Data Scientist

Key Skills

Apache Hadoop, Apache Hive, Apache Kafka, Bash scripting, C# Programming, C++, Elasticsearch, Java Programming, Kibana, Linux Operating system, PHP Programming, Python Programming, Ruby on Rails, Scala Programming, SPARK Programming, SQL

Job Description

PERATON OVERVIEW

Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our employees do the can’t be done, solving the most daunting challenges facing our customers.

RESPONSIBILITIES

Conducts in-depth analysis of unstructured and semi-structured data, utilizing statistical and programming skills to collect, analyze and interpret all types of relevant data sets. Develops and implements techniques or leverages analytical applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Applies data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Leverages hands-on experience working with data science methods, such as statistical modeling, information retrieval, graph analysis, data mining, and data visualization. Models complex business problems and possess familiarity with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testing. Develops information tools, algorithms, dashboards, and queries to monitor and improve business performance. Maintains awareness of emerging analytics and big-data technologies.

Possesses extensive experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++). Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP, and REST. Experience with Cloud-based data analysis tools, including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar. Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics. Experience with open-source textual processing such as Lucene, Sphinx, Nutch, or Solr. Presents complex data to varying audiences of different technical levels. Supports defining specific process improvement projects to identify meaningful insights, interprets, communicates findings, and makes recommendations, including process improvement opportunities. Implements continual process improvement activities, including data, processes, interfaces, tools, and technology insertion. 

QUALIFICATIONS

• PhD in Data Science, Analytics, Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields and 5-7 years of experience; Or
• Master’s Degree in Data Science, Analytics, Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields and 8-10 years of relevant experience; Or
• Bachelor’s Degree Data Science, Analytics, Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields and 10-12 years of relevant experience.
• Must possess hands-on experience using Python, R, or other languages is required to build statistical models or analyze data.
• Must have in-depth experience required with:

C#, PHP, Python, SQL, Bash, Scala, Java, Hadoop, Apache, Spark, Kafka, Hive, Kibana, and Elasticsearch.

Creating complex SQL queries and functions, data structures, and strong analytical problem-solving skills.

Experience in statistical modeling, information retrieval, graph analysis, data mining, machine learning, or related experience. 

Experience in one or more of the following: advanced software programs, algorithms, querying, automated processes, integration, and evaluation of datasets.

Possesses excellent interpersonal, organizational, writing, communications; has strong analytical, critical-thinking, and problem-solving, and briefing skills.

Preferred Qualifications:

• IBM Data Science Professional Certification or equivalent.
• Microsoft Certified: Azure Data Fundamentals or equivalent.
• Strong understanding and familiarity with Cloud technologies, resources, and tools.