Data Scientist Resume Sample
Nelson Ziemann
186 Mckenna Drives,
Los Angeles,
CA
+1 (555) 712 5779
Work Experience
Data Scientist
07/2017
-
PRESENT
Houston, TX
- Java or Python coding experience
- Proven success at an Internet startup or early stage company. Recruiter: Ilana Raz
- Driving the cycle of progress by finding the next deliverable that pushes us forward and making sure we don’t get mired in the data doldrums
- Developing collaborative workflows that bring our talents together and serve as a model for the larger organization
- Motivating and mentoring new data scientists to grow their skills and careers
- Telling stories to executives, peers and reports, or at conferences and meet-ups, using data, empathy, and user insight to get folks excited, to understand customer journeys, or to see new opportunities on the horizon
- Getting your hands dirty! Writing code, running queries, finding datasets, or pulling knowledge together as a resource for folks getting up to speed
- Apply state of the art machine learning, statistics or data mining in a variety of areas, including customer analysis, video content genome, social analysis, etc
Data Scientist
07/2012
-
03/2017
San Francisco, CA
- Invent and fast iterate on novel solutions to challenging data related problems
- Develop scalable and efficient methods for large scale data analyses and model development
- Coaching and providing research and system guidance to a team of other researchers on a variety of areas including video content genome, social mining, data analysis, etc
- Work cross-functionally with other business leaders to realize new business opportunities
- Help build and manage teams of data scientists and analysts
- Contribute to the technical vision around the tools we use and the way we work
- Mentor less-experienced members of the team toward becoming better data scientists
Education
Oglethorpe University
2006 - 2011
Science's Degree in Computer Science
Professional Skills
- Excellent prototyping skills and expertise programming skills in C/C++ and python
- Strong, business oriented communications skills (focus on actionable intelligence) and good interpersonal skills in one-to-one and team settings
- Strong experience skills and previous experience managing projects
- Strong communication skills and client facing skills
- Breadth of leadership and collaboration skills, as well as excellent verbal and written communication skills
- Strong product intuition, data analysis skills and business presentation skills
- Programming skills & experience, preferably have Python/Java/C++ experience
How to write Data Scientist Resume
Data Scientist role is responsible for programming, analytical, business, technical, analysis, advanced, python, interpersonal, sql, presentation.
To write great resume for data scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Scientist Resume
The section contact information is important in your 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 Data Scientist Resume
The section work experience is an essential part of your 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 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 data scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Scientist resume experience can include:
- Good interpersonal skills, insatiable curiosity, and strong ability to prioritize and pick an impactful insight from heaps of data
- Strong software engineering skills and experience working in an Agile software development environment
- Good scripting and programming skills to do proof of concepts and quickly validate trends and track improvements
- Superior professional writing skills and public speaking skills required
- Strong self-learning skills. Ability to pick up and adapt modeling methods from case studies or other proven approaches
- Strong database skills with experience in SQL. Ability to create scripts/programs for data analysis using Java, Python and/or Perl in a Unix/Linux environment
Education on a Data Scientist Resume
Make sure to make education a priority on your 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 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 Data Scientist Resume
When listing skills on your 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 data scientist skills:
- Strong programming skills in MATLAB, R and/or SAS required; some experience with SQL. · Strong collaboration and communications skills
- Strong technical skills, including experience with query, modeling, and data visualization tools. R, SQL and Tableau experience strongly desired
- Strong relationship building skills. Ability to interface effectively with diverse internal clients
- Has strong skillset in creating reports and performing business analysis in Tableau and Excel proven ability to analyze data and identify opportunities
- Strong programming and debugging skills & experience
- Strong communication skills and experience working on a data science or engineering team
