Data Scientist, Mid Job Description
Data scientist, mid
provides subject matter expertise in data analytics, statistical methodology, classification algorithms, and programming in applications such as R and Python.
Data Scientist, Mid Duties & Responsibilities
To write an effective data scientist, mid job description, begin by listing detailed duties, responsibilities and expectations. We have included data scientist, mid job description templates that you can modify and use.
Sample responsibilities for this position include:
Perform Data Science against classified datasets using data science tools such as Natural Language Processing (NLP), Semantic Web RDF/OWL, GraphData Store Databases, XML Databases, Microservices, Artificial Intelligence, Machine Learning, Predictive Analysis
Provide software coding in languages such as Python
Shall provide on-site data science support to advance Americas and Transnational Threat Center (ATTC's) digital foundation in counter narcotics data for Artificial Intelligence (AI), Machine Learning (ML), data mining algorithms, probability modeling, and other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of intelligence information
Shall apply technical expertise to leverage in-house tools such as Rand Python scripts to generate insights into existing data stores, to include Consolidated Counterdrug Database (CCDB)
Mine and analyze raw data to drive optimization and improvement of R&D solutions
Data entry into the digital foundation in counter-narcotics data Artificial Intelligence ( AI), Machine Learning (ML), data mining algorithms, probability modeling, and other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of intelligence information
Apply technical expertise to leverage in-house tools such as Rand Python scripts to generate insights into existing data stores, to include CCDB
Developing examples and supporting documentation showing data scientist how to utilize the platform
Represent the needs of data science users to product management
Build extensions and client libraries to the platform that simplify the life of users
Data Scientist, Mid Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Scientist, Mid
List any licenses or certifications required by the position: SQL
Education for Data Scientist, Mid
Typically a job would require a certain level of education.
Employers hiring for the data scientist, mid job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Mathematics, Statistics, Physics, Science, Engineering, Computer Science, Technical, Economics, Data Analytics, Applied Mathematics
Skills for Data Scientist, Mid
Desired skills for data scientist, mid include:
Python
Statistics
Capabilities
Object-oriented programming
Machine learning
Commercial Cloud services used by the IC
Limitations
R
Various machine learning algorithms and their designs
Statistical analysis techniques
Desired experience for data scientist, mid includes:
MS degree in CS, Physics, Statistics, or Mathematics preferred
MA or MS degree in CS, Statistics, Operations Research, or a related field
Scheduled to obtain an MBA or MS Business Analytics degree in Dec 2016 or May 2017
1+ year of experience with data analytics or engineering
Experience with MEAN stack technologies (AngularJS, Node, Express,MongoDB)
Experience with database technologies such as MongoDB andPostgres/PostGIS
Data Scientist, Mid Examples
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Data Scientist, Mid Job Description
Job Description Example
Our company is searching for experienced candidates for the position of data scientist, mid. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data scientist, mid
- Represent the platform to technical audiences, in face-to-face and virtual environments
- Participation in implementation projects at CGI`s clients
- Gather unstructured data and automate data collection from multiple websites
- Integrate and scale data to create a unified market view
- Shall employ deep knowledge of existing and emerging “big data” processing tools and techniques useful in delivering strategic insights to policy makers in the counterdrug mission
- Shall identify new classified and unclassified data stores of massive size and relevance to the counter narcotics mission to enhance CCDB data enrichment efforts or provide unique analytic insights into counterdrug issues
- Shall employ exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence
- Shall prepare products to describe and document findings and activities
- Shall identify and evaluate a wide range of existing methods, models, and algorithms to develop more accurate and/or objective quantitative analysis approaches for CCDB data completeness, accuracy and consistency
- Shall clearly articulate opportunities, risks and assumptions with applied methodologies
Qualifications for data scientist, mid
- BS degree in Statistics, Mathematics, Physics, or CS preferred
- Experience using Bootstrap and D3
- Knowledge of web application build tools such as Grunt
- Java to include REST/SOAP web services
- Knowledge of LIDAR and point cloud file formats
- Experience using R and Shiny
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Data Scientist, Mid Job Description
Job Description Example
Our company is searching for experienced candidates for the position of data scientist, mid. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data scientist, mid
- Shall communicate findings to a wide variety of customers, in both written and verbal formats
- Initiate the experimentation of various technologies and tools with the vision of creating innovative data driven insights for the business
- Identify data patterns and trends
- Perform graphical model analysis
- Possess a solid machine-learning foundation
- Establishing efficient, automated processes for model development, validation, implementation, and large-scale data analysis
- Prepare presentations and technical reports to illustrate and explain analyses, tools, applications and findings
- Use analytical and statistical tools to evaluate data and aid in decision making
- Manipulate common data formats, including comma-delimited, text files, and JSON
- Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available tools
Qualifications for data scientist, mid
- Growth of data science deliveries and capabilities development
