Data Scientist

October 9

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Sowelo Consulting sp. z o.o. sp. k.

Recruitment Process Outsourcing • Executive Search • Employer Branding • Headhunting • Direct Search

11 - 50

Description

• Extract, clean, and preprocess large datasets from various sources like databases, APIs, and external platforms. • Perform exploratory data analysis (EDA) to identify trends, insights, and relationships within data. • Develop, train, and validate machine learning models for both predictive and prescriptive analytics. • Utilize advanced statistical and machine learning techniques, including regression, classification, clustering, and time series analysis. • Enhance model performance, scalability, and accuracy with hyperparameter tuning, feature engineering, and ensemble methods. • Deploy models in production while ensuring their accuracy and performance through continuous monitoring and enhancement. • Employ A/B testing, experimentation, and model interpretability methods to evaluate model impact. • Create automated pipelines for data extraction, preprocessing, and modeling. • Contribute to enhancing data infrastructure and developing scalable machine learning pipelines.

Requirements

• Minimum of 3 years experience in Data science or a related field. • Experience in analyzing large and complex datasets to uncover trends, patterns, and insights. • Experience in developing and implementing predictive models and algorithms. • Strong analytical thinking with the ability to approach problems creatively and pragmatically. • Experience with ensuring data science projects align with technical standards and business objectives. • Advanced coding skills in Python or R, with experience using libraries such as pandas, scikit-learn, TensorFlow, PyTorch. • Proficient with SQL and NoSQL databases for effective data retrieval, manipulation, and storage. • Practical experience with both supervised and unsupervised machine learning algorithms and statistical modeling techniques. • Skilled in using tools like Matplotlib, Seaborn, Plotly, as well as BI platforms such as Tableau or Power BI. • Familiarity with cloud services like AWS, GCP, Azure, and distributed computing systems such as Hadoop and Spark is an advantage. • Strong analytical skills with the ability to tackle challenges creatively and pragmatically.

Benefits

• Permanent contract collaboration. • Agile Environment. • Opportunity for self development while working in a flexible schedule. • Healthy work-life balance. • Fully remote position in a stable, multinational company.

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