Sr. Applied Scientist, Amazon Devices

Amazon; Sunnyvale (CA); On-site; USD 150,000 - 260,000; Full time

Job summary

Join a forward-thinking company as a Senior Applied Scientist, where you'll leverage your expertise in deep learning and time series forecasting to drive critical business decisions. In this role, you will build advanced predictive models that enhance decision-making for pricing, promotions, and supply chain management across a diverse range of consumer hardware products. Collaborating with cross-functional teams, you'll ensure the seamless integration of these models into operational systems, optimizing business outcomes through data-driven insights. If you're passionate about applying cutting-edge technology to real-world challenges, this is the perfect opportunity to make a significant impact.

Benefits

Medical Benefits

Financial Benefits

Equity Options

Sign-On Payments

Qualifications

• 3+ years of experience in building machine learning models for business applications.
• Strong programming skills in Python, Java, or C++.

Responsibilities

• Develop advanced forecasting models using deep learning techniques.
• Collaborate with teams to integrate models into operational systems.

Skills

Machine Learning

Deep Learning

Time Series Analysis

Python Programming

Feature Engineering

Hyperparameter Tuning

Data Visualization

Statistical Analysis

Education

PhD in a relevant field

Master's degree with 6+ years of experience

Tools

TensorFlow

Keras

PyTorch

NumPy

Pandas

Matplotlib

scikit-learn

Spark MLLib

Job description

Job ID: 2911902 | Amazon.com Services LLC

The Sr. Applied Scientist will be responsible for building advanced time series forecasting models for Amazon Devices using deep learning techniques and state-of-the-art sequence modeling approaches. They will develop scalable, accurate predictive models leveraging RNNs, LSTMs, and Transformer architectures to drive key decision making that supports critical business decisions (including pricing, promotions and supply chain) for all of Amazon consumer hardware product lines WW. Collaborating with cross-functional teams, they will integrate these models into operational systems to enhance data-driven decision-making and optimize business outcomes. Strong expertise in time series analysis, deep learning frameworks, and computational efficiency will be key to success in this role.

Key job responsibilities

1. Build and implement advanced forecasting models using deep learning techniques, with expertise in time series analysis (trends, seasonality, stationarity) and sequence modeling architectures (RNNs, LSTMs, GRUs, Transformers) to drive decisions for pricing, promotions, and supply chain optimization.
2. Write efficient, scalable production code in Python, utilizing NumPy, Pandas, and deep learning frameworks (TensorFlow/Keras, PyTorch) to develop and deploy models, while collaborating with data engineers to ensure smooth integration into real-time systems.
3. Continuously optimize models through sophisticated feature engineering, hyperparameter tuning, and GPU acceleration techniques, while implementing appropriate preprocessing strategies for handling missing values, outliers, and data normalization.
4. Evaluate and communicate model performance using industry-standard metrics (MAE, RMSE, MAPE), create compelling visualizations using Matplotlib, and provide actionable recommendations to cross-functional teams for pricing, promotions, and supply chain strategies.

BASIC QUALIFICATIONS

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit Accommodations for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit Employee Benefits.

Posted: March 5, 2025 (Updated about 9 hours ago)