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Job Description The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Bachelor’s, MS or Ph. D. in related fields (Data Science, Computer Science and Machine Learning, Statistics or a quantitative-related field) or equivalent professional experience. Experience working with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks (Airflow) and analytic environments (Databricks, Sagemaker, Jupyter.
$156,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.
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Professional experience in ML Ops, data engineering, or DevOps with a focus on machine learning systems. The ideal candidate will be instrumental in bridging the gap between machine learning development and production operations, optimizing the machine learning lifecycle from data preparation to model monitoring and retraining.
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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
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In the Tatonetti Lab we use advanced data science methods, including artificial intelligence and machine learning, to investigate drug safety, drug-drug interactions, and cancer pharmacology.
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This position will take a hands-on leadership and development role to continuously drive innovation and automation to modernize the existing data platform and architecture, leveraging Generative AI and Machine Learning products where relevant.
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
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Conduct statistical analysis and machine learning techniques to address various business questions through marketing mix model, forecasting and custom analytic projects and help answer a wide variety of business issues including marketing, media, pricing and ROI optimization.
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Strong experience with distributed data architectures and big data processing technologies (Spark, EMR, Hadoop, Hive) Discerning appreciation of best practices in designing data lakes/lake houses, mentoring junior members, peer review and recommendation.
$171,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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We are seeking mid- and senior-level applicants with a strong Physical Science and/or Applied Math background to work in the areas of ocean remote sensing, signal/image processing and detection, computer vision, machine learning, physics-based modeling, data analysis, sensor hardware development, and field test design and support.
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Proficiency with image processing, machine learning, and deep learning techniques. Create machine learning-based pipelines to identify changes in spatial omics patterns of gene and protein expression in tumor tissues.
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You’ll contribute to our overall data strategy, ensuring we remain competitive and innovative; You have at least 5 years of relevant experience as a Data Scientist in a Growth team at a high-growth, product-centric technology company.
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This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.
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