Principal Data Scientist Resume Sample
Polly Renner
61435 Odell Camp,
Philadelphia,
PA
+1 (555) 512 0749
Work Experience
Principal Data Scientist
11/2015
-
PRESENT
Houston, TX
- Represent EY’s Data Sciences competency to various internal and external audiences
- Have a passion for working on big data and professional experience in data mining, statistical analysis, predictive modeling and data manipulation
- Strong Unix background and programming experience in C/C++, or Java, and skills in scripting languages such as Perl or Python
- Feature engineering, building and optimizing classifiers, applying machine learning and deep learning expertise
- Blending data from disparite sources, mining the resulting data lake to build models
- Working with engineering team to implement models efficiently
- Processing, cleansing and verifying integrity of data used for analysis
- Condiucting ad-hoc analysis and innovation around data/information visualization
Senior Principal Data Scientist
07/2009
-
10/2015
San Francisco, CA
- Delivers advanced directed and applied research that has the potential to add new capabilities or business value to FP products in the context of the “human point” (insider threat, dataloss prevention, intent detection, user behaviour, post-mortem forensics, etc)
- The research’s spectrum ranges from human behaviour (e.g. neuro-science), bridges the real and electronic world (e.g. CCTV video and end-point data), to specific technology capabilities and components (e.g. a new threat detection engine)
- Works with the I&P managers and the PL&I lead to deliver research reports and/or turn research into structured ideas for evaluation by the monthly Product Council
- Partners with human behaviour analysts to build data and analytical models from diverse data sources (structured/unstructured, real-world/electronic domain, etc) to enable processing, reporting and decision-making
- Partners with the I&P managers to execute proof-of-concept or prototype for selected ideas and with the DITsec BU development team to develop proof-of-concepts/prototypes
- Develop prototypes for research conducted and build tools as required
- Mentor and/or lead other engineers in their projects from a technology standpoint
Principal Data Scientist / Software Developer
11/2005
-
03/2009
Dallas, TX
- Knowledge sharing internally and externally through blogs, security conferences, journals, etc
- Drive IP portfolio through patent and IPR process
- Previous experience as a data scientist covering human behaviour (consumer or enterprise space) and large electronic data sets (events, logs, etc) preferably in the IT security domain
- Experience in modelling human behaviour and indicators to computer models/programs that can be integrated into commercial products
- Experience in human behaviour related AI and machine learning
- Is able to bridge between scientific/unstructured research and the business domain (i.e. understands productizing of research)
- Lead or participate in small projects/virtual teams to transition research to idea and/or idea to prototype
- Has invented, designed, and built novel software-based technologies related to computer security
Education
Herguan University
2001 - 2005
Science's Degree in Computer Science
Professional Skills
- Experience of hands-on modeling skills and strong analytic programming skills using R/Python tools
- Experience of hands - on predictive modeling skills and strong analytic programming skills using either SAS, R and/or Python
- Excellent skills in design, debugging and problem solving toward training and data / statistics analysis
- Excellent skills in SW design, debugging, and problem solving toward training and data / statistics analysis
- Excellent programming skills with knowledge of multiple operating systems, scripting languages, and the ability to deal with very large volumes of data
- Data Mining with strong programming development skills in Python, R, Scala and/or Java, MapR, Spark
- Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), and statistical modeling (like Python, SAS or R)
How to write Principal Data Scientist Resume
Principal Data Scientist role is responsible for programming, modeling, analytical, technical, python, analysis, languages, advanced, sas, business.
