Data Scientist

Data Scientist

Pleasanton, CA

Onsite

Job Description: Proficiency in statistical analysis and machine learning using tools such as Python, R, and SQL is essential. Strong understanding of data modeling and data visualization techniques is required, along with experience in big data technologies like Hadoop and Spark. Knowledge of data wrangling and preprocessing is necessary. Strong analytical and problem-solving skills are crucial for developing insights and solutions from complex datasets. Expertise in predictive analytics and applied machine learning is also needed. The ability to measure impact and effectively communicate data-driven stories is important for influencing decision-making processes.

SKILLS:
Proficiency in statistical analysis and machine learning (e.g., Python, R, SQL)
Strong understanding of data modeling and data visualization techniques
Experience with big data technologies (e.g., Hadoop, Spark)
Knowledge of data wrangling and preprocessing
Strong analytical and problem-solving skills
Strong predictive analytics and applied machine learning skills
Ability to measure impact and data storytelling