List of Typical Experience For a Data Scientist Resume
1
Experience For Data Scientist Resume
- Strong problem solving skills, attention to detail and solid collaboration skills
- Proven experience in coding with data science languages (R, MATLAB, Python, SAS, SPSS) needed, general coding skills (C++/C#, scripting) desirable
- Strong visualization skills and experience with Dashboards & Reporting tools
- Good written and spoken English, good presentation and communication skills; collegial but able to work independently; able to travel while on projects
- Supervisory experience - at least 5 years’ experience with data analytics and prior supervisory experience desirable
- Good SQL/data manipulation skills required including cleaning and managing data
- Excellent analytical, problem-solving, critical-thinking, and spoken and written communication skills
- Strong language and writing skills to support creation of data dictionaries, mapping and detailed design documentation
2
Experience For Data Scientist Resume
- Strong analytical and problem-solving skills, with ability to deal with complex multi-component problems requiring quantitative analysis
- Strong programming skills using Python, Java script, Perl, or similar
- Strong analytical capabilities and creative problem-solving skills
- Strong skills in programming of prototype tools in Matlab, IDL, or similar high level language
- Excellent programming skills in multiple high-level languages (e.g. Python, Java) and statistical or mathematical tools (e.g. R, SPSS, NumPy/SciPy, pandas)
3
Experience For Data Scientist Resume
- Excellent communications skills including the ability to explain concepts to a diverse audience
- Self motivated, Strong communication and team building skills
- Strong data mining and statistical analysis skills
- Excellent communication skills; be an active listener and have the ability to synthesize high-level information
- Strong project management and analytical skills, with the ability to create innovative, viable solutions
- Exceptional analytical and problem solving skills, and experience with metric-based decision making
- Excellent communication skills, including the abilities to be an active listener and synthesize high-level information
- Excellent communication skills – Ability to convey message to team members and other stakeholders
- Experience applying quantitative skills to solve actual business problems
4
Experience For Data Scientist Resume
- Solid analytical modeling skills
- Strong communication skills – ability to discuss technical issues with a variety of audiences
- Excellent communication skills and desire to collaborate in a multi-disciplinary environment
- Excellent database skills with deep knowledge of SQL
- Demonstrated awareness of presentation skills
- Excellent communication skills, especially the ability to explain complex technical issues to a non-technical audience
- Three years experience working with, a SQL programming skills
- Experiences SAS skills in Data management, Tableau, SQL, BASE, and in MS Suite (Word, Excel, PowerPoint, and Visio)
- Excellent communication skills with the ability to explain complex ideas and manage relationships with stakeholders
5
Experience For Data Scientist Resume
- Strong skills with analytical tools such as R, Python, Matlab, Stata, or EViews
- Strong SQL skills and the ability to use tools such as Python and R to work efficiently at scale with large data sets
- Keeping analytical computing / predictive modeling / data analysis skills current
- Formulating mathematical approaches to solve problems with prior experience with Gurobi, ILOG CPLEX
- Working experience with relational database management system (RDBMS) with a strong knowledge of SQL
6
Experience For Data Scientist Resume
- Experience in web analytics, including experience in extracting and combining different data sources and developing strategic recommendations
- Prior experience in applying data mining and/or predictive modelling in a business analytics, market research or scientific setting
- Proven experience in identifying data research subjects and developing methodology to carry out the analysis and modeling
- Experience with various databases, machine learning techniques, approaches to big data analytics, and experience developing data mining algorithms
- Demonstrated experience with web traffic and paid search analysis, including corresponding tracking tools (e.g. Site Catalyst / Google Analytics)
- Strong coding experience utilizing either Python, R, Java or C++ is prerequisite
7
Experience For Data Scientist Resume
- Proven experience in creating survey questions and performing survey and question analysis
- Scientific programming skills in one of the following areas: R, Matlab, Python or SAS
- Prior experience creating meaningful visualization using ggplot, matplotlib, and/or other visualization tools such as Tableau
- Practical experience establishing and measuring validity criterion for experiments and tests
