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Data Analyst

Early on, we recognized that machines have unparalleled capabilities in executing tasks that humans simply cannot. This fueled our journey to change the technology landscape and usher in a new era of productivity through Autonomous Artificial Intelligence. Because of this, Algotive was born.


This visionary understanding hasn't just given rise to Algotive; it serves as the company's north star, guiding each innovation, strategy, and solution we introduce to the world.


Our mission is clear and powerful: We believe that AI's full potential is reached when machines become colleagues, not tools. Every day we strive to make this vision a global reality.


Job Overview

The Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to extract valuable information and generate insights that support the product team's decision-making. They also oversee the creation of datasets for computer vision model training. Their main objective is to transform complex data into actionable insights that drive an organization's growth and success.


Key Responsabilities
  • Coordinate work of external contractors in data annotation.
  • Creation of manuals for contractors, about dataset's annotation.
  • Image labeling (object detection, classification, etc.).
  • Design processes to evaluate models.
  • Analyze and complement data sets to segment data and propose improvements to
  • Increase data quality.
  • Identify relevant patterns, trends, and relationships, and present findings clearly and
  • Comprehensibly.
  • Ensure that data handling and analysis are carried out in accordance with current
  • Privacy regulations and policies, guaranteeing the confidentiality and security of the
  • Data throughout the entire analysis process.
  • Propose improvements in data collection, storage, and analysis processes to
  • Optimize the efficiency and quality of data annotation.


Qualifications-Candidates must have
  • Knowledge of data collection and preparation techniques and methods, as well asdata analysis, including statistics, data mining and data visualization.
  • Data Analyst - ML Datasets 2
  • 2+ years of experience with data set annotation and visualization tools (CVAT,FiftyOne, Label Studio or similar).
  • 2+ years of ability to represent data in a clear and understandable way.
  • 2+ years of experience in Python and data management libraries (Pandas, Numpy,
  • Matplotlib).
  • 2+ years of advanced Excel experience (macros, formulas and pivot tables).
  • Ability to lead asynchronous data annotation teams.


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DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
DATE POSTED
February 3, 2024

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