Bose | Data Scientist – NLP | Remote | United States | | 2023-01-27

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Job Location: Remote

Job Detail:

Job Description
Bose is about better sound, but better sound is just the beginning! We’re about inventing new technologies that truly benefit people and crafting a culture where innovation and collaboration are highly valued. Working at Bose, you’re encouraged to question conventional thinking in the relentless quest to build products and experiences that change people’s lives. Data science, ML, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, help us to bring the right products to the right customers, and allow us to astonish customers with carefully crafted and personalized experiences.
We are seeking a Data Scientist with experience delivering NLP-driven solutions with a focus on deep learning frameworks and pre-trained language models. In this role, you will be responsible for crafting predictive models to analyze unstructured data from surveys, reviews, and other sources. You will apply your practical experience dealing with messy data, your deep understanding of ML and NLP fundamentals and algorithms, and your willingness to write code to explore problems and uncover patterns in data. The required technical and professional qualifications may come from a combination of professional, academic, research, consulting, pro bono, and personal projects.
Responsibilities include (but are not limited to):
  • Engage with business partners and team members to understand their challenges and translate them into data science solutions.
  • Coordinate data science and data engineering resources to achieve business goals.
  • Lead, supply, and provide thought leadership on the end-to-end development and deployment of predictive and prescriptive models for marketing, sales, finance, supply chain, and other business applications.
  • Explore large datasets using modeling, analysis, and visualization techniques. Transform the results into insights and recommendations.
  • Apply Frequentist and Bayesian inference methodologies to experimental and observational data.
  • Deliver presentations to senior business stakeholders that tell a cohesive and logical story using data.
Required Qualifications:
  • BA or BS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Information Science, etc. Alternatively, four years of equivalent work experience.
  • Good interpersonal, communication, and presentation skills.
  • Five years of relevant professional experience.
  • Advanced expertise in analytics, BI, statistics, data science, or a related area.
  • 5 years Proven experience with SQL, Python, pandas/NumPy/SciPy, and scikit-learn.
  • Experience creating or contributing to predictive NLP models deployed into production.
  • Experience fitting and evaluating classical ML models in an NLP context (Logistic Regression, random forests, multi-layer Perceptron, etc.).
  • One year of experience working with TensorFlow/PyTorch and pre-trained language models (BERT, RoBERTa, ELMo, etc.).
  • Solid understanding of Git and GitHub.
Preferred Qualifications:
  • MA or MS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Information Science, etc. Alternatively, two years of Masters-level equivalent work experience plus a BA or BS in a quantitative field.
  • Experience with Databricks.
  • Experience with AWS (S3, Lambda, SageMaker).
  • Professional experience working in a client-facing consulting role.


Bose is an equal opportunity employer that is committed to inclusion and diversity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. For additional information, please review: (1) the EEO is the Law Poster (; and (2) its Supplements ( Please note, the company’s pay transparency is available at Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

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