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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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Knowledge of big data technologies, Hadoop, Spark, or NoSQL databases. Experience in Big Data - e.g. Hadoop. - Cert. in data science or a related field (e.g., Certified Data Scientist.
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The Data Scientist proactively seeks to develop their skillsets and provide value-added support within the Data Science team. - Experience with data visualization tools, such as Matplotlib, Seaborn, or Plotly.
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Job title: Data Scientist. Stay current on new processes and technology in Data Science and communicate findings to team. - Experience with data science libraries and frameworks, including NumPy, Pandas, and scikit-learn.
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Apply knowledge of statistics, data modeling, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries. Build tools that help you and the other Data Scientists translate insights into action at scale.
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Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation. Understand data sources and limitations, warehousing system and the impact of the data on business decisions.
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Data Scientists produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Acquire and bring structure to data so that it can be used in existing and new data systems.
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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
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Provide expertise and translate the business needs to design; conceptualize, develop, and support tools, techniques, metrics, and dashboards for insights and data visualization. Act as an analytics translator between business data consumers to drive business outcomes with sound, data-driven recommendations.
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Identify, retrieve, and manipulate data from internal and external datasets. Requires experience with visual analytical packages such as Tableau or Microsoft Power BI. Exp w/ deep learning frameworks, TensorFlow or Keras.
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Healthcare background (medical claims/payment integrity) Other programming experience - Java, Perl, Python, UNIX/Linux scripting. Must have applied experience with advanced analytics e.g. predictive analytics models.
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Requires experience with Object oriented programming such as Python or Java. and statistical packages – 3 years of SAS, SAS EG, and SAS EM, 1 yr of R or Python. Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.
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Only USC/ GC- on W2. Familiarity with machine learning algorithms and models, including supervised and unsupervised learning. Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.
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Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture) Cerberus Technology Solutions (CTS) is a subsidiary of CCM focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations.
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Big Data Platforms : Experience with Databricks for big data processing and analytics. Certifications : AWS Certified Solutions Architect or AWS Certified Big Data – Specialty.
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big data jobs Company: Chipotle in NJ, France
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