Data Scientist, Big Data Resume Sample

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Work Experience


Principal Big Data Scientist
10/2017 - PRESENT
New York, NY
  • Experience
  • Experience with real data
  • Develop and maintain state-of-the-art large scale text mining analytics to enable Humana strategy and overall clinical portfolio
  • Create customized reports and communicate the findings and recommendations with business partners and/or senior leaders
  • Preparing and submitting patents on the technical solutions to provide competitive advantage and protect Hitachi’s IP; and, after obtaining appropriate protection, publishing technical results in leading venues to establish Hitachi as a leader in big data and advanced analytics
  • Strong programming skills in one or more in the following: Python, Java, C++
  • Industry experiences on one or more from the following: machine learning, graph analytics, natural language processing, recommendation system, predictive modeling
  • Build and implement models and algorithms. Maintain high quality code and documentation. Assure efficiency, stability and scalability of the solution
Big Data Scientist
01/2011 - 04/2017
Dallas, TX
  • Detect data anomalies and identify source of data problems. Recommend data quality solutions
  • Use visualization techniques to display data and the results of analysis in clear presentations that can be understood by non-technical readers
  • Ensure Data Quality and Reliability. Design and implement various Data Quality methods in SAS and Big Data. Run quality checks against database and report all data issues. Detect data anomalies and identify source of data problems. Recommend data quality solutions
  • Provide technical support to the team by implementing automation tools and integrating MS Office Excel, Oracle Database, SAS and Big Data platforms. Design technical solutions supporting complex data reporting and analytical tasks. Generate complex graphical data reports, including data crosstabs, scatter plots and statistical measures
  • Experience with relational databases such as Oracle, SQL Server, and Data Marts/Data Warehouses, Big Data as an advantage
  • Strong programming and statistical/data analytical skills (R, SAS 4GL, SQL,); 3+ years of experience with R or SAS
  • Experience in providing the results of analyses in clear written form and presenting the findings to the audience
  • Discuss reasoning, critical assessment of facts and opinions
Research Scientist, Big Data Lab
08/2008 - 11/2010
Houston, TX
  • Experience in a large corporation, preferably multicultural environment
  • Extending company’s data with third party sources of information when needed
  • Good scripting and programming skills, including Java and/or Python
  • In big data, and a demonstrated ability to decompose complex problems and create simple solutions
  • Conveys highly technical concepts and information in written form to technical and non-technical audiences
  • The ability to work on multiple concurrent projects is essential. Strong self-motivation and the ability to work with minimal supervision
  • Related experience in data analytics

Education


Fairleigh Dickinson University - Metropolitan Campus
2003 - 2008
Science's Degree in Computer Science

Professional Skills


  • Excellent sales and public speaking skills
  • Proven Java or C++ development skills
  • Excellent technical presentation skills
  • Excellent written and verbal communication skills for coordinating across teams
  • Good communication skills, with proven ability to work cross functional teams to translate business issues into potential analytics solutions
  • Analytical and Decision MakingSkills
  • Predictive Analytics experience (inclusive of academic experience)

How to write Data Scientist, Big Data Resume

Data Scientist, Big Data role is responsible for programming, java, software, modeling, design, reporting, security, database, gis, training.
To write great resume for data scientist, big data job, your resume must include:

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

Contact Information For Data Scientist, Big Data Resume

The section contact information is important in your data scientist, big data 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, Big Data Resume

The section work experience is an essential part of your data scientist, big data 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, big data 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, big data position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Data Scientist, Big Data resume experience can include:

  • Perform all the phases of a data science project: business understanding, data understanding and preparation, exploratory analysis, modeling, model evaluation, communicating results and business value of a model to the client and finally deploying your data product
  • Develop your technical and soft skills to keep up with the latest data science ideas and machine learning techniques
  • Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc
  • Strong working knowledge of machine learning algorithms including Regression, Classification, and Clustering algorithms
  • Industry experience in security or machine learning, ideally both
  • Experience in Data Mining and Information Retrieval in HDFS

Education on a Data Scientist, Big Data Resume

Make sure to make education a priority on your data scientist, big data 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, big data 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, Big Data Resume

When listing skills on your data scientist, big data 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, big data skills:

  • Working with high-class professionals and gaining experience in a multinational organization
  • Solid understanding of deep learning techniques
  • Have considerable experience in any of the following domains: telco, government, or banking
  • Create and validate mathematical models (e.g., statistical modeling, machine learning,..) in multiple technologies to support client goals
  • M.Sc. or equivalent working experience in data science / machine learning
  • Experience manipulating data sets and building statistical models

