Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) We're looking to hire a Data Scientist to take the lead on advanced analytics and predictive modeling to serve the needs of our business today and for a broader scale years from now.

Demonstrated competence in informatics, information integration, data extraction, transformation, & loading (ETL), and/or knowledge modeling. We have an excellent opportunity for a highly motivated data/curation scientist within our new Oncology Data Improvement group.

That Data Scientist provides analysis and develops and maintains software tools for clinical and scientific problems in the Bioinformatics and Computational Biology department. Performs data extraction, transformation, and loading(ETL) activities for relational datasets.

Working knowledge of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), ETL Tools (DBT, Airflow), Data Warehouses (Snowflake, Databricks). As a Senior Data Scientist at Qventus, you will have the opportunity to explore Qventus’ unique and rich Healthcare dataset to develop cutting edge ML based solutions.

Familiarity with all, and expert in some of the below: Databricks or Spark, MPP databases, ETL, data warehouse design, feature store design, monitoring tools. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital, AI capabilities, we are seeking a Principal Scientist for Data Platform Optimization.

Preferred Skills (Data Scientist) Required Skills (Data Scientist) Demonstrated experience with ETL pipelines and workflows - Jenkins / Airflow / any other ETL orchestration framework.

Integrating and fielding a range of talents and personnel spanning the full landscape of data scientist skillsets: ETL, mathematics and modeling, data engineering, visualization and storytelling, platform integration and data analytics.

Build project-specific data pipelines (ETL processes) and validation tools using Python, SQL and AWS cloud technologies. Experience with data warehousing and high speed data analytics processing frameworks like Apache Spark, Kafka, Redshift etc.

Build data ingestion processes using Google cloud ETL tools (Data fusion, Dataflow, Dataproc, Airflow) Data scientist resource will be member of Client's Enterprise Data and Advanced Analytics team, working with cross-functional teams to leverage data and advanced analytical techniques and deliver data-driven solutions within an organization.

Design, develop, and maintain data pipelines and ETL processes using Azure Databricks, and other Azure data services. We are seeking a talented and experienced Data Engineer/Data Scientist with expertise in Microsoft Azure to join our team.

Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulation. Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes.

Experience with quantitative finance, time-series modeling, cloud platforms (AWS, Azure or GCP), building ETL pipelines, leveraging NLP to extract features from text data and deep Learning frameworks (Tensorflow or Pytorch) a plus.

Familiarity with ETL data engineering techniques using PySpark within Databricks/Snowflake. Ingredion is hiring a Data Scientist who will be part of a multidisciplinary team focused on establishing In Silico experimentation capabilities and Artificial Intelligence technologies for product innovation.

Data Scientist (ETL) - TS/SCI w/Poly page is loaded. Data Scientist (ETL) - TS/SCI w/Poly. The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment.

Ability to understand large data sets and use appropriate technologies and methodology to manipulate data (e.g. SQL, R, Python, ETL pipelines) We currently have a full-time opportunity as a mid-level Data Scientist at Plato Systems.