- Familiar with modern IoT (internet of things) general architecture and prior experience of data analytics applications involving IoT streaming data
- Demonstrated experience presenting complex technical ideas and finding to various audiences
- Software engineering skills in one or more object-oriented languages (C++/Java) and scripting language (Python/R)
8
Experience For Data Scientist Resume
- Experience testing and validating statistical hypotheses
- Have skills in Machine Learning and Neural Networking
- Effectively communicate and influence Customer Development team members, Sales Planning, field teams and IT teams as needed
- Extensive programming skills in the Hadoop environment (Map/Reduce, Pig, Hive, HBase, Mahout)
- Programming skills in R, MATLAB, and/or SAS required
- Build and validate prototypes to demonstrate and quantify the benefits from proposed changes to existing decision systems and operational processes
- Advanced data scientist skills, willing to dive in to solve new problems and design/ implement new platforms and solutions
- Experience with model validation/ testing
9
Experience For Data Scientist Resume
- Prior experience using statistical and computational methods to analyze and make inferences about health data
- Strong experience in statistical modelling, quantitative analysis
- Utilizes basic statistical, mathematical, and predictive modeling as well as business strategy skills to build algorithms
- Utilizes programming skills in SAS, SQL, SPSS and R or Python and creates and designs new reports independently
- Proven experience of working as a Business Analyst or Data Scientist, preferably in an investment bank or similar financial services organisation
10
Experience For Data Scientist Resume
- Prior experience with designing visualizations to explain complex data interactions
- 2) Demonstrated experience of appropriate analytic methods and methodological tools in the following areas
- Solid experience in answering business questions through analytics
- Build, validate, test, and deploy models and algorithms using proven and experimental techniques
- Solid knowledge/experience with at least one of the following languages: Python, Java, C/C++, C#, or R
- Experience using Big Data tools and platforms (e.g. Hadoop, Pig, Hive, Spark) required. Experience with large scale database environments (MPP) desirable
List of Typical Skills For a Data Scientist Resume
1
Skills For Data Scientist Resume
- Strong analytical and programming skills with a solid foundation in data structures, algorithms, modeling and software design
- Strong Programming skills and experienced with object oriented languages
- SPSS Predictive and Analytics Development currently possess skills of a Subject Matter Expert (SME) or approaching skills of SME
- Skills to communicate complex ideas effectively, both verbally and in writing, in English
- 10+ experience in advanced analytics with strong client facing, consultative and communication skills
2
Skills For Data Scientist Resume
- Strong communication skills and previous experience in project management
- Strong SQL skills and experience/knowledge
- Proven and strong problem solving, interpersonal, communication and data presentation skills
- Good programming skills incl. the proven ability to create prototypes e.g. in Python or Scala
- Strong algorithmic problem-solving skills including testing, debugging
- Excellent programming skills in Python or R, using Linux as the working platform
- Demonstrated experience in constructing, validating, and maintaining predictive and prescriptive models
3
Skills For Data Scientist Resume
- Be able to demonstrate a proven track record of designing and producing meaningful, effective data visualizations using relational and aggregate data sources
- Analytics, modelling or software development experience including coding/software development skills
- Solid analytic, problem-solving and strategic thinking skills to assess data and report on results
- Strong problem solving, programming skills
- Deep experience with data visualizations and tools. Experience working with Tableau & Business Intelligence and Reporting experience
- Very strong problem-solving skills, and quantitative / analytical thinking capabilities
4
Skills For Data Scientist Resume
- Demonstrated ability to work effectively, both internally and externally, and adept at working across organizational boundaries
- Proven analytical skills and hypothesis driven approach to problem solving
- Excellent communication skills, both written and verbal, to wide variety of audiences, including at the executive level
- Solid data management and statistical modeling skills: SAS, R, Mahout, Matlab, Python (SciPy, NumPy), SQL and Excel
- Well-developed interpersonal/relationship building skills and a strong team player
- Predictive modeling experience or equivalent skills & ability
5
Skills For Data Scientist Resume
