About the position

We are seeking a passionate Data Scientist to join our analytics team. In this role, you will leverage data to drive business decisions and inform strategic initiatives. You will be responsible for analyzing large datasets, developing predictive models, and presenting insights to stakeholders. The ideal candidate will have a strong background in statistical analysis, machine learning, and data visualization techniques.

As a Data Scientist, you will collaborate with cross-functional teams to identify opportunities for leveraging data to drive operational improvements. You will play a key role in transforming raw data into actionable insights that can enhance our products and services, leading to increased customer satisfaction and business growth.

Key Responsibilities:
  • Analyze complex datasets to identify trends, patterns, and insights.

  • Develop and implement machine learning models to support business objectives.

  • Create data visualizations and dashboards to communicate findings to stakeholders.

  • Collaborate with engineering and product teams to integrate data-driven solutions into applications.

  • Stay current with industry trends and advancements in data science and analytics.

Required Qualifications:
  • Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • 3+ years of experience in data analysis or data science roles.

  • Proficiency in programming languages such as Python or R, and experience with SQL.

  • Strong understanding of machine learning algorithms and statistical modeling techniques.

  • Excellent communication skills, with the ability to present complex information in a clear and concise manner.

How to apply

If you are excited about using data to drive business success and thrive in a collaborative environment, we’d love to hear from you! Please submit your resume and a portfolio of your work to [email@example.com].

Gleam is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.