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We have access to Python, Snowflake, SQL, DBT. Our data visualization tool is Looker. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with Python, SQL, and modern data products to build and test data-intensive applications. Hands-on experience with at least one cloud platform (AWS or Google Cloud) and at least one modern big data product such as Databricks, Snowflake, and BigQuery.
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As a Data Scientist, youll use your full toolkit statistical modeling, machine learning, data mining, data visualization, and software engineering to develop data products and models that are used by millions of users and power the growth of our business.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with modern data storage and processing technologies (i.e. BigQuery SQL, Airflow, and DBT or similar) Collaborate closely with data science, machine learning, and engineering teams to improve the coverage, accuracy, and reliability of instrumentation.
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This includes SQL expertise, knowledge of cloud data warehouses, cloud provider services (AWS, Google, Azure), ETL/ELT tools, data modeling/engineering, data science/machine learning, api consumption, scripting (python preferred), general networking knowledge and cloud SaaS applications (Zendesk, Salesforce, Marketo, etc.
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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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AI (our comprehensive term for data science, machine learning, and deep learning) is the key technology that gives our platform its unique edge over our competition. Knowledge of best practices related to Data lakes, Data lake governance, Data Security (e.g., HITRUST), and Data Integration & Interoperability.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Senior Data Scientist works with Data Scientists to use high-level software tools (e.g., R, SQL, Netezza, SAS, Stata, Git, Python) to clean, build, sample, and prepare data for analysis, build analytics models, and conduct econometric/statistical analysis.
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. Extensive experience in SQL and using database platforms such as BigQuery, MySQL, Redshift or Snowflake. The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Proficiency in SQL and familiarity with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena. Bachelor's or Masters degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in programming languages like Python , SQL, and working with big data tools like Spark and Hadoop. Expertise in machine learning, predictive modeling, data mining, and advanced statistical techniques.
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In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
$250Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Required Skills & Experience 3+ years of Data Engineering experience Software development background SQL NoSQL Database experience Python AWS (EMR, RDS, Redshift, Kinesis) Hadoop or Spark Desired Skills & Experience Masters degree or higher in Computer Science or related field.
$145,000 - $175,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally.
Starting at $250InternExpandApply NowActive JobUpdated Today
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