Job Description
Junior NLP Analyst
Associate III – Data Analysis
Who we are:
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.
UST is a mission-driven group of over 29,000+ practical problem solvers and creative thinkers in over 30+ countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.
With us, you’ll create a boundless impact that transforms your career-and the lives of people across the world.
Visit us at UST.com.
You Are:
As a Junior NLP (Natural Language Processing) Analyst, you will be responsible for leveraging your expertise in NLP techniques and tools to extract insights and meaning from large volumes of textual data. Your primary focus will be on developing and implementing NLP algorithms, models, and applications to solve complex business problems and improve the efficiency and accuracy of natural language understanding and processing tasks.
The Opportunity:
- Design, implement, and refine NLP algorithms and models to process and analyze text data, including tasks such as text classification, named entity recognition, sentiment analysis, topic modeling, and language translation.
- Clean, preprocess, and transform raw textual data to ensure quality and consistency, including tasks such as tokenization, stemming, lemmatization, and removing stop words and noise.
- Identify and extract relevant features from text data to improve the performance of NLP models, such as using word embeddings, TF-IDF, and syntactic parsing.
- Train and fine-tune NLP models using machine learning techniques, such as supervised and unsupervised learning, deep learning, and reinforcement learning.
- Evaluate and validate model performance using appropriate metrics and statistical analysis.
- Apply NLP techniques to extract structured information and knowledge from unstructured text data, including entity extraction, relation extraction, and event extraction.
- Analyze and interpret sentiment and opinion expressed in text data, providing insights into customer feedback, social media sentiment, and other sources of textual information.
- Work closely with data scientists, software engineers, and business stakeholders to understand requirements, identify NLP opportunities, and develop effective solutions that address business needs.
- Keep abreast of the latest trends, research papers, and best practices in the field of NLP, and proactively suggest and implement improvements to existing NLP models and methodologies.
- Prepare clear and concise documentation, including technical specifications, methodologies, and experimental results.
- Present findings and insights to both technical and non-technical stakeholders in a clear and understandable manner.
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
What you need:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Computational Linguistics, or a related field.
- A Ph.D. in a relevant field is a plus.
- Solid understanding of NLP techniques, including text preprocessing, feature engineering, and machine learning algorithms for NLP tasks.
- Proficiency in programming languages such as Python, R, or Java, and experience with NLP libraries and frameworks such as NLTK, spaCy, Gensim, or TensorFlow.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into NLP solutions.
- Experience with data visualization and exploratory data analysis tools.
- Knowledge of statistical analysis and experimental design.
- Familiarity with cloud platforms and distributed computing frameworks (e.g., AWS, Hadoop, Spark) is advantageous.
- Excellent communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences.
- Strong attention to detail and the ability to handle and process large volumes of textual data.
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. As required by local law, UST provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York City, or Washington as set forth below.
Role Location: Range of Starting Pay for Role
Remote: $72,000-$108,000
Our full-time, regular associates are eligible for 401K matching, and vacation accrual and are covered from day 1 for paid sick time, healthcare, dental, vision, life, and disability insurance benefits. Depending on the role, some associates may also be eligible for stock options.
What we believe:
We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it’s those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the center of everything we do.
Humility:
We will listen, learn, be empathetic, and help selflessly in our interactions with everyone.
Humanity:
Through business, we will better the lives of those less fortunate than ourselves.
Integrity:
We honor our commitments and act with responsibility in all our relationships.
Equal Employment Opportunity Statement
UST is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.