Data Scientist (225-617)

As a Data Scientist, you will play a pivotal role in driving data-driven decision-making within our organization. You will be responsible for analyzing complex datasets, developing predictive models, and providing insights that will directly impact our strategic initiatives. Our ideal candidate has a strong background in statistics, machine learning algorithms, and data visualization techniques. You will collaborate closely with cross-functional teams to translate business needs into technical solutions and influence product development with data insights. Your ability to communicate complex data findings in layman's terms will be essential to your success. If you are passionate about leveraging data to drive significant business outcomes, we would love to hear from you.

Responsibilities

• Conduct detailed analyses to extract meaningful insights from large, complex datasets.
• Develop and optimize machine learning models to solve business problems effectively.
• Collaborate with product and engineering teams to identify new data-driven opportunities.
• Design and implement data modeling processes to create actionable insights.
• Communicate data findings and recommendations clearly to non-technical stakeholders.
• Ensure data quality and integrity through regular database maintenance and checks.
• Create visualizations and dashboards for tracking key data metrics over time.
• Conduct research to stay updated on the latest data science trends and technologies.
• Work with IT and business teams to integrate data science solutions into workflows.
• Test, validate and iterate models to improve accuracy and efficiency continually.
• Document methodologies, algorithms, and frameworks to maintain knowledge continuity.
• Mentor junior data scientists and provide guidance on data analysis techniques.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, or a related field.
• Proven experience in data manipulation and large dataset analysis tasks.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong understanding of statistical analysis and machine learning techniques.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Excellent problem-solving skills and ability to work in a collaborative team environment.
• Strong communication skills to effectively convey complex data insights to stakeholders.