About the Job
The Sr. Data Scientist will be responsible for analyzing product performance in the fleet. Provides support for the data management activities of the Quality/Customer Service organization. Collaborates with Engineering/Quality/CS teams and Information Technology.
- Strong understanding of industrial processes, sensor data, and IoT platforms, essential for building effective predictive maintenance models.
- Experience translating theoretical concepts into engineered features, with a demonstrated ability to create features capturing important events or transitions within the data.
- Expertise in crafting custom features that highlight unique patterns specific to the dataset or problem, enhancing model predictive power. Ability to combine and synthesize information from multiple data sources to develop more informative features.
- Advanced knowledge in Apache Spark (PySpark, SparkSQL, SparkR) and distributed computing, demonstrated through efficient processing and analysis of large-scale datasets. Proficiency in Python, R, and SQL, with a proven track record of writing optimized and efficient Spark code for data processing and model training.
- Hands-on experience with cloud-based machine learning platforms such as AWS SageMaker and Databricks, showcasing scalable model development and deployment.
- Demonstrated capability to develop and implement custom statistical algorithms tailored to specific anomaly detection tasks.
- Proficiency in statistical methods for identifying patterns and trends in large datasets, essential for predictive maintenance. Demonstrated expertise in engineering features to highlight deviations or faults for early detection. Proven leadership in managing predictive maintenance projects from conception to deployment, with a successful track record of cross-functional team collaboration.
- Experience extracting temporal features, such as trends, seasonality, and lagged values, to improve model accuracy. Skills in filtering, smoothing, and transforming data for noise reduction and effective feature extraction.
- Experience optimizing code for performance in high-throughput, low-latency environments. Experience deploying models into production, with expertise in monitoring their performance and integrating them with CI/CD pipelines using AWS, Docker, or Kubernetes.
- Familiarity with end-to-end analytical architectures, including data lakes, data warehouses, and real-time processing systems.
- Experience creating insightful dashboards and reports using tools such as Power BI, Tableau, or custom visualization frameworks to effectively communicate model results to stakeholders.
- 6+ years of experience in data science with a significant focus on predictive maintenance and anomaly detection.
- Bachelor’s or Master’s degree/ Diploma in Engineering, Statistics, Mathematics or Computer Science
- 6+ years of experience as a Data Scientist
- Strong problem-solving skills
- Proven ability to work independently and accurately
About the Company
EnPhase Energy
Petaluma, CA, USA
251-500
At Enphase, we think big. We’re on a mission to bring solar energy to the next level, one where it’s ready to meet the energy demands of an entire globe. As we work towards our vision for a solar-powered planet, we never lose sight of the three commitments that have guided us from the beginning: innovation, quality, and responsibility. We’ve always pushed the boundaries of solar technology, ever since our founders took one look at a string inverter and knew they could do better. We’re still at it. We’re passionate about developing new technologies that make energy more intelligent, more connected, and more cost effective than ever before. Mission To deliver technology solutions that make clean energy affordable, reliable and accessible to all. Values We are experts in our discipline and love what we do We are passionate about winning We have high aspirations and set bold goals We are enthusiastic about delivering the best customer experience We are open, honest, transparent and respectful with our colleagues Vision The world's leading clean energy solution provider We're changing energy. Come join us.
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