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👉 Remote Jobs NetworkLet's build powerful digital products together.
Digital Business Transformation • Strategy • Innovation • Experience Design • Software Engineering
201 - 500
5 days ago
Let's build powerful digital products together.
Digital Business Transformation • Strategy • Innovation • Experience Design • Software Engineering
201 - 500
• Execute and lead data analysis and data modeling tasks, leveraging the Google Cloud Platform (GCP). • Work closely with stakeholders to understand data needs and develop advanced models. • Develop, test, validate, and deploy advanced machine learning models. • Lead cross-functional teams to integrate data-driven solutions into existing systems. • Conduct data exploration and preprocessing, ensuring data quality and integrity. • Implement and optimize data pipelines and ETL processes. • Continuously monitor model performance and make improvements as necessary. • Provide strategic insights and recommendations based on data analysis. • Document and communicate findings and best practices to stakeholders. • Stay updated with advancements in data science, machine learning, generative AI, and GCP technologies. • Interact with stakeholders including executives, product managers, data engineers, and designers.
• 8+ years of experience in data science and machine learning, with a focus on GCP services such as BigQuery, Dataflow, Dataproc, and Cloud Storage. • Experience with AI and ML tools on GCP, such as AI Platform, Vertex AI, and BigQuery ML. • Experience working with generative AI models. • Proficiency in programming languages such as Python and experience with data science libraries and frameworks such as scikit-learn, Pytorch, Keras, Tensorflow, etc. • Strong understanding of statistical methods, machine learning algorithms, and data modeling techniques. • Experience with generative AI models, including model development, fine-tuning, and deployment. • Experience with Looker required and techniques to present insights effectively, ( experience with other data visualization tools like PowerBI, Tableau, etc. a plus. • Familiarity with data pipeline orchestration tools and practices, such as Pub/Sub and Cloud Functions. • Solid understanding of data warehousing principles and ETL processes. • Ability to work with stakeholders to define data requirements and translate them into actionable models. • Strong communication and teamwork abilities. • Experience with version control systems such as Git. • Proven ability to write functional and maintainable code based on technical requirements.
Apply Now6 days ago
51 - 200
LightFeather seeks a Data Scientist to drive data science initiatives.
September 13
201 - 500
Enhance Hopper's lodging pricing through data analytics and prediction.
🇺🇸 United States – Remote
đź’° $96M Venture Round on 2022-11
⏰ Full Time
đźź Senior
đź“Š Data Scientist
đź—˝ H1B Visa Sponsor
September 13
201 - 500
Join Hopper's CS Analytics team as a Data Scientist focusing on NLP.
🇺🇸 United States – Remote
đź’° $96M Venture Round on 2022-11
⏰ Full Time
🟡 Mid-level
đźź Senior
đź“Š Data Scientist
đź—˝ H1B Visa Sponsor
September 13
201 - 500
Drive pricing analytics and predictions for Hopper's lodging offerings.
🇺🇸 United States – Remote
đź’° $96M Venture Round on 2022-11
⏰ Full Time
đźź Senior
đź“Š Data Scientist
đź—˝ H1B Visa Sponsor
September 13
501 - 1000
Support data governance and ETL pipelines in data management initiatives.