To write great resume for principal data scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Principal Data Scientist Resume
The section contact information is important in your principal data scientist 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
- Telephone number
Work Experience in Your Principal Data Scientist Resume
The section work experience is an essential part of your principal data scientist 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 principal data scientist responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular principal data scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Principal Data Scientist resume experience can include:
- Strong project management skills with excellent problem solving, analytical skills and attention to details
- Experience of hands-on modeling skills and strong analytic programming
- Strong technical skills and experience using R or Python
- Excellent team working and project delivery skills and demonstrated ability to create shared success
- German language skills, experienced in automotive, hands-on experience with visualization tools like SPSS or Tableau
- Strong data science skills such as statistical & predictive modelling concepts, machine-learning approaches, clustering and classification techniques
Education on a Principal Data Scientist Resume
Make sure to make education a priority on your principal data scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your principal data scientist 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 Principal Data Scientist Resume
When listing skills on your principal data scientist 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 principal data scientist skills:
- Excellent interpersonal skills and effectiveness in working across geographical boundaries
- Good scripting and programming skills, such as Java, Scalaor Python, and Spark
- Excellent creative thinking skills with emphasis on developing innovative solutions to solve complex problems with ambiguities and no obvious solutions
- Solid understanding about ML, such as Neural Network, Layer related knowledge and prior experience integrating models into products end to end
- Excellent problem-solving skills with an innovative, strategic, forward-thinking mindset
- Strong problem solving skills (troubleshooting software problems)
List of Typical Experience For a Principal Data Scientist Resume
1
Experience For Senior Principal Data Scientist Resume
- Strong internal and external communications skills (verbal and written)
- Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences
- Extensive machine learning, data integration and mathematical modeling skills and ETL tools (Informatica, AbInitio, Talend)
- Effectively function as a principle investigator, generating new scientific or technological proposals and leading those efforts
- Strong experience programming, C/C++, Java, Python, R, Scala, or Perl
- Experience as a Software Developer with design and implementation experience
- Simulation skills (Genetic Algorithms, Monte Carlo Simulations, Linear Programming, Quadratic Programming etc)
2
Experience For Principal, Data Scientist Resume
- E- Domain in managing clients and proven experience of solving complex client requirements
- Machine Learning: classification, regression, clustering; Demonstrated ability to apply deep learning approaches to categories of machine learning problems
- Experience with statistical, predictive modeling, machine learning with big - data using tools like R, Python, Hadoop
- Experience coding in C and/or C++ and Scripting including SQL, R, Python, Shell, Bash or related
- Previous experience in slicing and dicing data and drawing insights essential
- Experience managing and growing high performing teams in Data Science
- Technical experience using or (and preferably) developing machine learning models and data platforms
- Expertise and significant experience in Data Analytics and modelling, including predictive modelling is essential
- Low-grain, high-scale demand forecasting experience (especially using machine/deep learning methods)
3
Experience For Principal Data Scientist / Software Developer Resume
- Experience visualizing data, engineering features, and building ML pipelines in Python, R, or a similar language
- Experience visualizing and communicating data using packages such as d3.js, Shiny, and Seaborn, or tools such as Tableau and Qlik
- Hands-on experience applying machine learning techniques using packages such as scikit-learn, TensorFlow, Keras, Theano, and DSSTNE
- Take active role in prioritizing analytic research pushing highest value to forefront of the teams workload
- Work experience with statistical software (R or similar tools), software programming in an Object Oriented Programming Language e.g. C++, C#, Java
4
Experience For Think Big Principal Data Scientist Resume
- Work experience with statistical software (R or similar tools), software programming in an Object Oriented Programming Language e.g. C++, C#, Java
- Extensive experience with statistical and machine learning offerings in one or more of the following (SAS, R, Mahout, Matlab, Python, Octave, etc.)
- Experience working with large data sets within distributed computing environments (Map/Reduce, Hadoop, Hive, etc.)
