Data Scientist, Senior Resume Sample
Work Experience
- Represent EY’s Data Sciences competency to various internal audiences
- Experience with data science and engineering work within the past 2 years
- Travels to events and vendor meetings as needed (< 10%)
- Experience in data analysis, including at least 3 years of hands-on work experience with real data (either in an academic environment or in industry)
- Strong coding skills and substantial experience coding in at least one of Python, C/C++, or Java
- Strong analytical and quantitative skills, including familiarity with state-of-the-art methods in ML and/or advanced statistics, as well as significant experience in coming up with and implementing novel algorithms independently
- Experience developing robust, reusable ML or data analysis tools and familiarity with current large-scale data processing technologies
- Track record of effective collaboration in a cross-functional environment with people of diverse backgrounds
- PhD in Computer Science, Statistics, Bioinformatics, or related technical field, or equivalent practical experience
- Experience with developing software in Java, C, C++, or equivalent high level languages
- Experience with developing software for UNIX or Linux, including Redhat, CentOS, or Ubuntu
- Experience with developing software for UNIX or Linux, including Red Hat, CentOS, or Ubuntu
- Design, develop, and implement end-to-end cloud based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)
- Ensure that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the company
- Collect, parse, manage, analyze and visualize large sets of data using multiple platforms
- Translate complex functional and technical requirements into detailed architecture, design, and high performing software
- Code, test, and document new or modified data systems to create robust and scalable applications for data analytics
- Implement security and recovery tools and techniques as required
- Work with Data Science Lead and developers to make sure that all data solutions are consistent
- Ensure all automated processes preserve data by managing the alignment of data availability and integration processes
- Develop standards and processes for integration projects and initiatives
- Demonstrated experience with agile or other rapid development methods as well as with object oriented design, coding and testing patterns and experience in engineering software platforms and largescale data
Education
Professional Skills
- Excellent applied statistical skills, that include but not limited to
- Strong verbal communication skills and adept in presenting findings visually
- Strong problem solving and structuring skills; ability to mine large datasets and surface actionable insights
- Strong communication skills, with the ability to work both independently and in project teams
- Apply strong analytical and complex problem solving and critical thinking skills
- Experience in validation or review of credit or financial models, with preference for Commercial risk rating models
- Great communication and presentation skills, especially to those with limited or no statistical
How to write Data Scientist, Senior Resume
Data Scientist, Senior role is responsible for analytical, analysis, sql, java, database, retail, finance, credit, integration, security.
To write great resume for data scientist, senior job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Scientist, Senior Resume
The section contact information is important in your data scientist, senior 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 Data Scientist, Senior Resume
The section work experience is an essential part of your data scientist, senior 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, senior 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, senior position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Scientist, Senior resume experience can include:
- Experience in developing presentations and communications to be shared with internal and external stakeholders as well as using big data batch and streaming tools
- Strong statistical analysis background and skills, especially modelling technique for example, linear and logistic regression, Decision Tree,etc
- Strong SQL skills across various databases: ORACLE, SQL Server, DB2
- Good power point and excel skills with support from team mates
- Proven ability of handing multi-tasks and problem solving skill
- Passion for using problem solving skills to drive towards accurate and actionable business insights
Education on a Data Scientist, Senior Resume
Make sure to make education a priority on your data scientist, senior 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, senior 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, Senior Resume
When listing skills on your data scientist, senior 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, senior skills:
