Responsibility :

• Analyze large datasets to uncover trends, patterns, and insights that drive business decisions.
• Build and implement machine learning models and algorithms to improve processes and predictive capabilities.
• Clean, preprocess, and validate data from multiple sources to ensure accuracy and reliability.
• Collaborate with cross-functional teams including product, engineering, and marketing to understand data needs and deliver impactful solutions.
• Communicate complex data insights and findings to both technical and non-technical stakeholders.
• Continuously monitor model performance and fine-tune algorithms as needed..
• Develop and maintain automated reporting systems for key business metrics.
• tay up to date with the latest data science trends, tools, and techniques.

Requirements :

• 4 years of professional experience in data science or a related field.
• Strong proficiency in Python, R, or similar programming languages.
• Experience with machine learning libraries such as TensorFlow, scikit-learn, Keras, or PyTorch.
• Experience working with relational databases (e.g., SQL) and big data technologies (e.g., Hadoop, Spark).
• Solid understanding of statistical analysis and hypothesis testing.
• Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure).
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience with data visualization tools such as Tableau, Power BI, or similar is a plus.

Preferred Qualifications :

• Experience with Deep Learning and Natural Language Processing (NLP).
• Familiarity with ETL processes and data pipelines.
• Experience with containerization (Docker, Kubernetes) and deployment of models into production.
• Advanced degree in Data Science, Statistics, Computer Science, or a related field.

To apply this job, please share your resume at info@softventures.llc