn, response modelling, recommendations, behavioral segmentation, and transactional data analysis.
• Preparing data for modeling, including data analysis, feature engineering, quality validation, and building training and testing datasets.
• Deploying models and decision logic in production environments using the Scoring.One platform.
• Participating in R&D projects related to AutoML, MLOps, Feature Store, real-time scoring, LLM/NLP, and automation of analytical processes.
• Collaborating with business clients to analyze needs, translate business problems into analytical solutions, and present results and recommendations.
• Working with the development team to enhance analytical product functionalities.
• Testing, validating, and monitoring the quality of models and decision rules.
• Preparing dedicated procedures, components, and functional extensions for the Algolytics platform.

The data controller is Algolytics Technologies based in Warsaw. Candidates have rights to access, rectify, delete, or limit processing of their personal data. Processing is for recruitment purposes and subject to applicable laws. Providing data required by labor law is mandatory; other data is voluntary. Data is processed until recruitment ends or for claims, with optional consent for future recruitments. Consent can be withdrawn anytime. Data recipients include Rocket Jobs and related processors.