Staff Data Scientist
Staff Data Scientist
Posted on :
01-05-2025
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1 Vacancy
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Job Description
Description
Enphase Energy is a global energy technology company and leading provider of solar battery and electric vehicle charging products. Founded in 2006 Enphase transformed the solar industry with our revolutionary microinverter technology which turns sunlight into a safe reliable resilient and scalable source of energy to power our lives. Today the Enphase Energy System helps people make use save and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world with approximately 68 million products installed across more than 145 countries.
We are building teams that are designing developing and manufacturing nextgeneration energy technologies and our work environment is fastpaced fun and full of exciting new projects.
If you are passionate about advancing a more sustainable future this is the perfect time to join Enphase!
TheSr. 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.
What You Will Do
- 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 largescale 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.
- Handson experience with cloudbased 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 crossfunctional 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 highthroughput lowlatency 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 endtoend analytical architectures including data lakes data warehouses and realtime 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.
Who You Are and What you Bring
- Bachelors or Masters degree/ Diploma in Engineering Statistics Mathematics or Computer Science
- 6 years of experience as a Data Scientist
- Strong problemsolving skills
- Proven ability to work independently and accurately
Required Experience:
Staff IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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