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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports datasets and predictions with high accuracy and low latency.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Develop machine learning models for tasks such as natural language processing (NLP), computer vision, statistical learning, and predictive analytics. Experience with machine learning fields such as natural language processing (NLP), computer vision, statistical learning, and predictive modeling.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Some of the high priority skills include: quantitative research; experience modeling for predictive analytics and program evaluation; experience with R and/or Python, and natural language processing; process/clickstream data analysis; and machine learning (e.g. unsupervised learning, predictive analysis, automated feature extraction.
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As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
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If you are pursuing Data Science, Analytics or Engineering career and have a passion for Machine Learning, Predictive Modeling, Data Analytics, Visualization, Big Data, IoT technologies, Edge Computing, Machine Learning, Cloud Data Platform, etc., we want to meet you.
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The candidate should also have experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, recommender systems, predictive analytics, Bayesian modeling, data fusion, supervised/unsupervised learning, decision trees, A/B testing, natural language processing.
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Python, Data science, Machine learning, Data, Sql, Erpss, Predictive modelling, Algorithm, Statistics, Daiss, Data analysis, Predictive analytics, Artificial intelligence, Azure, Modeling, Cloud.
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Required skills include (3 years exp in): Python or R; Tableau or PowerBI; data analytics; predictive analytics; and (2 years exp in): Machine Learning or Artificial Intelligence software development/software engineering in Azure.
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Skilled with models for DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testing. Experience in a data analytics, open-source tools, cloud computing, machine learning and data visualization.
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Machine Learning and Deep Learning: Good understanding of ML algorithms like linear regression, logistic regression, supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn, neural networks, NLP, computer vision, and predictive analytics.
$263,900 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. 7+ years of experience in statistical modeling, data mining, analytics techniques, machine learning software development, and reporting.
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machine learning predictive analytics jobs Company: Zillow in SD, Missouri
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