- Proven track record of collaborating across organizational boundaries and delivering great results
- Strong understanding of structured and unstructured ML/ Data Mining models essential
- Experience with machine learning, data mining, and analytics techniques
5
Experience For Big Data Engineer / Principal Data Scientist Resume
- Hands-on experience in Artificial Neural Networks/ Deep Learning and Natural Language processing
- Machine Learning/AI programming experience with Python, Java, C++, Scala or similar stack
- Several years of professional experience in advanced analytics, model building, or marketing optimization
- Experience using statistical machine learning algorithms in a big data environment
- Experience interpreting outputs of models and building visualizations
6
Experience For Principal Data Scientist, Associate Director Resume
- Experience in experiment design and hypothesis testing, including A/B and multivariate tests
- Strong knowledge in machine learning and artificial intelligence
- R, SQL, Pandas, NumPy or related experience with data wrangling
- Experience working with real world supply chain problems
- Hands-on experience implementing large scale data analytics solutions
7
Experience For Principal Data Scientist, Machine Learning Resume
- Highly skilled at translating business requirements from key stakeholders into shovel-ready work plans
- Experience with various operating systems (Windows, Linux, Solaris) and database platforms (MS-SQL, MySQL, Oracle)
- Knowledge and hands-on experience with fundamental concepts, practices and procedures of Computer Science and Software Engineering
- Extensive experience building predictive and optimization models
- Work experience managing data scientist projects
- Experience working with real big data
- Relevant experience in predictive modeling and analysis
8
Experience For Principal Data Scientist, Sequencing Resume
- Experience in R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- Experience with building fraud detection models
- Demonstrated expertise in technical and/or business consulting and collaboration
- Experience in a production-level coding environment
- Experience managing small teams
- Experience using mainstream languages, such as Python, R, or equivalent to source, cleanse, and model large data sets
- Good working knowledge of Big Data Architectures and NoSQL databases
9
Experience For Senior / Principal Data Scientist Resume
- Fluency in English and good communicator both orally and in writing
- Experience working with large-scale distributed data systems
- Solid business acumen including the ability to discern which problems are important to solve for the business
- Experience working with large analytics platforms
- Experience with databases, cloud storage
- Experience working with real world supply chain problems
- Relevant experience in data science, data analytics, or applied statistics,
- Experience in cyber security OR insurance industry (nice to have)
10
Experience For PI / Principal Data Scientist Resume
- Professional level experience with Analytics and/or Database product development on large scale data sets
- Design and analyze A/B experiments that validate different optimization and predictive scoring solutions and/or calibrate predictive model parameters
- Experience with many of the ML algorithms: e.g., Clustering, Regularization, Bayesian inference, Decision Tree, etc
- Experience with DSLs: e.g., R, MATLAB, TensorFlow
- Experience with popular Deep Learning frameworks such as Tensorflow, Keras, or Caffe
List of Typical Skills For a Principal Data Scientist Resume
1
Skills For Senior Principal Data Scientist Resume
- Good scripting and programming skills, such as Java, Scala, R, Python, or Spark
- Data Mining with strong programming development skills in Python, R, Scala and/or Java
- Leverages strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), and statistical modeling (like Python, SAS or R)
- Work effectively as both an individual analytic contributor while also mentoring and leading less experienced data scientists
- Strong programming skills in Python and open source big data map reduce stack like Hadoop/Spark/Flink etc on large datasets
- Strong scientific-computational skills with an ability to think about problems differently; investigating new techniques and technologies to solve a problem
2
Skills For Principal, Data Scientist Resume
- Excellent written and verbal communication skills, comfortable presenting in front of large audiences
- Excellent data visualization skills, is able to determine the appropriate visualization for a variety of data types and create compelling stories with data
- Strong communication, analytical and collaborative problem-solving skills
- E- Strong project management and communication skills
- Excellent problem investigation and solving skills, attention to detail, and a desire to achieve win-win outcomes
3
Skills For Principal Data Scientist / Software Developer Resume
- Excellent programming skills (Java/Python/R/Sas)
- Programming skills (C/C++/Java/Python/R)
- Experience designing, developing, validating, and deploying predictive models that directly support business decision making
- Experience assessing machine learning algorithms using cross validation techniques
- Strong working knowledge of data cleaning, machine learning, and analytics techniques and experience with large data sets
- Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc.)
