Praescient Analytics has an immediate opening for Senior Data Scientist in Herndon, VA supporting the Defense Intelligence Agency(DIA).

Job Duties/Responsibilities:

• Apply technical methods to data science problems supporting business and mission users. Understands Machine Learning and is able to apply machine learning, multivariable calculus, and linear algebra techniques and approaches, including but not limited to, k-nearest neighbors, random forests, and ensemble methods. Understands Data Visualization and is able to employ visualization and data to enable data driven decisions.
• Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
• Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
• Handle processing and index requests against high-volume collections of data and high-velocity data streams.
• Ability to make discoveries in the world of big data.
• Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
• Ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.

Minimum Experience:

• Possesses an expert ability to describe findings and techniques tailored to the intended audience, including technical and nontechnical decision makers.
• 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.
• Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc.
• Experience with machine learning, algorithm analysis, and data clustering.
• Demonstrated experience with Python or R.
• Possesses knowledge and experience of advanced analytics, cloud architecture, and data storage.
• TS/SCI w/Poly

Desired Experience/Education:

• At least 8 years of relevant experience.
• Bachelor's degree in related field. Additional experience may be considered in lieu of degree.
• Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts.
• Develops and employs strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs.
• Ability to lead multi-disciplinary teams to complete complex data science projects.
• Experience with AWS or similar cloud provider
• Demonstrated experience in solving problems with structured and unstructured data.
• Experienced in applying statistical and data visualization skills.
• Strong problem-solving skills to manipulate data and draw insights from large data sets.
• Proven ability to learn and master new software, technologies, and techniques.
• Experience in two or more of the following: Python, Machine Learning, Natural Language Processing, Neural Networks, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau

Required Training/Certification:

• Demonstrated experience with Python or R
• Possesses knowledge and experience of advanced analytics and data storage
• Demonstrated oral and written communication skills
• Knowledge of various data science applications and architectures
• Python scripting, Pandas, Excel
• Jupyter Notebooks
• Data Analysis, Engineering and Enrichment
• Strong testing and verification skills
• Ability to work in a fast-paced, high visibility environment
• Active TS/SCI with CI Poly (no exceptions)

What you can expect from us:

• Real opportunity for career growth in an environment where your achievements will be celebrated
• Constant collaboration with numerous teams to ensure client success
• A team that respects and embraces your ideas and expertise
• Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
• A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:

• Very competitive salary based on qualifications and experience
• Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
• 401(k) & 4% matching
• Travel & performance incentives
• 3 weeks paid time off (plus Federal Holidays)
• $5K annual training allowance
• $500 book allowance
• Tuition reimbursement program

Praescient Analytics, LLC is a Veteran-led, certified Woman-Owned Small Business (WOSB) founded in 2011 which specializes in implementing advanced analytics solutions across the defense, intelligence, and law enforcement communities. With over 40 contracts across 6 continents, over 70% of our employees are veterans and or have intel/law enforcement experience. We fully understand the unique challenges of our clients and work to identify, vet, implement, and enhance commercial and proprietary technologies to provide full scope solutions, because we have been there. Praescient has extensive experience designing, developing, and integrating solutions for customers including the US Army, Special Operations Command (SOCOM), US Navy (USN), US Marine Corps (USMC), US Coast Guard (USCG), Department of Justice (DOJ), Drug Enforcement Administration (DEA), and Federal Bureau of Investigation (FBI), Immigration and Customs Enforcement (ICE), intelligence community, and local law enforcement agencies, among others.

Praescient Analytics is committed to providing equal employment opportunities for all. Employees and applicants without regard to race, color, age, religion, sex, sexual orientation, marital status, gender identity, national origin, legally protected physical or mental disability, genetic information, citizenship status, or status in the uniformed services of the United States, status as a disabled veteran or veteran of the Vietnam era, or on any other basis which is protected under applicable law. This includes a commitment to provide a work environment that is free from all forms of illegal harassment including sexual harassment.

This covers all terms and conditions of employment including (but not limited to):

• Hiring, placement, promotion, transfer, or demotion of all job classifications;
• Recruiting, advertising, or solicitation for employment;
• Treatment during employment;
• Rates of pay or other forms of compensation;
• Benefits;
• Selection for training;
• Company sponsored social and recreational activities; and
• Layoff or termination

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Praescient Analytics is an Equal Opportunity Employer.
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.


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