About the Role
This position supports data analysis, model development, and reporting initiatives using programming and statistical methods to extract insights from complex datasets.
Responsibilities
- Analyze structured and unstructured data to identify patterns and trends
- Develop and validate predictive models using statistical techniques
- Collaborate with engineering and business teams to define project goals
- Write clean, maintainable code in Python or R for data processing
- Transform raw data into actionable insights for stakeholders
- Create visualizations to communicate findings effectively
- Support the deployment of machine learning models into production
- Participate in code reviews and technical discussions
- Document methodologies and model performance metrics
- Stay current with advancements in data science and machine learning
Nice to Have
- Master’s degree in a quantitative discipline
- Experience with cloud platforms such as AWS, GCP, or Azure
- Exposure to big data technologies like Spark or Hadoop
- Coursework or projects involving natural language processing or deep learning
- Internship or academic project involving end-to-end data science workflows
Compensation
Competitive salary and benefits package offered
Work Arrangement
Hybrid work model with office and remote options
Team
Collaborative data science team within a technology-driven organization
Professional Development
- Opportunities for mentorship, training, and career growth are integrated into the role
- Access to workshops and conferences to support technical skill development
- Structured onboarding to transition smoothly into the team
Application Process
- Candidates must submit a resume and a cover letter outlining relevant experience
- Shortlisted applicants will complete a technical assessment
- Final stage includes interviews with team members and hiring managers
Sponsorship available for qualified candidates
