Lead/Senior Data Scientist

Lingaro; Poland; On-site; PLN 191,164 - 297,366; Full time

Benefits offered by this job

Stable employment

Workation policy

Access to Udemy

Certificate training programs

Upskilling support

Modern office equipment

Job summary

Lingaro is seeking a professional in Poland to deliver business solutions using Machine Learning and Data Science. This role involves collaboration with business stakeholders to address their problems through innovative ML solutions.

The ideal candidate will have commercial experience with various ML models, solid knowledge in customer analytics, and be fluent in Python. The company offers stable employment, flexibility in working hours, and numerous upskilling opportunities within a diverse and inclusive community.

Qualifications

• Commercial experience with various classical data science models like decision trees and linear regression.
• Solid knowledge of customer analytics concepts or advanced forecasting.
• Experience transforming business requirements into technical plans.
• Fluency in Python and knowledge of specific DS/ML libraries.
• Solid experience in one of the cloud computing platforms.

Responsibilities

• Work on classification and forecasting use cases.
• Explore and clean data; perform EDA to understand data.
• Engineer features for tabular and time-series data.
• Train and tune standard ML models.
• Build visualizations and concise reports for stakeholders.

Skills

Commercial experience with data science and ML models

Solid knowledge of customer analytics

Fluency in Python

Basic working knowledge of SQL

Experience in analytical role

Tools

Databricks

GCP

Azure

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right—including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Our team is delivering business solutions with Machine Learning and Data Science often turning them into scalable platforms including non-trivial and innovative solutions in the space of Forecasting and Customer Analytics often leveraging cutting-edge Causality frameworks. Example projects in this area: Next Best Offer/Action, propensity modeling, churn modeling, forecasting of demand and sales, revenue growth management, etc. This role requires close collaboration with business stakeholders, and the ability to understand their problems and translate them into machine learning ones.

Tasks:

• Work on end-to-end classification and forecasting use cases: problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction).
• Explore and clean data; perform EDA to understand data and flag data 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 appropriate metrics that have impact on business KPIs.
• Build clear visualizations and concise reports to present model results and insights to business stakeholders.
• Collaborate with data engineers and AI engineers to bring models into production (batch scoring, APIs, models monitoring, dashboards).
• Document data sources, modeling assumptions, and experiment results in a reproducible way (notebooks, reports, wikis).
• Business understanding and translating problems into technical goals by defining success metrics, auditing data feasibility, and aligning stakeholder expectations.

Requirements:

Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.).

Solid knowledge of customer analytics concepts or advanced forecasting.

Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation.

Previous experience in an analytical role supporting business will be a plus.

Fluency in Python, basic working knowledge of SQL.

Knowledge of specific DS/ML libraries.

Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure).

What Will Set You Apart:

• Understanding of Causal machine learning.
• Experience in working with big data and distributed environments would be a plus.
• Commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus.
• Experience with OOP in Python.
• Experience with MLOps.
• Familiarity with other languages R, Scala would be a plus.

General:

• Basic computer programming skills and familiarity with programming concepts.
• Strong business acumen.
• Experience with deep learning, reinforcement learning or other advanced modeling concepts in Classical Data Science problems.
• Ability to come up with creative solutions to address customer problems.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

We offer:

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.

Workation. Enjoy working from inspiring locations in line with our workation policy.

Great Place to Work certified employer.

Flexibility regarding working hours and your preferred form of contract.

Comprehensive online onboarding program with a Buddy from day 1.

Cooperation with top-tier engineers and experts.

Unlimited access to the Udemy learning platform from day 1.

Certificate training programs. Lingarians earn 500+ technology certificates yearly.

Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

Grow as we grow as a company. 76% of our managers are internal promotions.

A diverse, inclusive, and values-driven community.

Autonomy to choose the way you work. We trust your ideas.

Create our community together. Refer your friends to receive bonuses.

Activities to support your well-being and health.

Plenty of opportunities to donate to charities and support the environment.

Modern office equipment. Purchased for you or available to borrow, depending on your location.