Senior Data Scientist - Deep Learning focus

About Sense:

Our mission at Sense is to make all homes intelligent by keeping people informed about what's happening in their homes, and helping to make homes safer, more efficient, and more reliable.

At Sense, we are serious about having a real impact on climate change.

The technology team at Sense is looking for an experienced data scientist to help us build the "large language model" of electrical devices and energy.

About the Role:

We are seeking a motivated and experienced Senior/Principal Data Scientist to join our team. You will play a crucial role in developing and deploying state-of-the-art deep learning models to solve challenging problems in time series analysis and energy. You will have the opportunity to work with large, complex datasets and contribute to the entire model development lifecycle, from data exploration and preprocessing to model training, evaluation, and deployment. Models are deployed to both cloud and embedded systems where they power our consumer application and real-time embedded applications on electrical meters.

Responsibilities:

• Design, develop, and implement deep learning models for device disaggregation.
• Conduct thorough data analysis and preprocessing to prepare data for model training.
• Train and evaluate deep learning models using appropriate metrics and techniques. Contribute to curation of ground truth.
• Experiment with different model architectures and hyperparameters to optimize model performance.
• Collaborate with a cross-functional team to deploy, maintain, and support deep learning models in production environments.
• Stay up-to-date with the latest advancements in deep learning research and technologies.
• Contribute to the development of our data science infrastructure and best practices.
• Mentor and guide junior data scientists.

Requirements

Qualifications:

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Statistics, Electrical Engineering, Computer Engineering, or a related field.
• 5+ years (Senior) / 8+ years (Principal) of experience in data science, with a strong focus on deep learning.
• Experience in training and deploying deep neural networks using popular frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.) and their applications.
• Proficiency in programming languages such as Python and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Experience working with large datasets.
• Strong communication and collaboration skills.
• Must be authorized to work in the U.S.

Benefits

• Flexible time away policy
• Paid parental leave.
• A wide range of difficult and interesting problems to be solved.
• Work with a small team of experienced entrepreneurs creating revolutionary technology.
• Great opportunity to gain experience at a consumer smart home startup.
• Competitive compensation and generous healthcare benefits.
• A great office in Central Square in Cambridge, MA right by the Red Line
• Compensation 140k to 165k
• Stock Options and 401k with up to 10k match

Why Sense

Join Sense and be part of our mission to reduce global carbon emissions by making homes smart and more efficient. Our energy data and tools demystify home energy use, empower people to take command of their usage, and enable utilities to build a cleaner and more resilient grid.

Sense supports a diverse and inclusive workplace where we all learn from each other. We welcome candidates with backgrounds that are traditionally underrepresented in tech, and we strive to foster an engaging, respectful and supportive community where everyone feels empowered to do their best work. Sense is committed to be an equal opportunity employer.

• Be a part of building something that will make a difference in the world.
• Have a big impact at a VC-backed consumer startup that's doing big things:
• Best Startups in Cambridge - Tech Tribune
• "One of the world's top 100 AI companies" - VentureBeat
• Clean Tech Company of the Year - New England Venture Capital Association
• 50 on Fire - BostInno
• Top 100 - Red Herring
• Best Consumer AI Technology - AI Dev World
• Global Cleantech 100