Data Scientist, Mid Resume Sample

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Work Experience


Data Scientist, Mid
05/2017 - PRESENT
New York, NY
  • Experience with analyzing large data sets
  • Experience with programming and scripting languages, including Python
  • Effectively communicate results to technical and non-technical audiences
  • Experience with at least one statistical analytical programming language, including Python or R
  • Experience with using relational databases, including MySQL
  • Experience in identifying analytic insight in data, developing visualizations, and presenting findings to stakeholders
  • Knowledge of object-oriented programming, including Java and C++
Devops Data Scientist, Mid
03/2012 - 11/2016
Dallas, TX
  • Knowledge of various machine learning algorithms and their designs, capabilities, and limitations
  • Build complex extraction, transformation, and loading (ETL) pipelines to clean and fuse data together
  • Experience with identifying analytic insight in data, developing visualizations, and presenting findings to stakeholders
  • Carry out complex projects in data science and analytics with minimal supervision
  • Experience with machine learning, data mining, statistics, or graph algorithms
  • Experience with using R, Perl, Python, SAS, or SPSS for data analysis
  • Experience with designing and implementing machine learning, data mining, statistics, or graph algorithms in an academic or professional work environment
  • Experience with modeling and simulation

Education


The University of Kansas
2008 - 2012
Science's Degree in Data Science

Professional Skills


  • Access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, Splunk, and other open source and emerging tools
  • Experience with drawing conclusions and communicating those conclusions effectively
  • Experience in technical UNIX software development with 3 years of experience in Solaris and CentOS operating systems
  • Experience with designing and implementing machine learning, data mining, statistics, or graph algorithms
  • Experience with designing and implementing machine learning, data mining, statistics, or graph algorithms in an academic or professional environment
  • Experience with developing solutions, integrating, extending, and contributing to open–source software
  • Experience with designing and implementing machine learning, data mining, statistics, or graph algorithms

How to write Data Scientist, Mid Resume

Data Scientist, Mid role is responsible for software, integration, gis, database, marketing, logistics, security, java, analysis, design.
To write great resume for data scientist, mid job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Data Scientist, Mid Resume

The section contact information is important in your data scientist, mid resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Data Scientist, Mid Resume

The section work experience is an essential part of your data scientist, mid resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data scientist, mid responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data scientist, mid position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Data Scientist, Mid resume experience can include:

  • Experience with predictive modeling, including machine learning
  • Experience with developing requirements for and building statistical or machine learning models
  • Experience in working with transactional data using reporting guidelines set for the US Standard General Ledger accounts
  • Experience with using programming languages, including Python, R, or Java to manipulate and analyze data
  • Experience with programming in an object-oriented programming language, including Java or Python
  • Experience with applying various machine learning techniques and understanding the key parameters that affect their performance

Education on a Data Scientist, Mid Resume

Make sure to make education a priority on your data scientist, mid resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data scientist, mid experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Data Scientist, Mid Resume

When listing skills on your data scientist, mid resume, remember always to be honest about your level of ability. Include the Skills section after experience. Present the most important skills in your resume, there's a list of typical data scientist, mid skills:

  • Possession of excellent oral and written communication skills to clearly and concisely communicate complex concepts to clients, researchers, and onsite staff
  • Work as part of a team and effectively communicate with clients
  • Experience with developing analytic applications on Cloud environments using scalable computing technologies, including Spark, Hadoop, Pig, or Hive
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts
  • Experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and natural language processing
  • Experience in programming and scripting with languages and technologies, including Java, NoSQL, or Python

List of Typical Experience For a Data Scientist, Mid Resume

1

Experience For CS Data Scientist, Mid Resume

  • Experience with programming using R Shiny and Python
  • Experience with creating analytical solutions using mathematical techniques
  • Experience with object–oriented programming, including Java, Python, Scala, or JavaScript
  • Experience in working with SAS and Tableau
  • Experience with statistical models, quantitative analysis, and interpreting results into recommendations
2

Experience For Devops Data Scientist, Mid Resume

  • Experience with developing algorithms and data visualizations
  • Experience with using SQL to conduct complex database queries
  • Experience with IC collection reporting and analytic production
  • Experience with writing briefings for internal leadership, the client, or external audiences
  • Experience with data science and algorithm development for data analysis
3

Experience For Data Scientist, Mid Resume

  • Experience with distributed scalable Big Data store or NoSQL, including Accumulo, Cloudbase, HBase, Big Table, Elasticsearch, or Cassandra
  • Experience in developing and implementing scalable or repeatable processes, and automate analytics that can be leveraged by stakeholders in sub-missions
  • Experience in working with a wide range of predictive and decision models and tools for developing such models
  • Experience with Big Data programming technologies, including Hadoop, Spark, MapReduce, Accumulo, Cassandra, HBase, R, Mahout, Pig, or Hive
  • Experience in the maintenance of relational databases and associated Java-based administration tools
  • Experience with MySQL and OBJECTIVITY object-based database or other enterprise level relational databases
  • Experience with data manipulation, analytic tools, and data visualization
4

