About the Role
The role involves transforming raw data into actionable insights using statistical analysis and machine learning. Candidates will work closely with cross-functional teams to identify business challenges and develop scalable data solutions.
Responsibilities
- Collect and process large volumes of structured and unstructured data
- Perform exploratory data analysis to identify patterns and trends
- Design and implement machine learning models for forecasting and classification
- Collaborate with engineering teams to integrate models into production systems
- Evaluate model performance using appropriate metrics and validation techniques
- Create data visualizations to communicate findings to non-technical stakeholders
- Maintain data pipelines for consistent and reliable data access
- Ensure data quality and integrity across sources
- Support A/B testing initiatives to measure product changes
- Translate business requirements into analytical frameworks
- Document methodologies and model assumptions clearly
- Stay current with advancements in data science and machine learning
- Optimize existing analytical processes for efficiency
- Assist in defining key performance indicators for business units
- Contribute to the development of data governance policies
Nice to Have
- Master’s degree in a relevant technical discipline
- Prior experience in agile development environments
- Exposure to natural language processing tasks
- Track record of deploying models in production settings
- Familiarity with containerization tools like Docker
- Knowledge of MLOps practices and model monitoring
- Experience in the technology services industry
- Understanding of data privacy regulations and compliance
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible hours
Team
Collaborative team of analysts, engineers, and product specialists
What We Offer
- Opportunities for professional development and training
- Health, dental, and vision insurance coverage
- Retirement savings plan with employer contribution
- Paid time off and company-observed holidays
- Employee wellness programs and mental health support
Application Process
- Submit resume and cover letter through online portal
- Initial screening by recruitment team
- Technical assessment involving data analysis tasks
- Virtual interview with hiring manager and team members
- Final decision communicated within two weeks of final interview
Available for qualified candidates
