About the role
One of Robert Half's Fortune 500 clients in Richmond, VA is hiring a Data Scientist for a long-term, hybrid opportunity. This will be onsite 4 days per week, The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities:
Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements
Qualifications:
Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 3 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C, C++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)The compensation range for this position is $40 to $50 per hour. Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.
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