Data Scientist, Human Resources

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

The HR Data Scientist is a new role for Publicis Groupe US and will be responsible for establishing an innovative Talent Intelligence practice within the organization, which in turn will allow the Talent and HR community to make evidence-based decisions.

Responsibilities

• Collaborate with partners and stakeholders to understand talent-related business problems; identify, gather, and analyze relevant data
• Utilize appropriate data science methodologies to interpret and summarize data
• Explain and help predict outcomes related to hiring, productivity, engagement, and attrition
• Deliver an intelligence platform with rich data visualizations and meaningful business insights and conclusions
• Keep abreast of emerging methods and technologies in the analytics space
• Conduct statistical analyses to develop strategies
• Build predictive models and machine-learning algorithms
• Identify data patterns and trends
• Propose solutions and strategies to business challenges
• Present information using data visualization techniques
• Document all processes and research

Qualifications

• Bachelor's degree in computer science, statistics, applied math or related field required; Master's degree preferred.
• Extensive background in data mining and statistical analysis
• 2+ years' experience with SQL and statistical software packages (Python, R, SAS) required
• Experience using business intelligence tools and data frameworks
• Attentive listener with strong technical and non-technical communication skills
• A firm understanding of the talent/HR function and processes
• Excellent organizational skills and attention to detail
• Able to multitask, prioritize, and manage time effectively
• Strong math and quantitative skills
• Problem-solving aptitude