| Data Scientist at Remote, Remote, USA |
| Email: [email protected] |
| From: Vicky, istaffx [email protected] Reply to: [email protected] Job Description: We are looking for senior Data Scientist with 6 to 10 years of experience in software development projects who has experience in Distributed systems, pyTorch, R. Someone who will help conceptualize, design, generate and test hypotheses, construct features, build and validate modelsleveraging your deep-learning, build semantic indexing, construct domain-specific corpus, fine-tune pre-trained models, and build foundation and/or generative Client solutions. You are expected to make significant, direct and high-quality contributions to the product that lead to increased market share and customer happiness. Understand analytics & modeling needs; build validated data pipelines to extract internal and external data, conduct exploratory analysis. Build new high-signal features; build, strengthen, and validate robust AI/Client solutions. Develop and implement feature engineering strategies to extract meaningful features from raw structured data and text-based data to optimize model performance. Conceptualize, prototype, and implement Generative and Augmented AI solutions, leveraging LLM, NLP, Image processing, and deep-learning capabilities. Work with both data engineering and analytics teams to find useful data sources; ensure data quality and consistency. Qualifications 6+ years experience as a data scientist Building and delivering data solutions for a company that uses data as a primary aspect of its business Hands-on experience with Deep Learning frameworks such as PyTorch, Spark MLlib library Experience writing reusable, OO Client functions in Python Deep experience in data wrangling: Data extraction, transformation, and cleansing Text pre-processing Data profiling and visualization Analytical prep-work for predictive modeling Automated data validation Managing and maintaining metadata and corresponding data dictionaries Communication & collaboration in an agile environment: Experience collaborating with data engineers, analytics, software engineers, product managers in delivering Client models and data products Ability to work in a fast-paced, agile environment and handle multiple projects simultaneously Strong problem-solving and analytical skills Proven experience identifying opportunities to automate data wrangling and analytics tasks and workflow Experience with end-to-end product development using machine learning algorithms and techniques, including supervised and unsupervised learning, classification, regression, clustering, and deep learning Keywords: artificial intelligence rlang |
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| Wed Jan 10 01:34:00 UTC 2024 |