- Level data scientist playing a critical role in the rapid growth of data science deliveries and capability development
- Experience with version control systems, including Github or Gitlab and the design and development of an object
- Experience with Java programming and object oriented design
- Strength in math and algorithm development
- An MS in Computer Science or some grad-level coursework preferred
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Data Scientist, Mid Job Description
Job Description Example
Our company is looking for a data scientist, mid. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data scientist, mid
- Work with clients to prioritize research and modeling initiatives
- Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to client research questions
- Support the development of a mature analytics function informed by industry best practices
- Work in a fast-paced, solutions-oriented, and collaborative environment focused on client deliverables, analysis, and reporting
- Employ deep knowledge of existing and emerging " big data" processing tools and techniques useful in delivering strategic insights to policy makers in the counterdrug mission
- Identify new classified and unclassified data stores of massive size and relevance to the counter-narcotics mission to enhance CCDB data enrichment efforts or provide unique analytic insights into counterdrug issues
- Engage in exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence
- Identify and evaluate a wide range of existing methods, models, and algorithms to develop more accurate and/or objective quantitative analysis approaches for CCDB data completeness, accuracy and consistency
- Participate in special projects / surge support as required
- Provide analytical support to the Army Recruiting Command in collaboration with the Army Enterprise Marketing Office
Qualifications for data scientist, mid
- Experience with presenting data analytics results to help senior leaders make data-driven decisions
- Knowledge of virtual reality capabilities
- Ability to work as part of a data analysis team, including coordinating with domain, software, database, and mathematics experts to delivery client ready products
- Experience with military aviation terminology and organizations
- Knowledge of naval aviation data systems and decision making processes
- Ability to learn new terminology and the decision making styles of clients very quickly
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Data Scientist, Mid Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of data scientist, mid. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data scientist, mid
- Facilitate access to all-inclusive marketing event and response details that encompass both national, local, and virtual marketing platforms
- Assess marketing effectiveness at all levels
- Design data structures that can house market-event-results type of data for the development of predictive marketing analytics to inform future decisions on marketing resources
- Learn and become fluent in the details of security related domains in order to devise data driven solutions – this can range from software fuzzing to micro-electronic supply chain analysis
- Improve existing techniques and devise new techniques to solve security data problems
- Independently propose and develop creative solutions to unique problems, potentially leading IR&D projects
- Manipulate / create social media analytics and data to strengthen marketing campaign effectiveness
- Responsible for building, maintaining, and documenting the variant discovery bioinformatics pipeline in a cloud environment
- Maintain variant discovery pipeline
- Data QC and creating templates or apps to enable others to QC their own data
Qualifications for data scientist, mid
- MS degree in Data Science or related field
- BS degree in Data Science, Operations Research Systems Analysis, Science, Technology, Engineering, or Mathematics required
- Experience with joint planning, building partner capacity operations, expeditionary operations a plus
- MS degree in Data Science, Operations Research Systems Analysis, Science, Technology, Engineering, or Mathematics preferred
- BS degree in Data Science, Industrial Engineering, Operation Research Systems Analysis, Science, Technology, Engineering, or Mathematics required
- MS degree in Data Science, Industrial Engineering, Operation Research Systems Analysis, Science, Technology, Engineering, or Mathematics preferred
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Data Scientist, Mid Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of data scientist, mid. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist, mid
- Machine learning tools/packages
- Develop modeling tools to assess imaging data for real-time applications
- Review design-of-experiments for statistical power validations
- Work with Software and Imaging Engineers to integrate statistical modeling tools into
- Responsible for modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques
- Translates non-technical requirements into experimental design and data acquisition requirement to gather the right data
- Does ad-hoc analysis and presents results
- Working independently and collaboratively in a team, on strategic projects to develop complex data models and solutions
- Analyzing, interpreting, and extracting data to support decision-making, engaging with customers to understand changing requirements, and recommending solutions based on quantitative analysis
- Independently compiles and reviews often disparate and inconsistent data to address complex intelligence issues or problems for internal/external customers
Qualifications for data scientist, mid
- Ability to carry out complex projects in data science and analytics with minimum supervision
- BS degree in CS, Physics, Engineering, Statistics, or Operations Research
- Secret or higher clearance preferred
- MS degree in CS, Physics, Engineering, Statistics, Operations Research, or a similar technical field
- MS degree in Data Science, CS, Physics, Statistics, Mathematics, Earth Science, Geographic Information Science, or Quantitative Social Sciences preferred
- PhD degree in Human Genetics, Computational Biology, Bioinformatics, or Computer Science