Data Scientist, Sense

Deep Learning Focus

Salary not provided

Offers stock options

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Junior and Mid level

Remote in US

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

Offers stock options

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Junior and Mid level

Remote in US

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

Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field
1 to 3 years of professional experience in data science or machine learning
Familiarity with deep learning frameworks like TensorFlow or PyTorch
Basic understanding of neural network architectures (CNNs, RNNs, Transformers)
Proficiency in Python and relevant data science libraries (NumPy, Pandas, Scikit-learn)
Experience working with large datasets is a plus
Strong problem-solving and analytical skills
Enthusiasm for learning and growing in a collaborative, fast-paced environment

What the job involves

We are looking for a Data scientist with a passion for deep learning and time series analysis to join our team
In this role, you will work on developing and optimizing machine learning models that help detect and analyze energy usage in homes
This is a great opportunity for someone early in their career to gain hands-on experience with real-world machine learning applications, work with large datasets, and contribute to both cloud and embedded AI deployments
Assist in designing and training deep learning models for device disaggregation
Perform data preprocessing and analysis to prepare datasets for model training
Conduct experiments with different model architectures and hyperparameters to optimize performance
Help curate ground truth datasets for model evaluation
Work with the engineering team to support model deployment in both cloud-based and embedded systems
Stay updated on deep learning advancements and contribute to best practices in model development
Collaborate with senior data scientists and engineers to improve data science infrastructure

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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