Experience For CS Data Scientist, Mid Resume

  • Experience with Elastic or Elasticsearch, Java, and APIs
  • Experience as a data scientist
  • Experience with data visualization
  • Experience with Data Visualization tools or packages
  • Experience with DoD spectrum management, particularly for the Army or Marine Corps
  • Experience with data science or computer science
  • Experience with Oracle database and Procedural Language (PL) or Structured Query Language (SQL)
  • Experience with Oracle database and Procedural Language/Structured Query Language (PL/SQL)
5

Experience For Devops Data Scientist, Mid Resume

  • Experience with data science or CS
  • Experience with Oracle database and Procedural Language and Structured Query Language
  • Experience in the data science or analytics field
  • Experience with the analysis of data and creation of data-driven visualizations
  • Experience in Combatant Commands
  • Experience with SIGINT datasets and community capabilities
  • Experience in the CWMD enterprise
6

Experience For Data Scientist, Mid Resume

  • Experience with Pig/Hive
  • Knowledge of software integration or testing, including analyzing and implementing test plans and scripts
  • Knowledge of predictive modeling, including machine learning
  • Develop persistent monitoring applications for statistical or machine learning processes using R, Python, or SAS
  • Knowledge of programming using R Shiny, Python, or SAS
  • Knowledge of programming languages, including Java and JavaScript
  • Knowledge of descriptive and inferential statistics, including hypothesis testing
  • Apply supervised and unsupervised machine learning algorithms for clustering, classification, and dimensionality reduction
7

Experience For CS Data Scientist, Mid Resume

  • Knowledge of the designing, maintenance, and implementation of a system security planning within the DoD work environment
  • Knowledge of optimization techniques, including linear programming and tools commonly associated with these techniques
  • Build applications and wrangle data, including ETL
  • Create presentations using VBA, as needed
  • Identify data trends, create reporting capabilities, and promote a data-driven culture
  • Develop an application to track data migration between specific accounts, using Visual Basic
  • Knowledge of analytical libraries, including Python
  • BA or BS in Information Science, Software Engineering, Informatics, or in a CS field
  • Program in an object-oriented language, including Java, C++, C#, or Python
8

Experience For Devops Data Scientist, Mid Resume

  • Scale Deep Learning models to the Cloud, as needed
  • Develop advanced analytic models in SAS
  • Work with SQL and Microsoft Packages
  • Work with Python and SQL
  • Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information
  • Knowledge of Hadoop, Trifacta, and Qlik
  • Work with Hadoop, Trifacta, and Qlik
  • Communicate information to a senior executive audience in oral or written formats
9

Experience For Data Scientist, Mid Resume

  • Experience in working with massive data sets, including structured and structured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
  • Knowledge of Cloud computing, Data Mining, and machine learning
  • Knowledge of statistical methods and statistical programming languages, including R
  • Knowledge of dashboard or data visualization using tableau desktop and tableau server
  • Show a track record of weaving data and analysis into a compelling format that is client and solutions-driven and easily digestible resulting in client approval
  • Experience with one or more scripting or scientific languages, including Python, R, C++ or Java
  • Knowledge of common programming languages, including Perl, Python, and R
10

Experience For CS Data Scientist, Mid Resume

  • Knowledge of genetics and molecular biology
  • Experience in troubleshooting at the command line level for the following issues or events: volume or disk administration, file system backup and retrieval, printer administration, SVR4 auditing, DNS, NFS and the automounter, user administration, and TCP/IP-based networks
  • Experience with UNIX and Windows interoperability, UNIX emulation, Oracle multi-pathing, Storage Area Network Fabrics, and in writing and troubleshooting UNIX shell scripts, including Bourne and C-Shell
  • Experience in HTML, Java, and other Internet languages and tools
  • Level data scientist to play a critical role in the rapid
  • Communicate technical results to non

List of Typical Skills For a Data Scientist, Mid Resume

1

Skills For CS Data Scientist, Mid Resume

  • Experience with array-based analysis, gene expression analysis, machine learning methods, data mining, and statistical modeling
  • Experience with a scripting or programming language, including Python/R
  • Experience in working with machine learning, data mining, and statistics
  • Experience with developing software in high level languages, including Java, C, or C++
  • Experience with developing software for UNIX or Linux, including Redhat, CentOS, or Ubuntu
  • Experience with Big Data programming technologies, including Hadoop, MapReduce, Accumulo, Cassandra, HBase, R, Mahout, Pig, and Hive
2

Skills For Devops Data Scientist, Mid Resume

  • Experience with developing software in high-level languages, including Java, C, or C++
  • Experience with defining data collection requirements or structuring experiments
  • Experience with Data Mining or Deep Learning Techniques
  • Experience with data formats and analysis tools for whole exome sequencing or whole genome sequencing
  • Experience with Microsoft Office Suite, including using Excel for data manipulation
  • Experience with developing and applying quantitative methods to find patterns and relationships in large human capital data sets
3

