Hop

Data Scientist

Hop  •  Federative Republic of Brazil (Onsite)  •  24 days ago
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Job Description

About the company US-based marketing agency that scales consumer brands across Amazon and major marketplaces with full-service creative solutions and proprietary analytics technology. (100+ members)
About the Role
We are seeking a skilled Data Scientist with a strong background in Python programming, SQL, exploratory data analysis, and a diverse set of analytical techniques. The ideal candidate will have experience not only in building predictive models but also in connecting to APIs (via Python), utilizing traditional statistics methods, and performing comprehensive exploratory data analysis. The role involves partnering with another data scientist on our team and also collaborating closely with cross-functional teams to surface insights for users of our platform.

Key responsibilities:

  • Develop predictive models and algorithms using Python, utilizing machine learning and statistical techniques.
  • Conduct exploratory data analysis to uncover patterns, trends, and relationships in the data.
  • Connect to various APIs to collect relevant data and integrate external data sources into our analytics pipeline.
  • Utilize SQL for data extraction, manipulation, and querying from relational databases.
  • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
  • Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations.
  • Stay updated with the latest advancements in data science, machine learning, and related fields, and apply them to improve our analytical capabilities.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
  • Proven experience in Python programming for data analysis and modeling.
  • Proficiency in SQL for data manipulation and querying is a must.
  • Strong understanding of exploratory data analysis techniques.
  • Experience in connecting to APIs and working with external data sources.
  • Familiarity with traditional statistical methods and their application in data analysis.
  • Excellent communication and collaboration skills.
  • Ability to work effectively in a fast-paced, dynamic environment with evolving priorities.
  • Strong problem-solving skills and attention to detail.

Additional Information:

  • This role is open to any candidate in Latin America.
  • You will be hired as a contractor.
  • You will observe the US holidays.
  • Paid time off (PTO) is provided.
  • You will receive a competitive salary in USD.
Hop

About Hop

Hop is a platform that connects emerging AI, GenAI, and ML talent from Latin America with high-impact projects. Our AI technology evaluates hundreds of candidates weekly, flagging those who score 80% or higher for human review and interviews. Only 1 in 500 talents make the cut.

We go beyond conventional qualifications—whether talent holds a PhD or has no formal education, we identify builders and doers with real skills and a drive to succeed. We provide access to top mentors and offer training uniquely designed to instill a deep understanding of ethics, the wisdom of work, self-mastery, and work culture, ensuring our talent is well-rounded and ready to excel.

Hop’s mission is to break geographic barriers, giving global talent access to high-paying, future-focused roles. We help people stay relevant in an AI-driven world by connecting them with opportunities that uplift their lives and communities.

Industry
HR & Recruiting
Company Size
11-50 employees
Headquarters
Walnut Creek, California
Year Founded
2016
Website
hophr.com
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