Senior Data Scientist

DOU Polska; Wrocław; Híbrido; PLN 150.000 - 320.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work options

Medical insurance

Annual corporate events

English language courses

Internal knowledge-sharing sessions

Descripción de la vacante

DOU Polska is seeking a Senior Data Scientist to design and implement advanced data models and ML solutions that optimize sales, marketing, pricing, and overall commercial performance. You will help transition from descriptive analytics to data-driven decision making in a leading American publishing house.

The role requires 5+ years in data science, strong Python/SQL skills, and experience with Snowflake/Databricks.

Formación

• Bachelor’s or Master’s degree in Data Science, CS, Engineering, Statistics or related field.
• 5+ years of experience in data science roles.
• Strong experience applying data science and ML to business problems (sales, marketing, pricing, demand forecasting).
• Proficient in Python and SQL for data analysis and ML.
• Experience with modern data warehouses/lakehouses (Snowflake/Databricks/BigQuery).
• Fluent in English with excellent communication skills.

Responsabilidades

• Design, develop, and implement advanced data models and ML algorithms for complex problems in publishing.
• Analyze sales, marketing, customer, product, and pricing data to identify opportunities.
• Develop data-driven approaches for demand forecasting, customer behavior, and pricing optimization.
• Translate ambiguous business challenges into analytical and ML solutions.
• Collaborate with business and tech stakeholders to deliver actionable insights.
• Build and maintain scalable data pipelines using Snowflake and DBT.
• Leverage Python and SQL for model development, experimentation, and automation.
• Advance the organization from descriptive to predictive analytics.

Conocimientos

Python

SQL

Machine Learning

Data Modeling

English Communication

Educación

Bachelor's or Master's in Data Science / CS

Herramientas

Snowflake

Databricks

BigQuery

Scikit-learn

PyTorch

Descripción del empleo

Location

Remote: Argentina / Brazil / Colombia / Poland / Spain / Portugal / Romania

About The Role

We are looking for a highly skilled Senior Data Scientist to join our team. As a Senior Data Scientist, you will be responsible for designing and implementing advanced data models, analyzing complex business problems, and developing solutions that help optimize sales, marketing, pricing, and overall commercial performance in a leading American publishing house. The role will contribute to the transition from primarily descriptive analytics toward more advanced, data-driven decision making.

Skills & Experience

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field;
• 5+ years of experience in data science roles;
• Strong experience applying data science and machine learning to business problems, ideally in areas such as sales, marketing, customer behavior, demand forecasting, or pricing optimization;
• Proficient in Python and SQL for data analysis, scripting, and machine learning;
• Proficient in using agentic coding tools like Claude Code, Codex, Cursor
• Experience with SciKit-learn, Pytorch, and similar machine learning frameworks for building and deploying machine learning models;
• Experience working with modern data warehouses/lakehouses like Snowflake, Databricks, BigQuery, Redshift
• Strong analytical and problem-solving skills, with the ability to translate ambiguous business problems into data-driven solutions;
• Ability to work independently and collaborate with business and technical stakeholders;
• Fluent in English and excellent communication skills.

Nice to have

• Strong background in data science, with extensive experience in leveraging advanced analytics and machine learning to drive data-driven business decisions.

Responsibilities

• Design, develop, and implement advanced data models and machine learning algorithms to solve complex problems in the publishing domain, like author discovery;
• Analyze sales, marketing, customer, product, and pricing data to identify opportunities and support business decisions;
• Develop data-driven approaches to areas such as demand forecasting, customer behavior, sales optimization, marketing effectiveness, and pricing;
• Work with business stakeholders to understand broad or ambiguous business challenges and translate them into analytical and machine learning solutions;
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights and recommendations;
• Build and maintain scalable data pipelines using technologies such as Snowflake, and DBT;
• Leverage Python and SQL for data analysis, model development, experimentation, and automation;
• Utilize SciKit-learn, Pytorch and similar frameworks for developing and deploying machine learning models;
• Help evolve the organization from descriptive analytics toward predictive and prescriptive analytics and data-driven decision making;
• Stay current with emerging trends and technologies in data science and machine learning.

Work

• Flexible working hours;
• Collaborative, friendly team environment;
• Remote/Hybrid work;

Life

• Company social events;
• Annual corporate parties;

Health

• Comprehensive medical insurance;

Education

• Allowances for professional education;
• English language courses with native speakers;
• Internal knowledge-sharing sessions.