4
Skills For Think Big Principal Data Scientist Resume
- Proven ability and experience in using data science, statistical computing, and modeling to improve business KPIs
- Advanced-level skills with databases, including SQL and utilizing data stored in complex schemas
- Experience as a Data Scientist including data analytics, data visualization, machine learning with relevant work experience
- Experience as a Data Scientist including data analytics, network-graph analytics, data visualization, machine learning with relevant work experience
- Keep analytical computing / predictive modeling / data analysis skills current
- Strong experience leading projects, managing multiple tasks simultaneously and efficiently
- Help Senior Executives to make decisions utilizing the data and analytical skills
- Demonstrated skill in machine learning and data science
5
Skills For Big Data Engineer / Principal Data Scientist Resume
- Demonstrated skill in writing production-quality code
- E- 4+ years of experience in quantitative analysis, and a strong educational background in an engineering, statistical or technical field
- Superb verbal, written, and interpersonal skills; fluency interfacing with both technical and management teams
- Strong team player with experience leading in project-team environments
- Strong experience working within a Scrum team/Agile environment
6
Skills For Principal Data Scientist, Associate Director Resume
- Proven experience with complex, large scale data and processing-intensive applications
- Strong knowledge and experience in database technologies, including SQL and other relational database, non-SQL, and Time Series database
- Advanced SQL skills and is comfortable operating with relational data models and structure
- Advance skills with accessing data via a variety of API/RESTful services
- Advanced/expert level programming skills in either R, Python, or similar analytical language
7
Skills For Principal Data Scientist, Machine Learning Resume
- Strong experience with Unix and leveraging scalable data science environments such as Spark and AWS
- Leadership skills to guide a project team from a commercial, technical and scientific perspective
- Demonstrate a solid understanding of Advanced Analytics, Data Mining,
- Opportunity to expand your skills in a scientific, technical and business dimension at the same time
- Demonstrated experience working with large datasets and knowledgeable about parallelization
8
Skills For Principal Data Scientist, Sequencing Resume
- PhD in computational, physical or life sciences with a strong quantitative focus, or BS/MS with equivalent experience
- Proven experience in applying machine learning algorithms such as Neural Networks, Support Vector Machines, and CART, etc
- Demonstrated experience with creating KPIs and dashboards for executive and customer review
- Strong hands-on experience software packages SAS, SPSS, R, Python
- Flexibility: Ability to work effectively as a real team player, ability to collaborate with international teams
- Experience executing on projects as a lead and 10 or more years of analytic computing experience
9
Skills For Senior / Principal Data Scientist Resume
- Advanced/expert level skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment
- Can effectively and succulently decompose highly complex findings to non-technical audiences
- Effectively collaborate within Skype and other related Microsoft divisions to drive call quality and reliability initiatives
- Mentoring, training, developing and serving as knowledge resource for less experienced Software Engineers and Data professionals
- Understanding of cloud architectures and experience in working/migration on cloud
10
Skills For PI / Principal Data Scientist Resume
- Practicing good science and being current in the field
- Mentoring and growing less experienced team members
- Developing actionable quantitative models in the areas of effectiveness, ROI, pricing and optimization
- Seeking 10 years related experience
- Good understanding of sourcing and wrangling data from warehouses, Big Data (e.g. Hadoop, Spark) and other sources using SQL and scripting
- Experience using data munging, data engineering, and feature engineering software
- Experience with statistical research techniques, including modeling, data mining, clustering, and segmentation
- Working experience with and/or publishing in Machine Learning with 3+ years in deep learning
List of Typical Responsibilities For a Principal Data Scientist Resume
1
Responsibilities For Senior Principal Data Scientist Resume
- Excellent interpersonal skills - enthusiastic about sharing knowledge and collaborating with other teams
- Proven skills in creative-problem-solving of complex and advanced technical subject matter through
- Strong understanding of statistics and experience developing supervised & unsupervised learning models
- Advanced statistical modelling programming skills in Python or R
- Professional experience in a quantitative or technical field, including experience working with very large data sets
- Proven experience with at least one of the statistical packages such as SAS, R, SPSS, STATA, etc. and applying them to business decisions
- Effectively interact with both internal and external customer executives(technical and non-technical) to explain uses and values of deep learning systems
2
Responsibilities For Principal, Data Scientist Resume
- Supports the generation of an automated insights generation framework for Lowe's business partners to effectively interpret data
- Develop stories and visualization to effectively communicate complex qualitative analysis in clear, precise and actionable manner
- Experience building end-to-end analytics solutions, including exposing Python and R algorithms as APIs with Flask and building visualizations in D3.js
- Previous experience delivering predictive machine learning solutions and managing stakeholders within a large organisation
- Experience in developing large-scale optimization application using tools including CPLEX, AMPL, or OPL
- Strong programming, data mining and machine learning background