List of Typical Experience For a Data Scientist, Big Data Resume

1

Experience For Big Data Scientist Resume

  • Experience with Big Data tools (Hadoop, MapReduce, Pig, Hive, Spark, MongoDB)
  • Modeling:applying statistical inference, machine learning techniques, etc
  • Feature engineering: creating new features through Big Data techniques, statistic inference, etc. making our analytics and algorithms work better
  • Data cleaning:coding to move from raw data to tidy data
  • Data acquisition and integrationin our platforms (data-lake, Haddop) working hand-in-hand with IT
2

Experience For Big Data Developer / Data Scientist Resume

  • Data enrichment: leading processes used to enhance and refine raw data
  • Follow team development processes
  • Participate in pre-sales activities: presentation, workshops and proof-of-concepts for the clients
  • Create novel features that can identify malicious files
  • Identify new analytics trends and opportunities to drive the innovation agenda across OpCos
  • Delve into data from different systems, at different timescales, and in complex formats to discover hidden relationships and useful information
3

Experience For Principal Big Data Scientist Resume

  • Advise on best practice Big Data Analytics methodology and processes for analytics insight generation, technology and data
  • Significant experience in Big Data analytics and deployment of models and algorithms into a commercial/consumer environment in order to analyse extremely large volumes of structured data
  • Experience in Big Data Analytics landscape and technology trends (e.g. HDFS, NoSQL, Hive, Pig, Cassandra, Mahoot)
  • Test hypotheses from raw data sets and draw meaningful conclusions
  • No. of new Use Cases
  • Execution against the Big Data Roadmap
4

Experience For Research Scientist, Big Data Lab Resume

  • Analytics/Insights generation:contributing with relevant and meaningful insights to our business core teams in order to accelerate our transformation and make a difference
  • Data visualization: keeping our insights simple to our organization (dashboards, data tools, etc.)
  • Data product/asset creation:ensuring viability for our projects. Move from either pilots or proof of concepts to production. Transversal role with support areas like IT and big data strategy initiative
  • Experience in data-based algorithm implementation, predictive modeling and data visualization
  • Project management support:Gant diagram tracking, reporting, etc
  • Data Science programming languages knowledge: R, Python, SAS, etc
  • Big Data environment setup support
5

Experience For Intelligent Solutions Data Scientist Big Data Developer Associate Resume

  • Knowledge of Data Visualization tools: Tableau, Shiny package, Qlikview, Spotfire, Datameer, etc
  • Highest level of personal integrity, professional authority and a positive attitude in all dealings both internal and external to the company
  • Explain complex technical subjects to non-technical professionals in a way that enables them to understand the business value
  • Creative thinker and ability to learn from our successes (or losses)
  • Calm under pressure and adaptable to change
  • Oriented to results

List of Typical Skills For a Data Scientist, Big Data Resume

1

Skills For Big Data Scientist Resume

  • Working experience in the financial industry (specifically in financial markets or quantitative research) or top tier institution in other industry’s
  • Experience working with very large and unstructured data
  • Experience in programming languages such as Python, Java and/or R
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc
  • Data analytics experience
  • Translating complex datasets into key strategy insight and powerful capabilities
  • Working knowledge of Big Data statistical analytics tools (e.g. Python, R, Spark)
  • Lead on specific tasks and deliverables, which might include leading, managing and developing across teams or managing people for specific tasks or projects
  • Gather and process raw data at scale (including writing scripts, web scraping, calling APIs write SQL queries, etc.)
2

Skills For Big Data Developer / Data Scientist Resume

  • Design and implement practical algorithms, evaluating them with prototypes in online environment experiments, including A/B testing
  • Partner with engineering teams to bring solutions to life!
  • Work on emerging big data technologies and reporting requirements
  • Conduct research work on optimal placement of digital advertising, particularly in the prediction, valuation, and bidding strategy areas
  • Conduct research work in a distributed computing environment with very large data sets of complex data from digital advertising transactions
  • Comfortable working in a fast paced agile environment, closely interacting with some of industry’s best software engineers and data scientists
3

Skills For Principal Big Data Scientist Resume

  • Master degrees in Computer / Internet technology / Data Science / Engineering / Mathematics ideally combined with business education (MBA)
  • M.Sc. or Ph.D. in machine learning or a relevant discipline
  • Software engineering background (Agile methodologies, Git, continuous development, etc.)
  • Familiar with SPSS Modeler and SAS Enterprise Miner for modeling
  • Specialized in a data science area such as NLP, Speech recognition, or image processing
  • Professional consulting background at the corporate level
  • Be a technical subject matter expert and work with the core engineering teams to help shape core capability
  • Work with the research innovation teams to identify downstreaming opportunities and transfer the technology into the operational teams
4

