This is a Fully Remote Job
About Our Client:
The organization operates in the asset management and industrial software industry, addressing challenges in maintenance and operations by providing connected insights and AI-powered solutions. Their software supports the management of asset lifecycles, facilities, and infrastructure, aiming to improve efficiency, reduce risk, and optimize investments through data, people, and process integration.
About the Opportunity:
The DATA SCIENTIST role focuses on transforming diverse operational and product data into actionable, production-ready machine learning and analytical solutions. This position is responsible for independently managing data science projects that enhance decision-making and asset performance. The role collaborates across teams to frame business problems, develop models, and implement solutions that deliver measurable business impact.
Responsibilities:
Translate business challenges into analytical questions and modeling tasks
Prepare, clean, and validate various data types including time-series and unstructured data
Develop and evaluate predictive and analytical models for forecasting, anomaly detection, and decision support
Perform model error and sensitivity analyses to ensure reliability
Communicate model results and recommendations to technical and non-technical stakeholders
Apply experimental methods to evaluate the impact of models and products
Write maintainable and tested Python and SQL code following software engineering standards
Collaborate with engineering teams to deploy and monitor models in production
Evaluate and prototype GenAI and LLM applications within defined use cases
Adhere to data privacy, security, and responsible AI governance standards
Mentor less-experienced team members and contribute to knowledge sharing
Requirements:
4-5 years professional experience in data science or related fields
Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related quantitative discipline
Proven experience delivering production-ready data science or machine learning solutions
Proficiency in Python and libraries such as pandas, scikit-learn, XGBoost, PyTorch, or TensorFlow
Strong SQL skills including advanced query techniques
Pay Range and Compensation Package:
The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.
Equal Opportunity Statement:
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.