Robert Half · 2 days ago
Senior Data Scientist
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Responsibilities
Develop and implement advanced predictive models and statistical analysis using a variety of machine learning algorithms.
Suggest algorithms or models appropriate for specific use cases and applications.
Analyze and extract relevant information from large amounts of historical business data to help automate and optimize key processes with business teams.
Apply technical solutions to business problems and questions using large scale data analytics and machine learning; create highly calibrated solutions for business problems.
Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations.
Continuously evaluate and refine models based on performance metrics.
Utilize cloud technologies such as Azure Machine Learning, Azure Databricks, and other Microsoft data services for data processing, model building, and deployment.
Enhance and evolve the performance of large language models by refining their capabilities through targeted fine-tuning.
Steer both the research trajectory and the practical engineering efforts of the team.
Formulate and enact algorithms for model enhancement, tweak critical hyperparameters, and heighten overall model efficiency.
Guarantee the integrity and relevance of datasets by conducting thorough preprocessing and data analysis within the fine-tuning workflow.
Conduct assessments on fine-tuned models, making necessary modifications to boost their effectiveness.
Foster a cooperative environment within the team, providing guidance to peers to ensure a smooth fine-tuning operation that yields superior results.
Stay at the forefront of advancements in large language model technologies and applications, perpetually refining technical expertise in model fine-tuning.
Collaborate with IT and data engineering teams in an enterprise setting to integrate data science solutions into the broader tech stack and data strategy.
Work closely with business stakeholders to identify opportunities for leveraging company data to drive business solutions.
Translate complex data-driven findings into actionable business insights and communicate these effectively to non-technical stakeholders.
Stay abreast of industry trends and advancements in data science and Azure technologies.
Conduct research to explore new methodologies and technologies that can enhance the organization's data analytics capabilities.
Qualification
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Required
Bachelor's degree in Statistics, Computer Science, Mathematics or equivalent required
5 years of professional experience in data science, with a record in designing and implementing large-scale data science projects
5 years of industry experience in predictive modeling and large data analysis
Knowledge of open-source large language models and experience with evaluating and recommending appropriate models for specific use cases
3+ years of experience in using big data platforms and technologies such as Hadoop, Azure data lake, Azure Cosmos DB, Pig, Hive, HBase, etc.
3+ years of hands-on experience in statistical modeling, data mining, large data analysis and predictive modeling; text mining a major plus
3+ years of experience in regression, classification and clustering methods such as GLM, LR, SVM, LVQ, SOM, Neural Networks
Experience with two or more of the following: Python, PERL, Matlab or Scala
Expertise in various machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Excellent analytical, problem-solving, and communication skills
Excellent communication skills, with a proven ability to translate technical findings into business recommendations and strategies
Preferred
Master's or PhD highly preferred
Certifications in Azure data services or advanced analytics preferred
Company
Robert Half
Robert Half, the world’s first and largest specialized talent solutions firm, connects opportunities at great companies with highly skilled job seekers.
H1B Sponsorship
Robert Half has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (22)
2022 (27)
2021 (28)
2020 (21)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO· nyse:RHI
Leadership Team
Recent News
2024-05-21
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