Skills For Data Scientist, Mid Resume

  • Experience with developing software solutions using Java or Python
  • Experience with creating scripts or tools for data analysis, manipulation, or exploration using Excel, Python, SQL, or ESRI ArcGIS tool suite
  • Experience with using IC tools, including TAC, M3, WISE, or JEMA
  • Experience with scripting or scientific languages, including Python, R, Java, C++, or MATLAB
  • Experience with creating data models to streamline business processing
  • Experience in working and developing algorithms and data visualizations
  • Experience with one or more scripting or scientific languages, including Java, Python, C++, or R
  • Experience with using statistical software applications, including SAS, R, MATLAB, SPSS, or Stata
  • Experience in working with a wide range of predictive and decision models and tools for developing such models
4

Skills For CS Data Scientist, Mid Resume

  • Experience with using Python or R to perform data analysis, mining, and data visualization
  • Experience with one or more statistical analytical programming languages, including Python or R
  • Experience with developing software in Java, JavaScript, C, C++, or other high-level languages
  • Experience with MapReduce programming, the Hadoop Distributed File System (HDFS), and JSON or BSON
  • Experience with developing software in Java, C, C++, or other high-level languages
  • Experience with developing software in Java, C, C++, or other high
  • Experience with developing software in Java, JavaScript, C, C++, or other high
5

Skills For Devops Data Scientist, Mid Resume

  • Experience with developing software in Java, C, C++, or other high
  • Experience in working with data analysis and manipulation
  • Experience with data analytics or engineering
  • Experience with developing software in Java, C, C++, JavaScript, or other high level languages
  • Experience in working with Python, R, SQL, and Java
  • Experience in developing software with AngularJS, ExpressJS, or NodeJS
6

Skills For Data Scientist, Mid Resume

  • Experience with ing big data technologies, including Spark and Hadoop
  • Experience with developing analytic methodologies, metrics, and decision criteria
  • Experience with using automated statistical packages in support of analysis projects
  • Experience with data analysis and database or analytic products, including Excel and R
  • Experience with modeling data for tangible products
7

Skills For CS Data Scientist, Mid Resume

  • Experience with data engineering processes and tools
  • Experience with developing software in Java, C, C++, Python, R or another high–level language
  • Experience with workflow management software for pipeline development, including Snakemake
  • Experience with common open source genomic analysis tools, including PLINK, Eigensoft, and Impute2
  • Experience with Microsoft Office suite of products, including Excel spreadsheets, PowerPoint, Word Documents, and Project
  • Experience with software development in a host of languages, including C#, C++, Java, or Python
  • Experience with machine learning, artificial intelligence, and Big Data analysis
  • Experience with Radio Frequency (RF) propagation and modeling and simulation (M&S)
  • Experience with XML development and Microsoft SQL Server, including database design
8

Skills For Devops Data Scientist, Mid Resume

  • Experience with developing software in Java, C, C++, or equivalent high-level languages
  • Experience in working with Python, R, and SQL
  • Experience with developing algorithms and data visualizations
  • Experience with developing software in Java, C, C++, Python, R or an equivalent high–level language
  • Experience with querying Elasticsearch or Hadoop repositories
  • Experience with using ArcGIS or other commercial GIS programs for spatial analysis
  • Experience with creating visualizations in Kibana
9

Skills For Data Scientist, Mid Resume

  • Experience with developing software in Java, C, C++, JavaScript, or equivalent high level languages
  • Experience with Python, R, SAS, SPSS, and COTS data visualization packages, including Tableau
  • Experience with developing software in Java, C, C++, or other high level languages
  • Experience in working with various probability distribution models and predictive analysis
  • Experience in working with Matlab
  • Experience with geohashing and spacial indices
  • Experience with creating solutions to data-centric problems through automation from IC data
10

Skills For CS Data Scientist, Mid Resume

  • Experience with delivering rapid prototypes or production systems
  • Experience with basic programing and data manipulation
  • Experience with biomedical research in genomics, including with scientific publications
  • Experience with programming within a UNIX or Linux environment
  • Experience in the development of Internet applications, including home pages, database interfaces, and security
  • Experience with developing software in Java, C, C++, or other high-level languages
  • Experience with quantitative analysis or modeling

List of Typical Responsibilities For a Data Scientist, Mid Resume

1

Responsibilities For CS Data Scientist, Mid Resume

  • Knowledge of Python, R, SSRS and SQL or T-SQL
  • Knowledge of Python, R, SSRS, and SQL or T-SQL
  • Communicate technical results to non–technical clients
  • Build data sets from scratch
  • Knowledge of Python, R, SSRS and SQL, or T–SQL
  • Travel to client sites up to 10-20% of the time throughout CONUS
2

Responsibilities For Devops Data Scientist, Mid Resume

  • Work with Hadoop, Scala, and Tableu
  • Develop predictive models to manage cost and risk performance, as needed
  • Knowledge of the Operations Research field and statistical methods
  • Knowledge of the GEOINT TCPED process
  • Work with Python and Apache
3

Responsibilities For Data Scientist, Mid Resume

  • Implement simulation algorithm to approximate the likelihood of a target outcome, as needed
  • Create reports and present findings based on statistical analysis
  • Knowledge of intelligence analysis processes, data, and CWMD issues

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