SENIOR DATA SCIENTIST

Alkymi Inc; New York (NY); Remote; USD 151,000 - 185,000; Full time

Job summary

Alkymi Inc is seeking a Senior Data Scientist to enhance their innovative solutions in private markets data processing. The role involves developing advanced Natural Language Processing algorithms, collaborating with engineering teams, and utilizing machine learning techniques to automate business document processing, contributing to efficiency and effectiveness. The ideal candidate should possess a Master's degree and relevant experience, alongside a robust knowledge of Python and NLP methodologies.

Benefits

Equity

Unlimited PTO

Fully paid company benefits

401k

Qualifications

• Required 2 years of experience in relevant fields.
• Experience with NLP algorithms and large datasets.
• Familiarity with CRF, RNN, CNN, and Transformer.

Responsibilities

• Develop and implement Natural Language Processing algorithms.
• Analyze large datasets to drive business insights.
• Mentor junior data scientists.

Skills

Natural Language Processing

Python

Data Analysis

Machine Learning

Education

Masters degree in Computer Science, Mathematics, or related field

Tools

Tensorflow

Pytorch

Job description

At Alkymi, were building the end-to-end solution for managing private markets data processing. As the first technology service to offer both machine learning and safe and secure large language models inside financial document workflows, Alkymi is changing how the private markets industry accesses their dataempowering firms to service more clients, quickly pivot investment strategies, and review deals faster.

Founded in 2017 in New York City, Alkymi works with some of the worlds leading private markets and financial services firms to automate their highest-impact workflows by delivering an unparalleled product experience. Were laser-focused on understanding our customers workflows from top to bottom and building easy-to-use, powerful, tools to meet their objectives. We combine cutting-edge data science, machine learning, and LLMs with best-in-class software engineering to delight our users at some of the worlds most demanding and sophisticated firms.

Core Responsibilities :

The Senior Data Scientist is responsible for developing and implementing cutting-edge Natural Language Processing (NLP) algorithms that automate the processing of business documents. The Senior Data Scientist will work closely with our product and engineering teams to ensure that our solutions are scalable, efficient, and effective. Specific duties include : (1) design NLP pipelines to meet customer requirements; (2) Use different approaches for training entity tagging models (e.g. CRF, RNN, CNN, Transformer); (3) Analyze large datasets to identify patterns and insights that drive business decisions; (4) Stay up-to-date on the latest developments in computer vision and NLP research, and incorporate new techniques into our solutions; (5) Communicate technical concepts and insights to both technical and non-technical stakeholders; (6) Build and deploy systems for automating business processes; (7) use Python and source code management, debugging, testing, and deployment to develop software; (8) use text pre-processing and normalization techniques including tokenization and POS tagging for text document processing; (9) use asynchronous programming and frameworks such as Tensorflow, Pytorch, and Natural Language Processing deep learning algorithms for text document processing; and (10) oversee the work of and mentor junior data scientists. Telecommuting available from anywhere in US. HQ at 228 Park Ave S, Ste. 63730, New York, NY 10003.

Qualifications :

This position requires a Masters degree or the equivalent in Computer Science, Mathematics, or a related field. Must have 2 years of related experience. Must also have 12 months of experience, as demonstrated through employment or academic coursework, with each of the following :

1) Analyzing large datasets to identify patterns and data insights; 2) Build and deploy systems for automating business processes; 3) Experience with Python, CRF, RNN, CNN, Transformer; Tensorflow; Pytorch; 4) Experience with source code management, debugging, testing, and deployment; 5) Experience with text pre-processing and normalization techniques, including tokenization and POS tagging for text document processing; and 6) Experience using Natural Language Processing deep learning algorithms for text document processing. Employer will accept experience gained before, during, or after a Masters program.

Full-time, telecommuting available from anywhere in US. HQ at 228 Park Ave S, Ste. 63730, New York, NY 10003.

Salary : $151,000 to $185,000 / year. Other benefits include equity, fully paid company benefits, 401k, and unlimited PTO.

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