Full-Time

Senior Data Scientist

Computer Vision and NLP

Confirmed live in the last 24 hours

Alkymi

Alkymi

11-50 employees

Offers AI-powered business system for unstructured data

AI & Machine Learning
Data & Analytics

Senior

Remote in USA

Required Skills
Microsoft Azure
Python
NoSQL
Data Science
Data Structures & Algorithms
Keras
Apache Spark
SQL
AWS
Pandas
Hadoop
NumPy
Google Cloud Platform
Requirements
  • Master's degree in Computer Science, Engineering, Mathematics, or related field
  • 3 years of experience in a data science related occupation with a focus on NLP
  • 2 years of experience with Python, Pandas, NumPy, Sklearn, PyTorch, TensorFlow, Keras, Core-NLP, Gensim, Hadoop, Spark, AWS, GCP, or Azure, CRF, BiLSTM, transformers, generating IP, developing named entity recognition algorithms, working with large datasets, SQL, and NoSQL databases
Responsibilities
  • Design and implement computer vision and NLP algorithms
  • Collaborate with product and engineering teams
  • Analyze large datasets to identify patterns and insights
  • Stay up-to-date on the latest developments in computer vision and NLP research
  • Communicate technical concepts to stakeholders
  • Mentor junior data scientists
  • Build and deploy systems for automating business processes

Alkymi offers a business system for unstructured data, featuring Alpha, a generative AI for financial services, powered by machine learning and automation technology. The core products, Data Inbox and Patterns, enable businesses to extract, analyze, and act on critical data in emails and documents, empowering organizations to accelerate decision-making and improve customer satisfaction.

Company Stage

Series A

Total Funding

$56M

Headquarters

New York, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

6%

1 year growth

-9%

2 year growth

27%

Benefits

Employer-paid health, vision, and dental premiums

Company-sponsored 401(k) plan

Generous vacation policies

Remote-first company

Parental leave

Career advancement & educational opportunities