Principal Engineer, Data Science

April 25

KCF Technologies, Inc.

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Empowering forward-thinking manufacturers to achieve peak operational health.

Machine Health Monitoring • Predictive Maintenance • IIoT • Wireless Sensors • Asset Health Optimization

201 - 500

Description

• Lead the design, development and deployment of artificial intelligence, machine learning, and statistical models • Lead the design and optimization of high-performance data pipelines and analytical tools, ensuring scalability and efficiency to support growing data needs • Build and manage databases and data warehouses and assist in implementing our new data platform to ensure scalability, reliability, and performance • Drive innovation by exploring emerging technologies and staying abreast of industry trends, applying this knowledge to enhance analytics solutions and methodologies • Manage a team of data scientists and analysts, provide technical mentorship to direct reports and guidance for external contractors, and foster growth while ensuring alignment with industry best practices • Collaborate with team members to understand their data requirements and assist with providing them with access to clean, reliable data • Partner closely with stakeholders to understand business challenges and devise technical solutions using data-driven approaches, ensuring alignment with organizational goals • Take the helm in leading working groups, defining scope requirements, and steering projects through the entire lifecycle, from inception to implementation and maintenance • Maintain comprehensive and detailed documentation of model source code, data pipelines, processes, and best practices, ensuring clarity and consistency for the team and stakeholders • Ensure compliance with data privacy regulations and ethical standards in data handling while implementing governance practices to maintain data integrity and security • Design and conduct hypothesis testing to validate assumptions and assess the impact of changes or new features within the product • Work with domain experts, engineers, and other teams to understand business needs, gather domain-specific knowledge, and integrate diverse perspectives into data-driven solutions • Optimize existing algorithms and processes for efficiency, scalability, and performance in handling large-scale datasets and real-time applications • Analyze customer behavior patterns and market trends and provide insights to help drive strategic decision-making and product enhancements • Architect machine learning platforms and workflows and design scalable and efficient systems that facilitate the development and deployment of advanced analytics and AI solutions

Requirements

• MSc or PhD in Statistics, Machine Learning, Computer Science, or equivalent with 7+ years of Applied ML experience • Extensive experience with advanced statistical and machine learning techniques, including Bayesian methods, regression analysis, multi-label classification, and other predictive modeling approaches, with a proven ability to apply these methods to solve real-world problems effectively and innovatively • Demonstrated knowledge and ability working with AWS, Google Cloud, or other cloud-based solutions to train models, set up data pipelines, and set up inference engines. Professional certifications such as AWS Certified Solutions Architect, or Google Cloud certification preferred • Experience with microservices and deployment of ML models • Experience working with tools like AWS Sagemaker, Hadoop, Spark, and Delta Lake • Deep understanding of Python's data libraries and frameworks for analytics • Understanding of the following concepts: feature stores, data lineage, A/B testing, model scoring/feedback • Experience in feature engineering, including expertise in identifying, developing, and implementing innovative features that significantly enhance model performance and data utility • Experience applying digital signal processing techniques such as Fourier transforms, filtering and wavelet analysis to time series data • Excellent problem-solving skills with a focus on architecting robust and scalable analytics solutions • Ability to optimize SQL for high-performance data operations • Demonstrated leadership and management skills, with a proven track record of successfully leading data science teams through complex projects from conception to completion, fostering collaboration, innovation, and professional growth among team members • Demonstrated strong technical communication skills, effectively conveying complex data and analytics concepts to diverse audiences, both technical and non-technical • Ability to design and execute data experiments to test hypotheses and validate insights quickly and effectively • Proficiency in validating and adopting emerging technologies and methodologies in analytics, data processing, and cloud computing • Strong background in data visualization and ability to communicate complex data insights effectively • Familiarity with concurrent programming such as threads and asynchronous I/O • Experience in IIoT space preferred

Benefits

• 100% company-paid Medical, Dental, Vision, Disability, and Life Insurance premiums • Health Savings Account with generous employer contributions • Flexible work model for most positions, “work from home, work from anywhere” • Competitive compensation & bonus opportunities • Four weeks Paid Time Off; Paid Holidays + "Flex" Holiday • 401(K) with company match • Monthly cell phone and internet stipend • $500 annual wellness reimbursement • Learning culture committed to growth and continuous development