Senior Data Scientist, Sense

Deep Learning Focus

Salary not provided

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Keras

Senior and Expert level

Boston

More information about location

Office located in Cambridge, MA

Intelligent home energy monitor

Be an early applicant

Intelligent home energy monitor

101-200 employees

B2BArtificial IntelligenceEnergyAnalyticsMachine LearningSaaSMobileEnvironmental

Be an early applicant

Salary not provided

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Keras

Senior and Expert level

Boston

More information about location

Office located in Cambridge, MA

101-200 employees

B2BArtificial IntelligenceEnergyAnalyticsMachine LearningSaaSMobileEnvironmental

Company mission

To reduce global carbon emissions by transforming the relationship between people, homes and the electric grid.

Job

Company

Role

Who you are

We are seeking a motivated and experienced Senior/Principal Data Scientist to join our team
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

What the job involves

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
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
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

Our take

Sense is a technology company hoping to have a positive impact on the environment, by providing residential customers with an intelligent home energy monitor. The company's system identifies the devices in the house by detecting their unique electrical signals, helping customers to understand and reduce their household energy consumption, and make more informed decisions about their homes.

Sense distinguishes itself through its proprietary AI and ML-based technology, through which users are provided with real-time insights into energy and device activity (even if the devices themselves are not smart). Its app can be used to monitor and reduce energy consumption, which is good for both the environment and consumers - who stand to save on their energy bills.

As it increases its international presence, the company has secured partnerships with businesses such as Schneider, a key provider of energy infrastructure across the world. It has received substantial funding towards further expanding its global footprint to Europe, Asia Pacific and other regions. On top of this, Sense plans to invest in accelerating its path to broad consumer adoption in partnership with smart home innovators making the future an exciting one for the company.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 9 rounds)

Sep 2022

$22.6m

SERIES C

Apr 2022

$105m

SERIES C

Total funding: $213.6m

Company benefits

Generous healthcare benefits
Flexible Spending Account (FSA)
Life and disability insurance
Dental and vision benefits
Dependent Care Flexible Spending Account (DCA)
Health Savings Account (HSA)
Health Reimbursement Account (HRA)
Accident Insurance
Hospital Indemnity Insurance
Flexible paid time off
401K with company match
Paid parental leave
Paid family and medical leave
Fitness subsidies
Hiring practices that promote diversity
Unconscious bias training
Hybrid and remote work opportunities
Remote work stipend
Commuter benefits

Company HQ

Central Square, Cambridge, MA

Leadership

Michael Phillips

(Co-Founder & CEO)

Previously the Founder and CTO at SpeechWorks and vlingo, as well as CTO at ScanSoft.

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