Data Scientist
 Commercial Metals
US
11 days ago
Job Description
Job Title: Data ScientistLocation: California, USAEmployment Type: Full-TimeAbout Us:Join a forward-thinking organization that values innovation, collaboration, and continuous learning. We are committed to fostering a diverse and inclusive workplace where employees are empowered to grow and make a real impact. Our company offers competitive compensation, comprehensive benefits, flexible work arrangements, and a culture that supports professional development and work-life balance.Job Summary:We are seeking a highly motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will work closely with cross-functional teams to extract insights from complex datasets and drive data-driven decision-making across the organization.Key Responsibilities:- Analyze large and complex datasets to identify trends, patterns, and actionable insights.- Develop, implement, and optimize machine learning models and algorithms.- Collaborate with engineering, product, and business teams to define data requirements and deliver solutions.- Communicate findings and recommendations to stakeholders through clear visualizations and reports.- Stay current with industry trends, tools, and best practices in data science and analytics.Required Qualifications:- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.- Proven experience (2+ years) as a Data Scientist or in a similar analytical role.- Proficiency in Python or R, and experience with data analysis libraries (e.g., pandas, NumPy, scikit-learn).- Strong understanding of statistical modeling, machine learning, and data mining techniques.- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).- Excellent problem-solving skills and attention to detail.- Strong communication and collaboration skills.Preferred Qualifications:- Experience working with big data technologies (e.g., Spark, Hadoop).- Familiarity with cloud platforms (AWS, GCP, Azure).- Advanced degree (PhD) is a plus.Benefits:- Competitive salary and performance-based bonuses- Comprehensive health, dental, and vision insurance- Generous paid time off and holidays- Flexible work hours and remote work options- Professional development and training opportunities- Inclusive and supportive company culture