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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Inclusively is partnering with a multinational financial services company to hire a Data Science Associate.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Knowledge of and experience with medical terminology, controlled terminology, clinical data standards is a plus.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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The successful candidate has a scientific background in operations research, engineering or other STEM field and has expertise in one or more of the following areas: data science, data analytics, data engineering, data visualization, supply chain planning, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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Automation experience is a plus in Java, Python, R, Selenium, Maven, IntelliJ Idea (Preferred) Experience with Data warehouse, Data lake MS Azure (Preferred.
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Key Responsibilities:Data Integration: Design and implement data integration solutions using AWS services, Databricks, and Python. Big Data Platforms: Experience with Databricks for big data processing and analytics.
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Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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Strong digital marketing analytics skills, such as but not limited to web analytics, contextual advertising, email, AI/ML, surveys, big data, data-driven decision making, customer data management, search engine optimization (SEO), search engine marketing (SEM.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis.
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Demonstrated experience working with large data sets, survey dataset experience is a plus. Working knowledge and experience using one of statistical computer languages (R, Python, SQL, Stata, etc.
$65,260 - $94,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with programming languages is a plus (R, Python, dbt, SQL)Knowledge of statistical techniques (multivariate regression, optimization, clustering, forecasting)Experience creating data visualizations in support of storytellingLocation: Ideal is a candidate with proximity to our NYC or LA office.
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Proficient in programming and data analysis e.g., R, Python, SQL. Familiarity with data visualization tools such as Spotfire or Tableau is a plus. Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred.
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Minimum 5 years of experience utilizing various tools such as Python, R, SQL, or Tableau, and reporting platforms with the ability to represent data through reports, dashboards, scorecards, or KPIs. In lieu of 5 years of analytics tools experience, a Master's Degree in a relevant program plus 2 years of experience will be considered.
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big data science a plus r python jobs Company: Endeavor
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