Futuralis
Futuralis is a cloud services and consulting company that empowers businesses to enhance their operations through advanced technologies like AWS Cloud Services, application modernization, and AI/ML solutions. They offer a range of services including cloud assessment, data analytics, application development, and security assessments to help organizations optimize costs, improve system performance, and safeguard against cybersecurity threats. With a focus on innovation and efficiency, Futuralis aims to elevate businesses into the future of digital transformation.
Big Data • SaaS • Software Development • Cloud Computing • Business Intelligence/Analytics
Data Scientist
May 19, 2024
Futuralis
Futuralis is a cloud services and consulting company that empowers businesses to enhance their operations through advanced technologies like AWS Cloud Services, application modernization, and AI/ML solutions. They offer a range of services including cloud assessment, data analytics, application development, and security assessments to help organizations optimize costs, improve system performance, and safeguard against cybersecurity threats. With a focus on innovation and efficiency, Futuralis aims to elevate businesses into the future of digital transformation.
Big Data • SaaS • Software Development • Cloud Computing • Business Intelligence/Analytics
📋 Description
• This is a remote position. • Futuralis is looking for Data Scientist. • A Data Scientist will have extensive experience in causal inference and ML prediction. • Proven experience in leveraging causal and/or ML modeling to generate valuable business insights preferably in the marketing or ad domain. • Data Scientist must be able to communicate in writing their findings and be comfortable presenting them to diverse stakeholders including other scientists and business leaders. • Be comfortable creating structure for ambiguous business problems. • Be adept at providing scalable solutions.
🎯 Requirements
• Econometric/ML Skills • Causal Inference Modeling (e.g., experimentation and/or observational model) • ML prediction modeling (e.g., LLMs, Transformer Model) • Bayesian Statistics • Data Visualization • Double Machine Learning • Regression Classifications • Technical Skills: Python (Numpy, pandas, scikit etc.) • SQL • R • Spark • AWS platforms such as S3, Glue, Athena and Sagemaker • Experience: Project experience in building and validating causal inference and ML prediction models • Project experience in building LLM transformer model
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