Data Scientist Graduate (Product Analytics, USDS) - 2024 Start (BS/MS)
About the position
Responsibilities
• Conduct product analytics to provide product recommendations that drive product growth
• Deep dive into data sources, understand their limitations, and communicate complex data insights through exploratory analysis and research to suggest improvement
• Design and monitor core metrics; understand root causes of metric movements
• Design and build advanced analytical solutions and models to deliver superior business outcomes
Requirements
• Previous internship(s) or 1-2 years of full-time experience
• Experience with SQL, Python, or R
• BS/MS in Computer Science, Math, Economics, Statistics, or other science and engineering fields
• Self-motivated, detail-oriented, learn autonomously, and highly organized
Nice-to-haves
• Experience navigating and working with large data sets using SQL
• Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Benefits
• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with company match
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care
• 10 paid holidays per year
• 17 days of Paid Personal Time Off (PPTO)
• 10 paid sick days per year
• 12 weeks of paid Parental leave
• 8 weeks of paid Supplemental Disability
• Mental and emotional health benefits through EAP and Lyra
• 401K company match
• Gym and cellphone service reimbursements
Apply Now
Apply Now
Responsibilities
• Conduct product analytics to provide product recommendations that drive product growth
• Deep dive into data sources, understand their limitations, and communicate complex data insights through exploratory analysis and research to suggest improvement
• Design and monitor core metrics; understand root causes of metric movements
• Design and build advanced analytical solutions and models to deliver superior business outcomes
Requirements
• Previous internship(s) or 1-2 years of full-time experience
• Experience with SQL, Python, or R
• BS/MS in Computer Science, Math, Economics, Statistics, or other science and engineering fields
• Self-motivated, detail-oriented, learn autonomously, and highly organized
Nice-to-haves
• Experience navigating and working with large data sets using SQL
• Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Benefits
• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with company match
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care
• 10 paid holidays per year
• 17 days of Paid Personal Time Off (PPTO)
• 10 paid sick days per year
• 12 weeks of paid Parental leave
• 8 weeks of paid Supplemental Disability
• Mental and emotional health benefits through EAP and Lyra
• 401K company match
• Gym and cellphone service reimbursements
Apply Now
Apply Now