Companies Hophr Data Scientist

About the role

Hophr
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.
  • Ready to apply to Hophr?
    Apply to Hophr
    Apply now
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