Title: Data Scientist

Pay: $110K-$130K per year

Reports to: Lead Data Scientist

The Opportunity:​

Join Hum's Alchemist Product team to research, experiment, and develop cutting-edge AI solutions for our Alchemist Review product. You will play a key role in building and refining software that enhances the efficiency, consistency, and quality of the scholarly peer review process. This involves:

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• Designing, training, fine-tuning, and evaluating state-of-the-art NLP and LLM/SLM models that solve real user problems. 

• Developing and implementing robust evaluation metrics and methodologies to assess model performance against key business objectives. 

• Collaborating closely with software engineers to integrate models into production systems. 

• Prototyping and experimenting with novel AI techniques. 

• Communicating findings, model performance, and technical concepts clearly to both technical and non-technical stakeholders. 

• Contributing to a "first of its kind" AI product that addresses critical challenges in academic publishing. 

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Requirements​:​

• MS degree in Computer Science, Data Science, Statistics, or related field and 2+ years of professional data science experience, OR Bachelor's degree in a similar field with 3+ years of professional DS experience. 

• Strong Python programming skills for data science (including libraries like pandas, NumPy, scikit-learn). 

• Practical experience working with LLMs/SLMs, their major libraries/frameworks (e.g., Hugging Face Transformers), prompt engineering, model fine-tuning, and evaluation of NLP results (e.g. topic modeling, NER, information extraction) 

• Strong communications skills for both technical and non-technical stakeholders. 

• Able to work during core common hours, 9:00 am ET - 1:00 PM ET.

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It Would Be Great if You Also Had:​​

• Experience with Google Cloud Platform (GCP) services.  

• Experience with Elasticsearch or vector databases (e.g., Milvus, Qdrant, Weaviate).  

• Familiarity with MLOps principles and tools (e.g., Docker, CI/CD for ML, model monitoring).  

• Familiarity with academic publishing workflows, peer review processes, or related systems.  

• Experience building simple APIs (e.g., using Flask or FastAPI).  

• Comfort working directly with clients or experience in B2B software environments.  

• New product development or consulting background.

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Who We Are​:​

Hum is a startup company moving rapidly towards profitability. Our core offering is a Customer Data Platform built to help content rich organizations understand their customers through the lens of their content. Our customers range from academic publishers to media companies and news organizations.

 

Under the hood we’ve always been a data and AI company. Hum was using transformers to enable production use-cases over a year before ChatGPT broke the Internet. Our Alchemist AI product launched this year as its own line outside the core CDP.

 

From the Alchemist AI lineup, publishing industry professionals are most excited about our Alchemist Taxonomy product and our Alchemist Review prototype.

• Our Alchemist Taxonomy product uses small and large language models to build a hierarchically organized topic model based only on the customer’s content. These taxonomies have been shown to rival human curated ones, but can be generated for a fraction of the time and cost. 
  It can then tag content on an ongoing basis using this custom taxonomy with exceptional accuracy.

• Our Alchemist Review prototype is directed at the scholarly/academic publishing industry. It leverages AI to streamline several aspects of editorial work in the peer review process. By expanding the capabilities of human editors, this product can dramatically reduce review fatigue and overload in an industry inundated by the volume of papers published each year. 

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What Hum has to offer​:​

• Flexible schedule: We protect the hours of 9am - 1pm eastern for meetings and collaboration. Otherwise your schedule is yours to make.

• Fully remote with a Technology Stipend in your first paycheck to support your hardware and home office set up.

• Take the time off all the time you need with our Responsible PTO policy

• Generous packages for family leave.

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About the Hiring Manager:​

With a Ph.D. in Geophysics and over four years working with Hum, Will Fortin brings a unique perspective, including his five years at Columbia University where his office overlooked the first modern seismometer's installation – a view that sends tremors of excitement through any seismologist!

 

At Hum, he's been busy developing products and prototypes that find the hidden gems in big data using cutting-edge AI and LLM/SLM technologies. As our team grows, Will is dedicated to (1) helping you and your colleagues grow into tech-savvy leaders in our industry, and (2) using a smart, scientific process to figure out which ideas can truly become great products.

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You might hear him called "Outdoor Will" around the office – he loves spending time with his partner and two dogs in nature. After growing up in Singapore and experiencing life in New York City for five years, Will has now settled into the rural charm of the Adirondacks, complete with a woodmill to build things outside of the digital space.