Skills For Research Scientist, Big Data Lab Resume

  • Perform data wrangling and extract exploratory insights from big data
  • Partner with clients and Think Big Delivery Leads to successfully deliver data science solutions, including associated documentation and presentations
  • Extract data from a variety of relational databases, manipulate, explore data using quantitative, statistical and visualization tools
  • Conduct statistical analysis using appropriate tools and advanced techniques
  • Work on the acquisition, management, and documentation of data (including geo-spatial data)
  • Data wrangling of heterogeneous data to explore and discover new insights
  • Participate in proposal writing, client deliverables
  • Work on Client’s Big Data accelerators and Machine Learning Framework
  • Work with business and cross-functional teams to thoroughly document reporting processes and systems
5

Skills For Intelligent Solutions Data Scientist Big Data Developer Associate Resume

  • Work on Distributed file system, DSaaS, SaaS, PaaS and cloud computing services like AWS
  • Goal oriented: Self motivated, self starter mentality- drives projects from start to finish and able to clear any roadblocks
  • Multitask and anticipate project needs
  • Work with controlled technology in accordance with US export control law required
  • Innovative.Able to challenge standard procedures
  • Expert level in R, Python and SQL
  • Familiar with Excel and/or Tableau for visualization
  • Familiar with SAS and SPSS Statistics for statistical analysis
6

Skills For Think Big Data Scientist Resume

  • Familiar with either Teradata, Oracle, or Microsoft SQL Server
  • Build in depth knowledge of the data sets as well as the environment the Big Data comes from and look to exploit the data sets in new and innovative ways
  • Trial and evaluate new solutions within the platform to ensure that they meet our requirements
  • Create reports and make recommendations to managers, customer representatives and project sponsors
  • Work with internal, external and third party suppliers
  • Work as a team to define and execute data science solutions that address client use cases and business requirements
  • Define activities, scope, and timelines on data science projects
  • Engage in scientific inquiries to answer business questions
  • Work on Distributed file system and Big Data technologies like Hadoop, Advanced and Statistical Analytics, Real Time analytics
7

Skills For Think Big Senior Data Scientist Resume

  • Work on Client’s Big Data accelerators and Visualization Framework
  • Identify appropriate analytic and statistical methodology; develop predictive models and document process and results
  • Create visualizations from data / GIS data analysis
  • Drive research initiatives from inception to production
  • Work with product and other groups to identify opportunities for optimization improvements and new developments
  • Clearly and concisely present research work to audiences with diverse backgrounds
  • Hands-on experience in applying core Machine Learning methodologies: Artificial Neural Networks/ Deep Learning, Support Vector Machines, Matrix Factorization, Natural Language processing, Decision trees, Classification, Clustering, Predictive Analytics, Regression
  • Machine Learning/AI programming experience with Python, Java, C++, Scala, R or similar stack
8

Skills For Research Scientist Big Data Resume

  • Active involvement in working out your development and training plan
  • Quant Finance: pricing, risk and modelling of financial instruments
  • Knowledge of Modeling complex systems using Physics-based and data driven approaches
  • Master’s or PhD in quantitative fields like Physics, Mathematics, Statistics, Economics, Computing and Engineering
  • Participation in projects aimed at improving solutions which are used by millions of people daily all around the world
  • Basic software engineering knowledge
9

Skills For Data Scientist / Big Data / Machine Learning Resume

  • Hands on development of BI Tools using Tableau, Qlikview and/or dynamic custom javascript
  • Work closely with a team of Software Engineers to design and deploy production machine learning systems
  • Take Initiative; find new ways of applying data science to security problems
  • Identify new data sources and evaluate emerging technologies for data discovery usage
  • Be recognised as an expert in Big Data Analytics, advising on the suitability of Big Data products and solutions
  • Advise the analytics modelling managers on tools and best practice methodology for Big Data Analytics
  • Deep and broad statistical modelling expertise
  • Familiar with leading visualisation tools (e.g. Tableau, Qlikview, Carto)
  • Comprehensive benefits package (private medical care, group insurance, private pension plan, Christmas and Easter vouchers, Multisport card)
10

Skills For Big Data Scientist, Sales Consulting Resume

  • Intermediate level in either C, Java, C++, or C#
  • Intermediate level in Matlab
  • Conduct pre-sales presentations
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. Strong problem solving skills with an emphasis on product development
  • A drive to learn and master new technologies and techniques
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
  • Machine Learning or Data science experience: creating quantitative models (regression, classification, recommender systems, etc.)

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