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Your technical skills in relevant programming languages, frameworks, and tools such as Python, Java, SQL, Spring Boot, Spark, Data Lakes, and experience with cloud platforms and search engines will be critical to your success in this role.
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As we continue to expand, we are seeking an experienced Principal Data Engineer with expertise in data engineering and AI/ML. In this key role, you will take ownership of driving innovation and leading the technology strategy for modern data platforms across data warehouse, tooling, integrations, and AI/ML. You will collaborate with cross-functional leaders to deliver impactful data solutions that directly influence our business outcomes.
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Using technologies built in the United States, SGS advances government operations by analyzing complex data to inform and accelerate intelligent decisions, applying predictive and prescriptive analytics to improve logistics and readiness, deploying autonomy technology for unmanned systems, using natural language processing for large scale processing of unstructured data, and more.
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Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform. Collaborate closely with ML modeling teams across motion planning, systems engineering, and other autonomy groups to define ML workflow requirements and build critical data services.
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Design, configure, and manage Data Lakes in GCP, utilizing services like Google Cloud Storage, BigQuery, and Dataproc, to support diverse data types and formats for scalable storage, processing, and analytics.
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Minimum 4 years’ experience with various AWS cloud technologies and data lake management - S3, Lambda, Airflow, Redshift, Athena, Glue. Able to demonstrate working knowledge of data clean-room technologies including creating secure data shares using RBAC. Knowledge of Snowflake Native apps (v6+) preferred.
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Splash Financial is seeking an experienced Data Scientist with strong programming skills in Python and experience creating complex algorithm models. They constantly seek improvement, set high standards for data quality and analysis, and troubleshoot issues methodically using various data science tools.
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4y+ Experience with designing, evaluating and deploying AI/ML models using current AI/ML frameworks and tech stacks, big data (distributed) platforms (e.g. Python, R, SQL, SparkR, PySpark, TensorFlow, PyTorch, etc.
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5+ years’ experience as a Data Architect or in a similar Data Product Owner or Data Engineering role with a focus on data governance and strategy. Be responsible for collaborating with cross-functional teams to build and oversee data strategy, governance, procedures, and frameworks, ensuring the effective quality, management, organisation, and utilisation of data assets.
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The HR Data Analyst will collect, organize, interpret, and summarize human resource data to provide usable information to assist HR with decision making, policy formulation, workforce planning or other Human Resource functions.
$75,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. 1+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
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Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks. Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB.
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ASHRAE Commissioning certification, desired and/or in-depth understanding of ASHRAE Commissioning process as it relates to Commissioning activities associated with MEP Systems, including data center defined commissioning Levels 1 through 5.
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Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, Data Lineage: Tracking the origins, movements, and transformations of data throughout its lifecycle.
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As a data scientist in the Pay, Incentives, and Marketplace Coordination team, you will work on challenging analytical, experimental, and inferential problems to understand and expand the efficient frontier of a balanced, sustainable, and resilient multi-sided marketplace.
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Title: data Company: Iqtalent Partners in Jackson, MS
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