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Senior Data Scientist - Computer Vision and NLP

Job in Utica, Oneida County, New York, 13501, USA
Listing for: Alkymi
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 USD Yearly USD 150000.00 YEAR
Job Description & How to Apply Below

Duties

  • Design and implement computer vision and NLP algorithms to automate the processing of business documents.
  • Collaborate with product and engineering teams to ensure that our solutions are scalable, efficient, and effective.
  • Analyze large datasets to identify patterns and insights that drive business decisions.
  • Stay up-to-date on the latest developments in computer vision and NLP research, and incorporate new techniques into our solutions as appropriate.
  • Communicate technical concepts and insights to both technical and non-technical stakeholders.
  • Mentor and guide junior data scientists on the team (no direct reports).
  • Build and deploy systems for automating business processes.
  • Telecommuting permitted.
Requirements
  • Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or related field and 3 years of experience in a data science related occupation, with a focus on NLP.
  • Requires 2 years of experience with all of the following skills:
  • Python and related data science libraries including Pandas, Num Py, Sklearn, PyTorch, Tensor Flow, Keras, Core-NLP, and Gensim; big data frameworks such as Hadoop and Spark; cloud-based technologies, such as AWS, GCP, or Azure; common NLP algorithms including CRF, BiLSTM, and transformers; generating IP in the form of patents and publications; developing high performance named entity recognition algorithms for the purpose of extracting key information from business documents;

    and working with large datasets and using SQL and No

    SQL databases.

Salary: $150,000 per year

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Position Requirements
10+ Years work experience
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