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Data Science Model development using machine learning, deep learning also involving machine and sensor data processing. Innovating and creating intellectual property in the space of AI and data science solutions applied to predictive and preventive maintenance of critical equipment.
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Unsere Tätigkeit erstreckt sich über mehrere Bereiche von Spitzentechnologien wie KI, Machine & Deep Learning, BI/BD, RPA, Blockchain, IoT und CyberSecurity. Als Senior Big Data Engineer arbeitest Du in mehreren Teams mit u.a. Data Engineers, -Architects und -Scientists zusammen, um hochmoderne Data Analytics-Plattformen aufzubauen und zu betreiben.
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The Life & Annuity Predictive Analytics (LAPA) business unit is a lean, agile, diverse, and geographically distributed data science startup within Milliman. Software engineering skills for data science (Python, R.
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Experience with SQL, Python, Data Warehousing, DBT, Airflow and Kafka. You have experience with Data Warehousing, Airflow, AWS, Kafka and dbt. At least 5+ years of data engineer and/or software development experience.
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Bachelor's/Master's degree in Computer Science or Data Science, related experience of at least 1 year, expertise in Excel, Google Sheets, Looker Studio. Experience as a Data Engineer/Data Scientist, skills in designing frameworks, working with DE/ML frameworks, obtaining data from APIs, FTP, and Data Science libraries and frameworks.
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Build and deploy scalable data engineering solutions on the cloud for engineering, analytics & data-science consumers. Experience in big data technologies(Apache Hadoop/Spark/Hive/Presto.
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5+ years of hands-on experience in applied data science and/or economic research (real estate or housing experience preferred). Coding ability and intimacy with the data science toolkit in an applied context (R, Python, Pandas, NumPy, SQL.
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Technical Skills : Proficiency in Python, data modelling, Snowflake, SQL, dbt, Airflow, Spark, Machine Learning, Data Analytics, & AWS. – BS or MS in Computer/Data Science or related degrees.
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At least 2 years of experience in a data engineering, data science, or analyst role at a high-growth or early stage startup — or equivalent open-source/personal project work. Familiarity with modern data tools such as BigQuery, Snowflake, Metabase, dbt or their equivalents.
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Technical Skills Required-Expert knowledge in the following systems/applications: Python and/or R Programming – Machine learning/statistical methods, quantitative analysis and data modeling.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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We develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.
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Experience implementing solutions using at least one of the following technologies Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Data visualization skills using business intelligence solutions including at least one of Looker, Tableau, Periscope, Pentaho, or Microstrategy. Fluency in at least one modern language useful for data processing (e.g. Python, Scala.
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deep learning data science jobs in Snowflake, AZ
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