Xapotech Systems is looking for Data Science Developer to join our dynamic team and embark on a rewarding career journey
We are seeking a skilled and motivated Data Science Developer to join our dynamic team
The ideal candidate will have a strong background in data science, machine learning, and software development
As a Data Science Developer, you will be responsible for designing, developing, and implementing data-driven solutions that contribute to the success of our organization
You will work closely with cross-functional teams to understand business requirements and translate them into actionable insights and scalable data solutions
Key Responsibilities:
Data Analysis and Exploration:Utilize statistical methods and machine learning techniques to analyze large datasets
Perform exploratory data analysis to uncover trends, patterns, and insights
Collaborate with business stakeholders to understand data requirements and objectives
Algorithm Development:Design, develop, and implement machine learning algorithms and models
Fine-tune and optimize models for performance and scalability
Stay current with industry trends and advancements in data science and machine learning
Programming and Software Development:Develop software applications and tools to support data science initiatives
Use programming languages such as Python, R, or Java to build scalable and efficient solutions
Collaborate with software engineers to integrate data science models into production systems
Data Preprocessing and Cleaning:Clean and preprocess raw data to prepare it for analysis and modeling
Handle missing data and outliers effectively
Ensure data quality and integrity throughout the data science pipeline
Model Deployment and Integration:Deploy machine learning models to production environments
Collaborate with IT and DevOps teams to integrate models into existing systems
Monitor and maintain deployed models, ensuring ongoing accuracy and performance
Documentation and Communication:Document code, algorithms, and methodologies for knowledge sharing
Communicate findings and insights to both technical and non-technical stakeholders