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Pursuing a degree in data science, computer science, earth system science, or a related field. The primary scope of this position includes supporting tasks relevant to earth system and renewable energy system data collection, preparation, analytics, and visualization approaches, and contributing to literature review, technical reports, and exploration of machine learning and deep learning algorithms.
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Build out data science and statistical models developed in R&D to scale as functioning and productive automated applications that handle large datasets and/or real time data.
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Develop data science applications for visual inspection and classification, anomaly detection, predictive maintenance, NLP, or root cause analysis using computer vision, machine learning and deep learning.
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5+ years combined work experience and/or advanced education in developmental psychology, social science, lifespan development, minor safety and wellbeing policies, behavioral or social science, and preferred experience in content policy, brand safety, tech policy, public policy, social media, and/or Trust & Safety.
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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
$252,450 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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A minimum of 3 years in data science focused on Marketing, with extensive experience in developing Bayesian models for MMM/MTA. We are looking for a Senior Data Scientist specialized in Marketing Analytics to join our rapidly growing data science team.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in data science tools and programming languages, such as Python, R, SQL, and machine learning libraries. Job Overview: We are looking for an HR Data Scientist to apply advanced analytics and data science techniques to HR data to drive strategic decision-making and improve organizational effectiveness.
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The Senior ML Engineer works as a member of the machine learning team developing and supporting infrastructure serving our data science and artificial intelligence (AI) models. This team interfaces with the product and data science teams to build systems to meet customer objectives securely, ethically and safely.
$174,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates working towards a Master’s degrees or a PhD in quantitative disciplines such as Data Science, Statistics, Applied Mathematics, Computer Science, Bioinformatics, Computational Linguistics or related quantitative disciplines.
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Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS)What could set you apart:Bachelor's or Master's degree in computer science, engineering, or a related field. What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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The selected candidate will work with diverse teams of engineers and scientists with backgrounds in Active Electronically Scanned Arrays (AESAs), Computational Electromagnetics Modeling, RF Test, Mechanical, Structural and Thermal analysis, Material Science, Process and Manufacturing Engineering and LO technology.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago
data science out jobs in Austin, TX
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