Latest Data Analysis & Reporting Jobs

Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing

We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks). You should

You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into a production environment, ideally as part of product teams delivering to external customers. You will design and ship predictive models and data products, improve the quality a

Role: Data Scientist – Machine Learning Focus. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. As a Data Scientis

This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. Develop, manage, and maintain batch pipelines supporting Machine Learning workloads. Proficiency in in the Hadoop ecosystem with Map Reduce, Oozie, Hive, Pig, HBase, Storm.

At least 2+ years of experience with Big Data & Analytics solutions Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies. Cloud Analytics In Big Data/Hadoop. At least 4+ years of

At least 5 years of Design and development experience in Big data, Java or Datawarehousing related technologies. Must have experience working on Big Data Processing Frameworks and Tools MapReduce, YARN, Hive, Pig. At least 3 years of hands on design and development experience on Big data related tec

Developing reports and analytics using data from data warehouse and Salesforce using Excel, SQL, Tableau, and other reporting/analytics tools. Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; Designs workflows and procedures.

BigData and Hadoop Ecosystems, BigData and Hadoop Ecosystem - MapR. Must have good experience working in large scale application development using Big Data ecosystem. Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python.