Job Description
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Develop subject matter expertise in the organizations data and product ecosystem.
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Partner with cross-functional teams to identify opportunities, design experiments, and deliver scalable ML solutions that create measurable business value.
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Lead the design of experiments and hypothesis testing to support new feature development.
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Design, implement, and deploy machine learning models across diverse use cases, with opportunities to apply techniques to specialized domains such as weather-related modeling.
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Communicate findings and insights clearly to both technical and non-technical audiences using visualizations and presentations.
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Monitor and evaluate model performance and ensure data quality in production.
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Stay current with advancements in machine learning, AI, and emerging technologies.
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Preferred : Prior experience working with weather data or weather-related modeling.
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3- 5 years of experience building and deploying machine learning models.
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Masters or PhD in statistics, mathematics, computer science, or another quantitative field.
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Strong problem-solving skills with an emphasis on product development.
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Proficient in programming languages such as Python and/or R, with experience using libraries such as pandas, scikit-learn, and TensorFlow.
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Experience with SQL and relational databases for data extraction and manipulation.
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Hands-on experience with ML techniques for predictive modeling, classification, NLP (including large language models), recommendation systems, and time series methods.
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Familiarity with the software development lifecycle, version control (Git), and CI/CD pipelines.
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Experience with cloud-based AI/ML frameworks such as AWS, Azure, or GCP is a plus.
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Strong organizational, communication, and time management skills.
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High level of accountability and ability to deliver results in a fast-paced environment.
We are seeking a Data Scientist II to join our growing data science team. In this role, you will contribute to a wide range of activities related to end-to-end machine learning (ML) deployments, research, and development of data-driven features that support both internal and external stakeholders.
This position is ideal for someone who enjoys variety, thrives in a collaborative environment, and wants to broaden their expertise in a structured and impactful way.
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