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.

• 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.

• 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.