- Demonstrated intellectual and analytical rigor, strong attention to details and excellent business writing, verbal communication, and presentation skills
- Excellent problem solving, analytical and quantitative analysis skills
- Strong relational database SQL skills; including optimization techniques, with knowledge of NoSQL concepts
- Data Analysis skills and experience extracting information from SQL DB, SAP, SharePoint, etc
- Demonstrated experience using machine learning and deep learning for image recognition and NLT/text mining projects
- Demonstrated experience with dashboards, modeling, statistical analysis and data mining
List of Typical Experience For a Data Scientist, Senior Resume
Experience For Data Scientist Senior Resume
- Experience with using analytic tools, including R, creating and running scripts, installing applications, and using markup languages
- Experience with working on analytics and data science projects, including analyzing and defining problems
- Experience with statistical methods, including Bayesian Belief Networks, Machine Learning, or Deep Learning
- Experience with processing, tagging, and indexing unstructured, semi-structured, and structured classified and unclassified data sets
- Experience with extracting information from disparate data sources and merging them together for statistical analysis
- Experience with creating mathematical models and coding in R, Python, and Matlab
- Experience with using Python, R/shiny, Qlik, or Tableau for data analysis and visualization
- Experience with managing data scientist team
Experience For Data Scientist / Senior Data Scientist Resume
- Experience with big data technologies, including HDFS, Hadoop, or Spark
- Experience with writing advanced SQL queries
- Experience in applying data security and information systems security principles, concepts and practices
- Experience with presenting results and potential solutions to non-technical audiences
- Experience in working with Python, R, and SQL
- Experience with developing algorithms and data visualizations
- Experience in a senior Doing Business As (DBA) or architect role
- Data modeling experience
Experience For Data Scientist Senior Advisor Resume
- Experience in using OpenCV/Scikit-Image for custom feature extraction from images
- Good Understanding of data and mathematical techniques
- Expert in data querying experience in SQL /SAP HANA
- Experience in requirement gathering , convert business requirement into analytical specs
- Experience in one or more dashboarding tool – SAP Fiori/QlikSense
- Experience the excitement of working on a variety of real-world business data
- Experience with data science and analytics
- Experience with data science or Cybersecurity
Experience For Advanced Analytics Data Scientist Senior Stf Resume
- Experience as a data scientist
- Experience with financial analysis and data management
- Experience with supporting government clients
- Experience with leading projects, as needed
- Experience with UNIX or Linux operating systems and command line administration
- Experience with R, Python, MATLAB, NETICA, or other mathematical software
- Experience with quantitative and qualitative analyses
- Experience with OSD or Joint Staff analysis or similar strategic-level corporate or governmental analysis
Experience For Time Series Data Scientist, Senior Resume
- Provide guidance and mentorship to junior analysts and team members less experienced in analytics
- Experience in SAP domain functions (Preferable :- Operations)
- Design, Analyze, validate and manage data requirements and deliverables for projects
- Independently manage, organize and prioritize multiple tasks and responsibilities
- Very Strong in at least one statistical software package, preferably R
Experience For Data Scientist Senior Consultant Resume
- Very good knowledge of SAP Fiori features, architecture and customization, Exp in the implementation and support of SAP Fiori / SAP UI5 applications
- Collecting business requirements and mapping complicated business problem into a modeling task
- Developing Report/Dashboards, applications and Workflows using Fiori
- Leading simultaneously multiple complicated projects
- Delivering superior customer service to internal and external clients
- Working knowledge of image annotation, image transformation and feature identification
- Assist in scoping and designing analytic projects and solutions, bringing in and testing innovative ideas for out-of-box solutions
- Help guide sound financial forecasting and planning reflecting identification and projection of key drivers
Experience For All Source Analyst / Data Scientist, Senior Resume
- Expert knowledge of data modeling and understanding of different data structures
- Conduct statistical analysis, modeling, and simulation that lead to actionable decisions affecting government operations
- Build efficient deep learning workflows using Open Source Tools like Tensorflow
- Adept at using deep learning frameworks like Tensorflow, Theano, Keras, Pytorch etc
