Senior Data Scientist (NLP Expert)
Remote
Urbint
Urbint uses artificial intelligence to predict threats to workers and critical infrastructure and stop incidents before they happen.Hiring in the US and Canada Only
At Urbint, our mission is to make communities more resilient. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers, entrepreneurs, and data geeks who obsess over problem-solving, new technologies, and making a positive impact in our communities.
We encourage people from underrepresented groups to apply.
Job Summary
At Urbint, the machine learning team does not work on making consumers spend more or on maximizing clicks. That is all fine; we work on reducing carbon emissions, reducing infrastructure risk and avoiding fatalities. We find meaning and excitement solving these problems, and we hope you do, too.
We are looking for a Research Scientist to join our high visibility, high impact Machine Learning team to help with this mission. The ML team collaborates with a diverse, broader-mission team to deliver value for our customers. Members of the Machine Learning team have the option to major/minor in areas from a large data science specialization spectrum: Technical Product Management, People Management, Data Story-Telling, Applied ML, ML Research, AutoML (Algo/Performance) and MLOps (DE, SRE). This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
What You’ll Do
- You will build a strong and coherent team with particular focus on extracting predictive power out of unstructured text data.
- Serve as a technical lead for projects involving NLP.
- You will have strong communication and organizational skills.
- You will convey complex ideas & trade-off decisions to business stakeholders.
- You may support other teams during ideation with customers.
- You will translate business problems into data science problems, and develop solution frameworks (for repeatability/scaling) with focus on speed to value.
- Overall, you will be responsible for building ML products that deliver measurable business value for customers.
Who You Are
- Must have: 2+ years of focused experience in Natural Language Processing.
- 4+ years of experience in data science/machine learning roles.
- Experience solving concrete, real-world machine learning problems.
- Comfortable with common machine learning algorithms.
- Well-versed in Python or R (and willing to continue to learn the Python ecosystem).
- Demonstrated problem-solving skills and experience maximizing team productivity.
- Up to date with what’s under the hood of some of the advanced ML tools available.
Nice to Have
- Experience with startup or Agile environments.
- Experience leveraging cloud technologies.
- Track record of creating excellent slack emojis and memes.
Benefits
- Mission-Driven - Some companies use AI to serve better digital ads and trade stocks; we seek to make our communities safer and more resilient
- 100% Distributed - work from anywhere
- Distributed work monthly stipend
- Competitive compensation package
- Best in Class Medical Coverage - 100% benefits and premiums paid
- Health Perks - Wellness reimbursement
- Educational Allowance - up to $1000 /yr
- Weekly lunch stipend
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Tags: Agile Machine Learning MLOps NLP Python R Research
Perks/benefits: Career development Competitive pay Gear Health care Startup environment Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Junior Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs