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3 years of experience designing data models, data warehouses, and using SQL and NoSQL database management systems along with data processing using traditional and distributed systems (e.g., Hadoop, Spark, Dataflow, Airflow.
$174,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data Analysis: Conduct advanced data analysis to uncover insights, identify trends, and develop actionable recommendations, using statistical analysis techniques, machine learning algorithms, and data visualization tools.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies.
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Deploy and manage data processing workflows and machine learning models on Google Cloud Platform (GCP), leveraging services such as BigQuery, Dataflow, and AI Platform. · Leverage programming skills in Python to perform data manipulation, statistical analysis, and machine learning tasks.
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The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Primary Skills: Data Science, Machine Learning, Marketing Analytics. Data Science, Machine Learning, Marketing Analytics. Apply machine learning techniques for classification, regression, and clustering to derive insights from complex data sets.
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SoFi's Data Science team is seeking an experienced Senior Staff Data Scientist to help lead our machine learning efforts. The ideal candidate has a deep understanding of machine learning algorithms, strong programming skills, and a proven track record of driving successful data science projects from conception to deployment.
$297,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert in at least one programming language for data analysis (Python or R) and SQL. 4+ years in industry experience and a Masters degree (PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) In this role, you’ll be embedded in the Risk & Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring.
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Experience coding Python, R, SQL or other languages that could be most relevant to the field of data visualization. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Work with the DevOps team on defining the infrastructure requirements for data products to operate reliably at scale, serving analytics and machine learning, and other use cases. Implement SQL queries for RedShift, and/or a Hadoop job on EMR; and define and implement computational tasks on Spark and other High-Performance platforms.
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Expert knowledge of data analytics and modeling using SQL, Python, and machine learning/analytical packages. Develop machine learning models to predict default. May lead/mentor junior data scientists.
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Special Skill Requirements: (1) Object-oriented programming (Java and Python); (2) SOAP and REST APIs; (3) Software Quality/Testing; (4) SQL; (5) Amazon Web Services (AWS); (6) Database Management Systems; (7) Integration and ETL technologies; and (8) Machine Learning.
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Your work will be highly visible and impactful, and involve partnering with the Machine Learning, Engineering, Product, and Data Science teams. You’re comfortable building complex SQL queries independently across multiple data sources and have experience with data visualization and dashboarding tools.
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A background is building data views and analysis for Privacy initiatives, as well as working knowledge of key KPIs that indicate strong Privacy performanceExpert skills in SQL and expert in at least one programming language for data analysis (Python or R.
$65 an hourFull-timeExpandApply NowActive JobUpdated Today
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