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3-5 years of applied experience in machine learning, deep learning methods, statistical data analysis and complex data visualization; experience in life science industry would be a plus. Master's degree or PhD in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related discipline.
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Provide thought leadership and technical proficiency in data driven decision and opportunities using various analytic methods such as predictive modeling, clustering, text mining, machine learning statistical forecasting, optimization, simulations etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong understanding and skills in advanced analytics and data science models and methodology, such as statistical analysis, algorithm development, artificial intelligence, machine learning, text mining, natural language processing, and optimization.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
$150ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Statistical analysis experience, including but not limited to experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Extensive knowledge of ML algorithms, including a deep understanding of statistical modeling, and Python development tooling and libraries (Pandas, Numpy, Scikit-learn, Pytest, PySpark, SQL, Airflow, MLflow, Hugging Face Transformers, Tensorflow or PyTorch.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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You will be an integral part of Data Sciences at PinkDx, building and implementing a machine learning/AI/statistical modeling engine that develops classification models using a comprehensive menu of genomic features generated from next-generation sequencing (NGS) platforms, clinical features, and adjudicated truth labels.
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Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
$200,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning. Car Restoration 3D. Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning.
$200ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Our interdisciplinary team, comprising experts in clinical science, data science, statistical genetics, machine learning and drug discovery utilize this platform to determine genetic drivers of disease progression, advance novel therapeutics and define genetics-based patient stratification.
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5+ years of experience in machine learning frameworks such as PyTorch, Tensorflow, ONNX Runtime, and TensorRT.Hands-on expertise in traditional statistical machine learning techniques, deep learning, and natural language processing modeling.
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Stay abreast of the latest advancements in machine learning, ASR, and LLM to ensure the continuous evolution of our technologies. Minimum of 5+ years of experience in working with deep learning and statistical models, with at least 3+ years of industry experience.
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As our first full time Staff Data Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice.
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Technical Proficiency: Familiarity with data science methodologies (machine learning, statistical modeling, etc.) Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
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machine statistical jobs in Daly City, CA
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