Senior Associate, Data & Analytics Modeler NLP

  • New York, NY

Compensation

: $143,310.00 - $148,460.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; capture business domains into knowledge bases, taxonomies, and ontologies across different areas (risk management, financial services, mergers and acquisitions, and public policy)
Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumption while communicating results and educating others through insightful visualizations, reports, and presentations
Build ingestion processes to prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)
Leverage a variety of tools and approaches to solve complex business objectives (Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search)
Deliver on engagement milestones by following analytics processes to manage and mitigate risks in data, modeling, validation, and delivery; Work with others to clear issues
Refactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, distributed processing to achieve throughput goals

Qualifications

Minimum of three years of experience leading work streams with two plus data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics, software development processes, and modeling processes (data discovery, cleaning, model selection, validation, and deployment); Multidisciplinary backgrounds is preferred
Bachelors, Masters, or PhD degree from an accredited college/university in a quantitative discipline, such as Computer Science, Engineering, or Mathematics, including one plus year of training specific to artificial intelligence
Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; provide assistance, and resolve problems, using solid problem-solving skills, verbal/written communication
Understanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss pros and cons of modeling approaches; Understanding of development practices such as testing, code design, complexity, and code optimization



* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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