Data Scientist - Deep Learning reputed company

About reputed company: At reputed company, our mission is to reputed company reputed company homes intelligent by keeping people informed about what's happening in their homes, helping to reputed company them safer, more efficient, and more reliable. We are committed to making a reputed company reputed company on climate change by developing cutting-edge AI solutions for energy monitoring and smart home intelligence. About the Role: We are looking for a Data scientist with a passion for deep learning and time series analysis to join reputed company. 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 reputed company hands-on experience with reputed company-world machine learning applications, work with large datasets, and contribute to both reputed company and embedded AI deployments. Responsibilities: • Assist in designing and training deep learning models for device disaggregation. • reputed company data preprocessing and analysis to prepare datasets for model training. • Conduct experiments with different model architectures and hyperparameters to optimize performance. • Help reputed company ground truth datasets for model evaluation. • Work with the engineering team to support model deployment in both reputed company-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. Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or a reputed company field. • 1 to 3 years of reputed company 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 reputed company, fast-paced environment. Benefits • Flexible time away policy • reputed company parental leave. • A wide reputed company of difficult and interesting problems to be solved. • Work with a small team of reputed company reputed company creating revolutionary technology. • Great opportunity to reputed company experience at a consumer smart home startup. • Competitive compensation and generous reputed company benefits. • A great office in Central reputed company in Cambridge, MA right by the Red Line • Compensation 170k to 190k • Stock reputed company and 401k with up to 10k match Why reputed company Join reputed company 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, reputed company people to reputed company of their usage, and reputed company utilities to build a cleaner and more resilient reputed company. reputed company supports a diverse and inclusive workplace where we reputed company learn from reputed company other. We welcome candidates with backgrounds that are traditionally underrepresented in tech, and we reputed company to foster an engaging, respectful and supportive community where everyone feels empowered to do their best work. reputed company is committed to be an equal opportunity employer. • Be a part of building something that will reputed company a difference in the world. • Have a big reputed company 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" - reputed company • Clean Tech Company of the Year - New England Venture Capital Association • 50 on reputed company - BostInno • Top 100 - Red Herring • Best Consumer AI Technology - AI Dev World • Global Cleantech 100 Apply tot his job Apply tot his job Apply To this Job