Senior Data Scientist
REC********
Remote / Telework
Updated 6h ago
Type: Direct Hire
Salary: $100,000 - $150,000/year
Industry: Information Technology
Education: Doctoral Degree
Experience: 5-7 years
Travel: Never
Relocation assistance: -
Work eligibility: Green Card, US Citizen
We are committed to building a culturally diverse environment where differences are valued and respected. Women, minorities, individuals with disabilities, veterans, and intersectional individuals are highly encouraged to apply.
Here is an opportunity to join our company, a company whose solutions lie at the convergence of many exponentially accelerating innovative technologies: Cloud, edge computing and the Industrial Internet of Things (IoT); AI, machine learning and deep learning; Big Data and analytics; and 3D printing (additive manufacturing). Our company helps customers lower the costs of designing, operating, and sustaining their high-value mechanical assets by providing digital twin technology that predicts the life of mechanical systems.
The company's DigitalClone SaaS solutions use proprietary algorithms derived from physics-based modeling and machine learning. Help us achieve our vision of a world where rotorcraft manufacturers, wind energy operators and railroads rely on company DigitalClone for a digital implementation of their O&M cost reduction strategy.
Position Summary:
The Senior/Lead Data Scientist leads efforts to expand the data science capabilities of our company's cloud-based predictive analytics platform. The individual in this position will have a solid background in production-level machine learning systems with broad exposure to a wide variety of algorithmic techniques. Our team particularly values experience in building inferential algorithms for high-stake decisions while dealing with noisy, diverse, distributed datasets. Being able to communicate complex concepts in simple language to diverse stakeholders with an unwavering commitment to empathy and customer obsession is highly desired.
Responsibilities:
Building and implementing machine learning-based statistical models to predict certain damage modes in major components in wind turbines such as Gearbox.
Reviewing large data sets (SCADA) of sensor-derived observations and alarm logs from operating wind turbines.
Developing, implementing and testing statistical algorithms for anomaly detection in large datasets from fleets of field-operating large machines.
Leading and mentoring junior team members in design, optimization and production-deployment of machine learning and statistical forecasting models.
Interfacing with customer-facing executives to stay abreast with voice of the customer and update technical roadmap accordingly.
Experience & Qualifications:
Masters or Ph.D. in mechanical engineering, industrial engineering, wind energy systems, aerospace engineering, statistics, data science, computer science, or related discipline.
Renewable energy industry experience is required for consideration.
Demonstrable knowledge of theory and application of techniques across supervised/unsupervised learning, natural language processing, computer vision and statistical inference.
Experience working with large (TB+) repositories of structured and unstructured data.
Familiarity with physics-based modeling, such as FEM, CFD, MD, MC, DFT, etc.
Proficiency in a modern programming language focused on data analysis and machine learning (e.g., Python, R, Julia, Matlab).
Understanding of deploying, monitoring and retraining machine learning models in cloud-facing production settings (AWS preferred).
Proficiency with relevant tools and libraries for a collaborative machine learning workflow.
Curiosity and a drive to learn proactively.
US citizenship required.
Benefits:
Unlimited paid time-off
Flexible working hours and fully remote option available
Employer-sponsored health insurance
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