Hybrid Data Scientist – Commercial PCs

at HP France

• Job title: Data Scientist – Commercial PCs
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $105,050 - $161,800 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Porto Alegre, Brazil

About the role

• Data Scientist responsible for analyzing complex data sets and developing methods to create actionable insights. Collaborate with engineering teams to improve data quality and deliver business value.

Responsibilities

• Oversees data mining using modern tools and programming languages.
• Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Drives the implementation of models to uncover patterns and predictions creating business value and innovation.
• Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.
• Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.
• Leads a project team of data science professionals and provides guidance, training, and mentoring to less experienced staff members.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Represents the data science team for all phases of larger and more-complex development projects.
• Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.

Requirements

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.
• Programming Language/s Certification (SQL, Python, or similar)

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave