Data Analyst

About the Role:

Data Analyst

Key Responsibilities

Data Cleaning & Dataset Curation

• Clean, validate, and preprocess customer-generated

  radar, image, and video datasets

• Identify and resolve

  corrupted, duplicate, mislabeled, or low-quality data samples

• Curate datasets for

  training, validation, and testing

  to support model development
• Maintain

  dataset versions, metadata, lineage, and documentation

• Ensure data quality standards are consistently met across datasets

Annotation & Labeling Quality Control

• Manage and coordinate

  external annotation resources

  (e.g., Upwork contractors or vendors)
• Review labeled images and videos to ensure

  accuracy, consistency, and guideline adherence

• Provide

  clear feedback, examples, and labeling instructions

  to annotators
• Track and report on

  annotation quality, turnaround time, and recurring issues

• Collaborate with the AI team to

  design, implement, and maintain a quality control (QC) pipeline

  for data labeling

Model Performance & Data Analysis Support

• Analyze annotated datasets to identify

  patterns, errors, and data gaps

• Support AI engineers with

  model evaluation and error analysis

• Monitor basic model performance metrics such as

  accuracy, precision, recall, and confusion matrices

• Help identify data-driven improvements to model performance in production environments.

Required Qualifications

• 2–5 years

  of experience as a

  Data Analyst, Applied Data Scientist, or similar role

• Strong proficiency in

  Python

  , including

  Pandas, NumPy, and scripting

• Proven experience cleaning and validating

  messy, real-world datasets

• Comfort working with

  unstructured data

  , such as radar signals, images, videos, or logs
• Working knowledge of

  SQL

  ; experience with

  Snowflake

  preferred
• Understanding of

  basic ML model evaluation metrics

• Exceptional

  attention to detail

  and strong focus on data quality.