Software Engineer: Data Science

 Our mission at Enphase Energy is to advance a sustainable future for all.

Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products.

Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future.

Do you want to help change the world? Learn more about the role:

For our Customer Experience team, we seek Hands-On AI/ML Staff Engineer who can work on designing & implementing high quality scalable AI/ML applications and platforms, while providing technical leadership/mentoring to a small team of talented developers in agile environment. Your ability to lead the architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and AI applications is essential for success in this role.

Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable machine learning applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery.

What you will be doing:  

• Understanding the customer experience business use cases and technical requirements and being able to convert them into a technical design that elegantly meets the requirements.
• Implementation of sophisticated analytics programs, machine learning, and statistical methods to prepare enterprise data for use in predictive and prescriptive modeling.
• Accountable for the data science platform design in addition to the use of case-based application solution design.
• Work on complex unstructured datasets using advanced statistical and analytical methods.
• Work closely with other technical and operational functions to gather, organize and analyze datasets to extract meaningful insights.

Who you are and what you bring:

• MS or Bachelors in Computer Science, Math, Machine Learning, or a relevant field with 4+ yrs. of experience in industry and/or academic research
• Strong Experience in Python for Data Science, Data Science on AWS, Data Science solutions, Communication and Collaboration, Statistics & Probability.
• Ability to design and implement workflows of Linear & Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python or Optimisation methodologies
• Demonstrable competency in Probability & Statistics, ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests.
• Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
• Hands-on experience in using statistical and analytical techniques to complex business problems.
• Hands-on experience in solving regression, prediction, classification, clustering, neural networks, and Bayesian problems.
• Advanced knowledge of statistical techniques, machine learning algorithms, Bayesian Models, data mining, and text mining.
• Experience in handling large datasets on cloud and on-premises setup, using distributed computing.
• Able to understand various data structures and common methods in data transformation.
• Strong Programming background and expertise in building models in languages like Python, R, Scala, etc.
• Good knowledge of visual techniques for data analysis and presentation skills
• Strong troubleshooting skills in different disparate technologies and environments
• Enthusiastic about different areas of work and exploring new technologies
• Clarity of thought and strong communication skills to effectively pitch solutions
• Ability to explore and grasp new technologies
• Mentoring your team members in projects and helping them keep up with new technologies
• Empowering the team members to be solution providers and enable a flat environment where every ones point of view is considered, and feedback is encouraged.