- Analyze what potential data is required for dashboards, modeling, statistical analysis and data mining
- Assist in development of automating predictive modeling for surveillance
Experience For Health Data Scientist, Senior Resume
- Knowledge of data science and machine learning techniques
- Work closely with a world-class global engineering & operations team, business
- Knowledge of basic graphics design for presenting complex data into easy-to-read reports
- Learn computer languages, including Python, Java, and R
- Integrate mathematical concepts with computer programming techniques
- Is able to formulate and define analytic scope and objectives through research and fact-finding as a self-starter
- Competent to work on all phases of data analysis and associated programming activities
- Create insightful financial reviews and reporting to identify and illustrate the key stories and trends in the numbers and supplement financial schedules
- Establish and foster working relationships with peers and leadership in Finance and across lines of business
Experience For Data Scientist Senior Prin Resume
- Provide information to keep management informed on the progress and issues relating to all assigned projects
- Build advanced machine learning (ex. RNN, CNN) models to process images, free text and other structural or non-structural data for business solutions
- Coach other members of the risk management team on modeling techniques and data visualization
- Perform analysis on complex data models requiring customized reports and data across multiple platforms and present recommendations
- Create modeling solutions to raise the analytical maturity level for our CAP program
- Run turn-key analytics from data acquisition, preparation, analysis and reporting
- Proficient in data Classification, Clustering
- Data Integration, creating data models, dashboard and report development
- Expert in data integration & data modeling
Experience For Consulting Analytics Senior Data Scientist Senior Consultant Resume
- Apply best practices to manage solution implementations including code design
- Expert and current hands-on knowledge of working with scalable analytics tools
- The ability to manipulate data using data science tools
- Knowledge of Cybersecurity concepts and trends
- Build presentations and present to large groups
- Knowledge of front-end design and data visualization techniques and best practices
- Knowledge of data governance structures and purpose
- Knowledge of SQL data base development
List of Typical Skills For a Data Scientist, Senior Resume
Skills For Data Scientist Senior Resume
- Solid collaboration and communication (written and verbal) skills
- Proven ability to tailor approach in order to partner effectively across the organization
- Excellent communication and team skills necessary to influence across the organization, especially without formal authority
- Honey-badgerness – demonstrated experience going above and beyond and doing whatever it takes to solve the problem
- Proven experience leading research and solving complex business problems
- Experience with Big Data technology, preferably experience with streaming analytics
- Demonstrated experience building complex data sets
Skills For Data Scientist / Senior Data Scientist Resume
- Demonstrated experience working with IT for conversion of prototypes into products and services
- Strong proficiency in and experience writing production-level code in SPSS, R and/or Python
- Advanced skills in a scripting language such as Python, R, or Java
- Demonstrated intellectual and analytical rigor, strong attention to details
- Work with a variety of business stakeholders to effectively capture
- Work experience and 3-5 years of working experience in Sales Analytics
Skills For Data Scientist Senior Advisor Resume
- Proven work experience as a data scientist or analyst
- Strong knowledge of and experience with business intelligence packages (Brio, Business Objects, and Cognos), and databases (SQL)
- Proven experience in data acquisition, data preparation, analysis
- Prior experience in financial industry with compliance
- Great communication and presentation skills; the ability to communicate in a clear and concise manner the outcomes of the analytics work to a non
Skills For Advanced Analytics Data Scientist Senior Stf Resume
- Demonstrated experience with data wrangling on very large data
- Experience 3 years relevant experience
- Work closely with application teams and communicate effectively and proactively
- Strong capability of developing new algorithms and/or modifying existing algorithms to solve challenging business problems with significant business impact
- Experience performing data science/engineering work and writing reports based upon the resulting work/accomplishments
Skills For Time Series Data Scientist, Senior Resume
- Experience performing cutting-edge analytics (e.g. advanced simulation tools, programming, machine learning techniques, etc.)
