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Seeking qualified candidates for a Sr. Data Scientist/Analyst in Baltimore, MD.
The candidate will build algorithms to meet business requirements and use statistical, mathematical, and predictive modelling skills to build a comprehensive platform for data analysis; use Business Intelligence tools to create analytical models; integrate data sets and work with multiple systems to extract and use data for deeper analysis; have the ability to use the Hadoop environment with Hive and MapReduce skills; be able to build programs in programming languages and scripts; have an understanding of and use skills for Natural Language Processing, Machine Learning, Statistical Analysis, Predictive Modelling, and Hypothesis Testing.
Skills Requirements:
Skills required:
•Experience with statistical analysis and machine learning.
•Proficiency with a scripting language (R, Python, or equivalent).
•Proficiency with SQL.
•Proficiency at transforming data, data classification and translations, as well as resolving data quality and data cleansing
•Experience working in a Hadoop environment (Cloudera, Hortonworks, or equivalent), including proficiency with Pig, Hive, and Spark
•Must be able to pass a Federal Suitability Check for a position of public trust.
•Excellent research, analytical, written and oral communications
•Comfortable as an individual contributor to team activities.
Desired Skills:
•Experience with healthcare and healthcare systems.
•Experience with NoSQL databases (MongoDB, ElasticSearch, or similar).
•Advanced skills/expertise in data mining, natural language processing (NLP), and/or distributed computing.
•Intermediate design and use of relational databases including experience working with working knowledge of dimensional modeling, star schemas and working with time-series data.
•Experienced software development lifecycle skills, including requirements gathering, agile methodology, and testing/profiling.
Education: Masters’ degree minimum (PhD preferred) from an accredited college in a related discipline, with 11 years of professional experience. 11 years of professional experience with over 3 years of practical hands-on work experience using Data Science methodologies and tooling outlined under “Required Skills” in this requisition
