About the Role
This role supports data analysis and modeling initiatives across business units, enabling data-informed decision-making through statistical methods and machine learning techniques.
Responsibilities
- Assist in collecting and organizing large datasets from multiple sources.
- Perform data cleaning and preprocessing to ensure data quality.
- Support the development of predictive models using statistical and machine learning approaches.
- Conduct exploratory data analysis to identify patterns and trends.
- Collaborate with team members on model validation and testing procedures.
- Document analytical processes and model performance metrics.
- Translate technical findings into clear summaries for non-technical stakeholders.
- Utilize programming tools for data manipulation and automation.
- Participate in team meetings to discuss project goals and progress.
- Stay current with advancements in data science methodologies.
- Support the deployment of models into production environments.
- Contribute to data visualization efforts for reporting purposes.
- Work with structured and unstructured data formats.
- Apply version control practices to analytical code.
- Follow data governance and security protocols.
- Assist in defining key performance indicators for business metrics.
- Engage in peer review of analytical approaches.
- Support ad hoc analytical requests from business teams.
- Use cloud-based platforms for data storage and computation.
- Participate in training sessions and professional development activities.
Nice to Have
- Prior internship or research experience in data science.
- Coursework in machine learning or statistical modeling.
- Experience with big data frameworks such as Spark.
- Portfolio of data science projects or GitHub contributions.
- Knowledge of A/B testing methodologies.
- Familiarity with containerization tools like Docker.
- Experience presenting findings to stakeholders.
- Exposure to natural language processing techniques.
Compensation
Competitive salary and benefits package offered.
Work Arrangement
Hybrid work model with flexibility based on team needs and location.
Team
Collaborative environment within a data-driven division focused on analytical solutions.
What We Look For
We seek candidates with analytical curiosity, a strong foundation in quantitative reasoning, and a passion for transforming data into insights. Ideal applicants demonstrate initiative, adaptability, and a collaborative mindset.
Growth Opportunities
This role offers structured mentorship, access to training resources, and opportunities to take on increasing responsibility as skills develop.
Visa sponsorship may be available for qualified candidates.