- Experience with data mining and statistical modeling such as regression, clustering techniques, decision trees, etc. is required
- Experience with developing software using high-level languages, including Java, C, or C++
- Experience with scaling data products across distributable computing environments, including Hadoop
- Experience working with senior management in presenting reports/making recommendations
- Experience in building deep learning models for Image Analysis using CNNs/RNNs
- Experience with building statistical models and developing machine learning algorithms
- Experience with designing and executing machine learning models and applications
Skills For Data Scientist Senior Consultant Resume
- Excellent understanding of machine learning techniques
- Experience with programming languages, including Python or Java
- Experience with developing software in high-level languages, including Java, C, or C++
- Knowledge of statistics and experience using statistical packages for analyzing large datasets (SAS Stats or similar tool)
- Experience in credit lending, credit review, risk management, accounting, or audit
- Experience with developing solutions using Amazon Web Services
- Experience with developing software in high–level languages, including Java, C, or C++
Skills For All Source Analyst / Data Scientist, Senior Resume
- Experience in working with data analytics, modeling, statistics, or another quantitative discipline
- Experience with developing business and delivering client services
- Experience with winning and managing federal contracts
- Experience with analyzing Military Health data, including M2, MDR, and HDW
- Experience with machine learning techniques and algorithms, including k–NN, Naive Bayes, SVM, or Decision Forests
- Experience with developing software solutions using Java
- Extensive experience with SAS/SQL/Hive for extracting and aggregating data
Skills For Health Data Scientist, Senior Resume
- Experience building and implementing statistical models
- Experience with creating and deciphering surveys (i.e., survey analytics background)
- Experience in Database programming (SQL server/Oracle/Teradata) data Integration (Via ETL/DB to DB), Data Modeling, Dashboard/Report development
- Demonstrated proficiency in applying ArcGIS to solving business problems
- Experience wrangling with messy data at scale using libraries like Pandas or technologies like Scala / PySpark to structure and clean datasets
- Experience with developing software solutions using Java
- Experience with programming languages, including Python, R, Scala, or Java
- Experience with manipulating data and ETL in parallel processing and distributed compute environments
Skills For Data Scientist Senior Prin Resume
- Experience with statistical analytical programming language, including Python or R
- Experience in working on an analytical tool like Spotfire, QlikView, Tableu etc
- Experience in one or more dashboarding tool - QlikSense/SAP BO tools/Tableau/Power BI
- Experience in building solutions for industrial asset management and
- In Data Science, Machine Learning, Quant Analyst or similar related experience (Kaggle)
- Experience managing small teams of data scientists
Skills For Consulting Analytics Senior Data Scientist Senior Consultant Resume
- Experience working with intel data analysis both in the development of analytical tools and the use of the tools to produce mission focused reports
- Experience in mathematical modelling and optimization
- Excellent understanding of statistical and technical methods to produce relevant insights out of huge amounts of data
- Experience with data gathering and analysis of large data sets
- Experience with Cloud architecture and development, including Amazon Web Services (AWS) or Commercial Cloud Services (C2S)
- Experience with building applications in a compiled language
List of Typical Responsibilities For a Data Scientist, Senior Resume
Responsibilities For Data Scientist Senior Resume
- Proven ability to independently deliver end-to-end analyses by asking the right questions, extracting data, building predictive models, and making results actionable
- A demonstrated command of the concepts of hyperparameter tuning, model validation, statistical inference and feature engineering
- Solid experience with UNIX and shell scripting
- Relevant experience solving analytical problems using quantitative approaches; preferably in software, online services, or security
- Experience with R, Python or similar programming or statistical scripting languages
- Experience with machine learning algorithms including but not limited to gradient boosted trees, random forest, neural nets and ensemble methods
- Experienced with designing & implementing simulation models of complex business or other systems
Responsibilities For Data Scientist / Senior Data Scientist Resume
- Experienced with Agent-based modeling and Discrete event modeling
- Experience of working on the HANA environment
- Min experience of 6-8 years in database programming (SQL Server/Oracle/Teradata)
- Experience in Data Integration (Via ETL/DB to DB), Data Modeling, Dashboard/Report development
- Experience with Map Reduce programming, the Hadoop Distributed File System (HDFS), and JSON or BSON
- Experience in working with benefits and health data
- Experience with developing software in Java, C, C++, or other high-level languages
Responsibilities For Data Scientist Senior Advisor Resume
- Experience in working with data analysis and manipulation
- Experience with developing software in Java, C, C++, or other high–level languages
- Experience with developing software in Java, C, C++, or equivalent high level languages
- Experience with DevOps automation tools, including Jenkins, Chef, Puppet, or Ansible
- Experience with data analytics, data correlation, statistical algorithms, databases, data regression, and scripting languages
- Experience with IDEs, including Spider IDE and SQL Developer
- Experience with Spectral data mining methods
Responsibilities For Advanced Analytics Data Scientist Senior Stf Resume
- Experience managing projects, programs or vendors
- Good applied statistical analysis techniques (i.e., distributions, statistical testing, logistic regression analysis, ROC curve, etc.)
