Data Scientist - Forecasting, Causality & Production ML

Lingaro; Polska; On-site; PLN 90,000 - 150,000; Full time

Job summary

Lever, Inc. in Poland is seeking an experienced data scientist to build ML solutions for forecasting and customer analytics, turning business problems into data-driven production models.

You will work closely with business stakeholders to frame problems and define success metrics. The role emphasizes end-to-end modeling, feature engineering, model validation, and deployment support, with opportunities for senior-level pre-sales involvement.

Qualifications

• Commercial experience with various classical data science and ML models (e.g. decision trees, ensemble-based tree models, linear regression).
• Solid knowledge of customer analytics concepts or advanced forecasting.
• Model hyperparameter tuning.
• Model validation frameworks.
• Experience translating business requirements into technical plans, data processing, feature engineering, and model evaluation.
• Previous analytical-role experience supporting business is a plus.
• Fluency in Python, basic working knowledge of SQL.
• Knowledge of DS/ML libraries.
• Solid experience in one cloud platform (Databricks or GCP or Azure).

Responsibilities

• Work on end-to-end classification and forecasting use cases: framing, data prep, model development, evaluation, and basic deployment support.
• Explore and clean data; perform EDA to understand data and flag quality issues.
• Engineer features for tabular and time-series data.
• Train, validate, and tune standard ML models (e.g. logistic regression, tree-based models, gradient boosting, simple neural nets, classical time-series models).
• Evaluate models with metrics tied to business KPIs.
• Build visualizations and reports to present results to stakeholders.
• Collaborate with data/environment engineers to deploy models (batch scoring, APIs, monitoring).
• Document data sources, assumptions, and experiments in notebooks/reports/wikis.
• Translate business problems into technical goals and define success metrics.
• Pre-sales activities at senior consultant level.

Skills

Python

SQL

ML modeling

Forecasting

Feature engineering

MLOps

Data visualization

R

Education

Bachelor's degree in CS/Math/Statistics

Master's preferred

Tools

Databricks

GCP

Azure

scikit-learn

PyTorch

Job description

Lever, Inc. in Poland is seeking an experienced data scientist to build ML solutions for forecasting and customer analytics, turning business problems into data-driven production models.

You will work closely with business stakeholders to frame problems and define success metrics. The role emphasizes end-to-end modeling, feature engineering, model validation, and deployment support, with opportunities for senior-level pre-sales involvement.