Data Scientist

Website Growers Edge

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

Responsibilities:

  • Identify valuable data sources and automate collection processes
    Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Manage master data, including creation, updates, and deletion.
  • Collaborate on product discussions regarding high impact features.
  • Assist with various data analysis and modeling projects.
  • Create data visualizations for use in both internal and external capacities.
  • Analyze data to inform decisions by product and tech teams.
  • Develop, maintain and improve holistic data sets, reports, and dashboards to monitor company performance.
  • Analyze business intelligence and support the business by communicating key trends, insights, risks and findings to management.
  • Aid in hypothesis formulation, data collection, modeling, and interpretation of complex datasets to enable data-driven decisions.

Skills:

  • Proven experience as a Data Scientist or Data Analyst
  • Familiarity with working one or more of the following: weather, climate, soils, satellite, crop yield datasets.
  • Background with analyzing data and providing initial statistical analyses.
  • Experience with data engineering and descriptive statistics.
  • Experience with a scientific programming language (e.g. R, Python).
  • Experience with geospatial data analysis, data aggregation, and geo visualization (e.g. QGIS or ArcGIS).
  • Comfortable working with messy datasets from a variety of sources.
  • Aid in hypothesis formulation, data collection, modeling, and interpretation of complex datasets to enable data-driven decisions.
  • Experience with machine learning and statistical concepts, packages and libraries.
  • Excellent communications skills to both technical and non-technical audiences.
  • Experience with machine learning and statistical concepts, packages and libraries.
  • Excellent communications skills to both technical and non-technical audiences.
  • Strong problem-solving, analytic and interpersonal skills.

To apply for this job email your details to recruiting@growersedge.com