Sowelo Consulting is hiring a
Data Scientist

Summary

Join a fast-growing, agile international consulting firm as a Data Scientist to design and implement predictive models and data-driven strategies.

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, and similar tools
• 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

Responsibilities

• 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

Benefits

• Permanent contract collaboration
• Agile Environment
• Flexible schedule while maintaining a healthy work-life balance
• Fully remote work