- Experience manipulating large datasets and using databases using SQL and / or SAS
- Experiences with Machine Learning/deep learning, Semantic Web, Knowledge Graph and Data Science, and Natural Language Processing
3
Responsibilities For Principal Data Scientist / Software Developer Resume
- Advanced experience with data mining and/or predictive analytics, applying statistical or machine learning algorithms
- Experience ingesting, manipulating, and analyzing large volumes of data (both tall and wide)
- Hands-on experience in data mining and predictive analytics with machine learning/statistical modeling techniques
- Proven track record of applied data science for practical problems using ML/DL techniques including but not limiting to DNNs
- Relevant experience in building large scale machine learning or deep learning models and/or systems
- Strong working knowledge of deep learning, machine learning and statistics
- Experience (including projects) in the areas of data science, machine learning, information retrieval or natural language processing
- Experience in building, testing and deploying production quality models in cloud
4
Responsibilities For Think Big Principal Data Scientist Resume
- Experience in mentoring junior data scientists by clarifying the business problem and tracking their tasks and deliverables as part of feature delivery
- Experience applying machine learning algorithms to build predictive models OR statistical modeling
- Experience with developing, publishing and maintaining all documentation for models
- Experience managing and/or leading machine learning and/or data science projects
- Experience in receiving, converting, and cleansing big data
5
Responsibilities For Big Data Engineer / Principal Data Scientist Resume
- Experience developing and applying complex analytics to real world problems, ideally within the healthcare industry
- Demonstrated success delivering predictive analytics systems that leverage machine learning and artificial intelligence, preferably in a commercial environment
- Three or more years of experience in developing and implementing analytical models in business
- Experience working with modeling software (R, Python, SPSS, SAS)
- Experience with machine learning, natural language processing and experiment design
- Experience with analysis and modeling using unstructured (text) data
- Experience building practical machine learning models with applications to real-world problems
- Experience applying statistical methods to advertising measurement
6
Responsibilities For Principal Data Scientist, Associate Director Resume
- Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities
- Strong analytical thinking and ability to quickly pick up new methods, tools and programming languages
- Working experience in using statistics and analytical techniques in scientific experimentation
- Experience manipulating large (big data) datasets and using databases
- Industry experience with regularized regression, random forest, boosting methods, and several other statistical/machine learning methods
- Demonstrated proficiency with model development for decision analysis, forecasting, or other complex quantitative modeling
- Experience with advanced modeling techniques, logistic regression, Bayesian modeling etc
7
Responsibilities For Principal Data Scientist, Machine Learning Resume
- Experience combining analytic methods with advanced data visualizations using, for example, Tableau, Shiny or D3
- Omics: 3+ years experience working with next generation sequencing data (DNA, RNA or epigenetic analysis), proteomics, etc
- Work experience in quantitative analysis/modeling at a financial institution or consulting firm
- Experience in Natural Language Processing, Graph Theory, and Deep Learning in Big Data
- Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano or similar
- Experience in using Python, R or Matlab or other statistical/machine learning software
- Experience in data mining and data wrangling on large scale data with Cosmos, Hadoop or Spark like technologies
8
Responsibilities For Principal Data Scientist, Sequencing Resume
- Experience in developing Deep Learning models on Text, Image or Video data
- Relevant experience in statistical analysis, forecasting/predictive analytics and multivariate testing
- Experience applying a broad range of statistical, mathematical, or computational approaches using data to solve problems
- Experience leading data science efforts and working with non-technical leaders
- Experience mentoring and leading junior data scientists
- Experience informing experimental design using historical data
9
Responsibilities For Senior / Principal Data Scientist Resume
- Statistical modeling experience in statistical packages and scripting applications such as SAS, SQL, SPSS, R etc
- Be a highly analytical leader with a strong customer focus and the ability to solving complex problems working with customer and business leaders
- Drive the analytics roadmap proactively by identifying opportunities in the data based on the business priorities working with all divisions
- E- Demonstrated proficiency in developing and implementing statistical models in a production environment
- Demonstrated ability in one or more programming languages like Python, Java, R, or Scala
- Industry experience in predictive modeling, data science, and statistical analysis
- Experience using ML libraries, such as scikit-learn, mllib and DL frameworks such as MXNet, Theano, Keras
10
Responsibilities For PI / Principal Data Scientist Resume
- Experience in building models based on Recurrent Neural Networks (e.g. LSTM) to forecast time series
- Experience with using data visualization tools (e.g. Tableau, Shiny, d3.js)
- Experience with text mining and NLP
- Proven track-record getting projects completed with excellence and on time
- Strong understanding of the relationships to other centers of excellence
- Experience in manufacturing and/or transportation industry
- Build strong working relationship and develop deep partnership with the business
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