Senior Data Scientist & Machine Learning Engineer
Santa Clara, California
We’re Hitachi Digital, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next.
The team
As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
The role
With your expertise in data analysis, statistical modeling, and machine learning and your passion for solving complex problems and generating actionable insights you will be able to contribute to the success of our projects.
- Responsible for collecting, analyzing and interpreting data (data mining or extraction) from multiple data sources: processing, cleaning and validation
- Solving business problems using data analysis/mining and machine learning techniques.
- Carrying out preprocessing of structured and unstructured data and detecting trends, patterns in data sets and improving data models with advanced analytics and deep learning capability
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Developing prediction systems and machine learning algorithms
What you’ll bring
- Min. of 5+ years of professional work experience in data science and machine learning.
- Proven track record of working with multiple Machine Learning Operations (MLOps) platforms, showcasing the ability to manage and streamline the lifecycle of machine learning models effectively.
- Proficiency in designing and deploying AI and ML models in production environments: demonstrated ability to effectively design scalable ML-based solutions and systems.
- Experience with Nvidia AI tools and technologies, such as CUDA or TensorRT
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib)
- Strong communication skills, with the ability to present complex information in a clear and concise manner.
- The ability to collaborate with Business and IT teams, providing a key point of contact for stakeholders
As required by the equal pay and transparency acts, the expected base salary for this position is:
Tier One location (including New York City and California Bay area) $155,400 - $222,000
The expected pay is determined based on a variety of factors including but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi Digital's bonus/variable/commission pay programs, where applicable and are subject to the program's conditions and restrictions.
Championing diversity, equity, and inclusion
Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.
How we look after you
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status.
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