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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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Stay at the forefront of advancements in machine learning and data science techniques and identify opportunities for their application in AdTech. 3-5 years of hands-on experience in data science with a focus on AdTech, advertising optimization, recommendation systems, or related areas.
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A Scientist position focused on data science and process modeling is available within the Manufacturing Sciences and Technology (MSAT) team. The position will work across the Pharmaceutical's Global Supply (PGS) organization in conjunction with the Bioprocess R&D organization to develop multivariate data analyses, machine learning models, mechanistic models, and simulations for the characterization of bioprocesses and operations at multiple scales.
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Reporting to the Director of Data Science, the Business Analyst will assist in manipulating large data sets, automating data extraction processes, and developing analysis solutions using business intelligence platforms to address service reporting requirements.
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Enhance/Develop/Sustain current decision support tools or replacements along with internal and external portals using data/ tools such as Army VANTAGE, ADVANA, Microsoft Power Automate, data visualization tools (Tableau, Qlik, PowerBI), Python with data libraries of (PySpark, Pandas, NumPy), Structured Query Language (SQL), Statistical Analysis System (SAS), Oracle, Microsoft Azure, Microsoft Suite of products, machine learning methods, and other data analytics tools, as necessary.
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Coordinate data analyses and research efforts using CIR data with other units within BOI, DOHMH, and CDC. Works closely with DOHMH research scientists and technical staff to plan, develop, implement, and evaluate protocols and research related to CIR data quality assurance.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Conduct data quality and gap analysis, develop a maturity plan and collaborate with data source owners on data sets Responsible for delivering Apptio system integration, enhancements, and optimization capabilities for dashboard reporting.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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BS in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 2-4+ years of relevant data science/analytics experience in the pharmaceutical industry or MS with 0-2+ years relevant experience.
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Devising solutions to largely-undefined data engineering and data science problems. Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar.
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Prior experience applying data science techniques to oil and gas drilling data. 5+ years' applying data science techniques to oil and gas automation projects. Provide guidance on algorithm design, research, deployment, and general operations to the data science team as a whole.
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Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage. We are seeking a skilled Data Engineer with extensive experience in DBT, Snowflake, and Azure, along with proficiency in Python and SQL. The ideal candidate will have a strong understanding of data modeling principles and a proven track record of developing robust data pipelines and architectures.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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data job Title: science director Company: Indeed
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