Here is an opportunity to join Sentient Science, a company whose solutions lie at the convergence of many exponentially accelerating innovative technologies: Senior/Lead Data Scientist

Buffalo, New York – January 21, 2021 – The Senior/Lead Data Scientist leads efforts to expand the data science capabilities of Sentient’s cloud-based predictive analytics platform. 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 (demonstrable proof of impactful work in areas such as damage-anomaly detection, natural language processing, explainability-driven deep learning and time-series forecasting is valuable). Our team particularly values experience in building inferential algorithms for high-stake decisions while dealing with noisy, diverse, distributed datasets. What our team offers in return is an unprecedented opportunity to work with a fun group of problem-solvers analyzing diverse data from a global fleet of large rotating machines in wind energy and aviation. Being able to communicate complex concepts in simple language to diverse stakeholders with an unwavering commitment to empathy and customer obsession is highly desired. The title and associated responsibility for the position can be modified for the right candidate – if our mission inspires you, please click here for the complete job description.

About Sentient Science

Sentient Science Corporation provides digital twin technology to predict the life of mechanical systems. Sentient’s DigitalClone® SaaS solutions use proprietary physics-based modeling and machine learning AI to unlock insights that lower the costs of designing, operating, and sustaining high value assets. This visibility also helps customers optimize parts inventories and increase profitability. Furthermore, Sentient Science offers professional scientific services that enable us to partner with customer experts in industries such as Wind Energy, Aerospace, and Rail to develop cost optimized life extension actions.

Sentient Science is a leader in prognostic solutions with one patent awarded in 2019 for physics-based life prediction and six additional patents pending. Sentient has won more than $22 million in SBIR/STTR funding from the U.S. Government – with agencies including Dept of Energy, Dept of Defense, and NASA. The technology has been recognized by the SBIR program with the 2014 Tibbetts Award, by Bloomberg as New Energy Pioneer Award in 2016, and Frost & Sullivan in 2017 with the New Product Innovations Award for Wind Prognostics.

DigitalClone has 4 Product Offerings:
DC-E DigitalClone for Engineering (DC-E) – a physics-based patented SaaS design solution to model drivetrains and predict individual component life under real-world operating conditions. DC-E delivers a unified workflow for a multiscale analysis from system level to component level through microstructure modeling in a single software package. Customers using this technology have achieved up to 35% cost savings and 65% schedule compression for drive system development programs.

DigitalClone for Wind Operations and Maintenance (DC-OM) – an AI/ML based digital twin SaaS that detects damage based on the current “as maintained” configuration of a wind turbine in operation. DCOM provides a holistic view of the health and remaining useful life (RUL) of an asset’s critical systems and identifies components that may be operating with damage. This enables asset-level health risk assessments that support predictive maintenance programs to reduce O&M costs and extend asset life.

DigitalClone for Rail Maintenance (DC-RM) – a physics-based SaaS scenario planning tool to compare and select best rail maintenance actions based on rail life extension and financial return on investment. DC-RM provides railroads with “Precision Scheduled Maintenance” to maximize the utilization of the rail asset and optimize capital efficiency over the lifecycle.

DigitalClone for Additive Manufacturing (DC-AM) – a multi-scale and multi-physics SaaS model to computationally assess quality and performance of additive manufacturing built-parts. DC-AM uniquely links the process, microstructure and fatigue to provide design and computational testing. Customers indicate that DC-AM can reduce iterations for design optimization by 75% and decrease cost for AM part qualification by up to 50%.

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DigitalClone is a registered trademark of Sentient Science