- Successfully understanding the problems from the customer’s point of view in order to build and execute solid analytic work plans
- Experience with distributed computing systems like Hadoop and/or Spark
- Experience working with remote environments such as Amazon Web Services and Linux Servers
- Experience working with version control software such as Git and Github
Responsibilities For Time Series Data Scientist, Senior Resume
- Experience working with geospatial data in a multi-user enterprise environment
- Demonstrated ability in writing SQL
- Experienced with Queueing Theory
- Industry (excluding research) experience in data science & model development
- Work closely with Legal teams and management to prioritize business and information needs
Responsibilities For Data Scientist Senior Consultant Resume
- Experience with data analysis
- Experience with data project management, including cleaning and preparing data and creating, structuring, and maintaining data sets
- Experience with Microsoft Office, including using Excel for data manipulation
- Experience with integrating and managing disparate data sources
- Experience with object-oriented programming
- Experience in implementing algorithms with Python, R, and Java
- Experience with statistics, math, data analysis, or science
- Working knowledge of designing, developing, programming, and testing software applications
Responsibilities For All Source Analyst / Data Scientist, Senior Resume
- High level of business acumen in building prediction models using deep learning and machine learning
- Practical examples of using applied analytics for business problem solving (i.e., flight risk, quality of hire, sentiment analysis, forecasting, etc.)
- Deep understanding of traditional and machine learning approaches for forecasting, especially in call center area
- Play a lead role in developing emerging financial analytics to drive results and help influence business decisions
- Technical expertise regarding data access, data mining and segmentation techniques
- Collaborate and share initiatives in developing & innovating analytical solutions
- Use large-scale data mining and machine learning techniques to discover actionable patterns in data that optimize or innovate and solve business problems
Responsibilities For Health Data Scientist, Senior Resume
- Applies knowledge of computer science to run algorithms more efficiently, deploy solutions and find new ways of managing and analyzing the data
- A passion for discovering solutions hidden in large data sets and working with a variety of stakeholders to improve business outcomes
- Work with data-sets of varying degrees of size and complexity including both structured and unstructured data
- Advanced competence in machine learning, deep learning, neural networks and support vector machines
- Proficient in at least one programming language (e.g. C#, C, Python, Perl)
- Seeks out the appropriate people to approach for guidance either formally or informally depending on the type of issue
- Interpret and analyze data using exploratory and statistical techniques
- Develop data modeling methods
- Lead teams providing statistical analysis to arrive at data-driven recommendations and decisions
Responsibilities For Data Scientist Senior Prin Resume
- Knowledge of concurrency and parallel processing algorithms and data structures and statistics, algebra, and calculus
- Knowledge of DoD data standards and database objects development, including stored procedures, functions, and triggers
- Lead projects and communicate results to business partners, ensuring recommendations are understood and incorporated in products and processes
- Manhattan (midtown, walking distance from Penn Station and Grand Central)
- Established leader in working in a collaborative, team oriented environment
Responsibilities For Consulting Analytics Senior Data Scientist Senior Consultant Resume
- An understanding of surveys and survey analytics
- Design machine learning projects to address specific business problems determined by consultation with business partners
- Implements batch and real-time model scoring to drive actions
- Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions
- Determines the continuous improvement opportunities of current predictive modeling algorithms
- Proficiency in one or more programming languages such as R, Python, HTML5, etc. is required
- Write scripts including Python and JAVA scripts