Sony

About the Company

Sony's purpose is simple. We aim to fill the world with emotion, through the power of creativity and technology. We want to be responsible for getting hearts racing, stirring ambition, and putting a smile on the faces of our customers. That challenge, combined with our spirit of innovation, motivates us to create groundbreaking technology, entertainment, and services for people worldwide. Our history as a global brand has been built around employees that all have a passion for touching peoples' lives, and pride in pushing beyond the status quo to produce truly extraordinary results. We're uniquely positioned because we operate in many different industries - from movies and music to video games and electronics. And, with offices around the globe, we benefit from a global workforce that learns and grows together through mutual respect. If you're ready to join a diverse team at an innovation-led company with the power to change lives, then we encourage you to read up on the different Sony group companies and check out our Life page. Then, get in touch, and together, let's make the world say wow.

Listed Jobs

Company Name

Sony

Job Title

Associate Data Scientist

Job Description

**Job Title:** Associate Data Scientist **Role Summary:** Develop and implement information security risk analytics solutions for global corporate security. Translate complex datasets into actionable insights to support leadership decisions. Collaborate across teams to design, validate, and analyze data for predictive modeling and risk intelligence. **Expectations:** 1-2 years of data science/analytics experience (academic or professional). Bachelor’s degree in quantitative fields. Proficiency in SQL, Python/R. Applied statistics competency. **Key Responsibilities:** - Collaborate with cross-functional teams to frame data science problems. - Design, evaluate, and implement models for risk analytics with limited precedents. - Structure, validate, and analyze datasets to ensure analytical readiness. - Build predictive models and machine learning algorithms. - Generate statistical insights and data visualizations for stakeholder presentations. - Translate findings into actionable recommendations and improve decision-making. - Document processes and share knowledge across the team. **Required Skills:** - Relational databases (SQL), Python/R, programming/scripting. - Applied statistics (distributions, tests, regression). - Machine learning, statistical modeling, predictive analytics. - Data wrangling, EDA, data visualization (tools not specified). - Problem-solving, analytical thinking, and collaboration. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, or Data Science. - Certifications: None specified.

Reston, United states

Hybrid

Fresher

10-10-2025