Position Description:
The Senior Data Scientist/Analyst will build algorithms to meet business requirements and use statistical,
mathematical, and predictive modelling skills to utilize 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:
Required Skills :
• 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
testi ng/profiling