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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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Experience developing deep learning models Hands-on experience in training, fine-tuning, and optimizing machine learning models in the context of LLMs and Generative AI Experience deploying transformer-based architectures such as GPT, LLaMa, and BERT Great understanding of classical deep learning models/algorithms: CNN, RNN, LSTM Preferred Experience.
$190,000 - $230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with data engineering/processing frameworks (databricks, spark, dataflow, etc. With two generations of solutions already on the road with a top global OEM, our vehicle and cloud software solutions are at the forefront of the digital transformation of vehicles.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhD San Francisco, California (Hybrid On-site): $174,900 - $199,700 for Data Science PhD Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Are you a Data Scientist with machine learning and remote sensing experience, looking to work for an exciting start-up company who offer excellent hands on training and structured progression.
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1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.
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Hands on experience using TensorFlow, PyTorch, Scikit-learn, or Spark to quickly analyze data and prototype models that can be used in high volume distributed systems; We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting.
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Experience with classical NLP algorithms and transformer-based models Hands-on experience with LLMs and Huggingface ecosystem Experience with cloud platforms (e.g., AWS, Azure) Strong shell scripting skills Powered by JazzHR.
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The ideal candidate should have hands-on knowledge on common loss forecasting methodologies (e.g. econometrics modeling, survival modeling, state transition, Markov Chain etc.) The Staff Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses.
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Have hands-on experience with manipulating large datasets using SQL (including complex joins, CTE, query optimization) and with statistical programming software such as Python or R, in combination with visualization packages for Exploratory Data Analyses and to communicate results of analyses.
$136,300 - $177,300 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Perform hands-on analysis and modeling of advertising data sets to develop insights that increase traffic monetization and retail merchandise sales, without compromising the shopper experience.
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Good hands-on skills on Python, with good knowledge of NLTK libraries. trying to build a core team of a handful of data scientist for an Enterprise Risk Management team in the business side of a Financial Services Institution.
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Hands-on fluency in performing data and statistical analysis using SQL, Python, BigQuery, R, Tableau, and/or others with minimal supervision. As a Senior Data Scientist on the Measurement Services team, you will play a crucial role in driving data-driven decision-making for our clients, including optimization of advertising strategy and the development and application of media and marketing measurement methodologies.
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3+ years of hands-on experience doing quantitative analysis, statistical modeling, optimization and/or statistics. This role is on the "Buyer Science" team: a group of data scientists who specialize in media measurement, data analysis, experimental design, and campaign optimization.
$120,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Hands-on experience mining data for decision-focused insights. Hands-on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.
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hands on jobs Title: data scientist in New York, West-columbia, South Carolina
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