Data Scientist @

5 dni temu

Kraków, Lesser Poland Numlabs Pełny etat
Job Description:

Seniority: 4+ years of relevant experience

Responsibilities:

- Developing and deploying predictive models for e-commerce applications (e.g., product recommendations, demand forecasting, customer segmentation).
- Designing and implementing data models to support business analysis. Analyzing large datasets to identify patterns and trends.
- Conducting A/B tests and evaluating their results. Building tools to facilitate data analysis and visualization.
- Collaborating closely with business teams and data engineers to effectively implement solutions. Documenting created solutions and monitoring their performance.

Requirements:

- Minimum 4 years of experience as a Data Scientist, focusing on predictive analytics and e-commerce.
- Experience in data modeling and designing data structures to support business analyses.
- Proficiency with statistical methods, machine learning algorithms, and data modeling techniques.
- Advanced knowledge of Python and ML libraries such as scikit-learn, XGBoost, LightGBM, Pandas, and NumPy.
- Experience working with large datasets and databases (e.g., PostgreSQL, BigQuery, Snowflake).
- Familiarity with cloud platforms (GCP preferred).
- Ability to design and deploy models in production environments.
- Experience analyzing data using SQL.

Remote vs Onsite: Fully Remote

Salary: 100 - 180 PLN/hour B2B

Formal requirements

- Minimum 4 years of experience as a Data Scientist, focusing on predictive analytics and e-commerce.
- Experience in data modeling and designing data structures to support business analyses.
- Proficiency with statistical methods, machine learning algorithms, and data modeling techniques.
- Advanced knowledge of Python and ML libraries such as scikit-learn, XGBoost, LightGBM, Pandas, and NumPy.
- Experience working with large datasets and databases (e.g., PostgreSQL, BigQuery, Snowflake).
- Familiarity with cloud platforms (GCP preferred).
- Ability to design and deploy models in production environments.
- Experience analyzing data using SQL.

Good to have

- Experience with data visualization tools (e.g., Tableau, Power BI) and A/B testing..

Job Description:

Seniority: 4+ years of relevant experience

Responsibilities:

- Developing and deploying predictive models for e-commerce applications (e.g., product recommendations, demand forecasting, customer segmentation).
- Designing and implementing data models to support business analysis. Analyzing large datasets to identify patterns and trends.
- Conducting A/B tests and evaluating their results. Building tools to facilitate data analysis and visualization.
- Collaborating closely with business teams and data engineers to effectively implement solutions. Documenting created solutions and monitoring their performance.

Requirements:

- Minimum 4 years of experience as a Data Scientist, focusing on predictive analytics and e-commerce.
- Experience in data modeling and designing data structures to support business analyses.
- Proficiency with statistical methods, machine learning algorithms, and data modeling techniques.
- Advanced knowledge of Python and ML libraries such as scikit-learn, XGBoost, LightGBM, Pandas, and NumPy.
- Experience working with large datasets and databases (e.g., PostgreSQL, BigQuery, Snowflake).
- Familiarity with cloud platforms (GCP preferred).
- Ability to design and deploy models in production environments.
- Experience analyzing data using SQL.

Remote vs Onsite: Fully Remote

Salary: 100 - 180 PLN/hour B2B

,[ Developing and deploying predictive models for e-commerce applications (e.g., product recommendations, demand forecasting, customer segmentation). , Designing and implementing data models to support business analysis. Analyzing large datasets to identify patterns and trends. , Conducting A/B tests and evaluating their results. Building tools to facilitate data analysis and visualization. , Collaborating closely with business teams and data engineers to effectively implement solutions. Documenting created solutions and monitoring their performance.] Requirements: Data science, Python, AI, Machine learning, SQL, Predictive Analyticts, E-commerce, pandas, NumPy, Cloud, scikit-learn, GCP, PostgreSQL, BigQuery, Snowflake Additionally: Sport subscription, Small teams, International projects, Free coffee, Shower, No dress code.

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