- Good programming skills in at least one language (such as Python, R, Java) and at least one relational database (such as MS SQL, Oracle, Teradata)
- Excellent engagement, leadership, business acumen and influencing skills
- Strong statistical analysis and data modeling skills
- Excellent data skills - ability to extract complex data from various data systems and streamline the process
- Strong client management skills – ability to lead and persuade, positive energy, relentless focus on business impact
6
Skills For Data Scientist Resume
- Proven track record of solving challenging real-world problems by application of advance analytics skills
- Strong programming skills using R, SAS, SQL and Java
- Skills and experience of data cleaning, feature selection, and interpretation of results in a business environment
- Excellent communication and interpersonal skills; comfortable interacting with Customers and Management
- Excellent verbal and written communication skills, including the ability to influence senior executives
7
Skills For Data Scientist Resume
- Excellent programming skills in a major language
- Excellent programming skills in one or more of: R, Java, C, C++, Python
- Proficient oral and written communication in English, as well as effective interpersonal and communication skills
- Effectively demonstrate the ability to plan, facilitate, elicit, document and manage business, functional and technical requirements
- Strong communication skills and partnerships with technology, product strategy, client management
- Excellent organizational skills, with the ability to coordinate multiple work streams, multi-task, and work well under tight deadlines
8
Skills For Data Scientist Resume
- Hadoop, Cassandra, MongoDB or and/or Spark skills and experience. (Desired qualifications)
- Demonstrates strong project leadership capabilities, and experience interacting with non-technical users to explain modeling results and meaning
- Team player, strong communication skills, fast learner
- Strong skills in statistics and study design
- Exposure to Analytical tools like R / Knime / Rattle / SAS / SPSSGood Communication skills
- Excellent communication skills both for technical and non-technical audiences
- Good people skills, team orientation, quality-oriented, highly committed and professional
9
Skills For Data Scientist Resume
- Engineering, Financial and Modeling skills and knowledge
- Outstanding quantitative modeling and statistical analysis skills
- Scripting skills in Bash and at least one analytic programming language (e.g. R or Python)
- Consulting, client engagement, design&presentation skills
- Utilizing financial and statistical analysis and modeling skills
- Programming skills in Python, Java, C++, or similar languages
- Demonstrated experience of using R, SAS or similar tools for data analysis, structuring, transforming and visualising big data
- Prior data experience (cleaning raw data, coding analysis, and presenting results) either professionally or in an academic setting
10
Skills For Data Scientist Resume
- Solid understanding of key machine learning concepts, such as regression/classification and clustering, cross-validation, hyper-parameter optimization
- Use data-mining and analytical skills to help business partners excel and bring lasting, positive changes to our business
- Effectively communicating with Product Management, Engineering, and senior business leaders to facilitate broader analytics understanding
- Three years of experience with modeling operations including data collection, model development, productionalization, validation, and monitoring
- Work on high priority initiatives including (but not limited to) account prioritization, account prospecting, and opportunity scoring
- Strong understanding and experience with applied statistics, including hypothesis testing
- Excellent experience of statistical modelling and tools including: SAS, R, SPSS, Matlab
- Experience managing and validating big data required
- Good knowledge of products across asset classes, being able to understand a problem in the business context prioritizing those with bigger value
List of Typical Responsibilities For a Data Scientist Resume
1
Responsibilities For Data Scientist Resume
- Demonstrate an outstanding leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills
- Good management skills along with persuasion skills
- Demonstrated computational skills and experience with R or other Statistical & Mathematical programming packages
- Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities
- Experience with drawing conclusions and communicating those conclusions effectively
- Excellent programming skills in a high-level language (e.g. Python) and statistical or mathematical tools (e.g. R, NumPy/SciPy, pandas)
- Strong science and engineering skills
- Experience working with different datasets of different sizes and shapes, and be able to run algorithms on large size data effectively and efficiently
- Excellent communications & interpersonal skills. Ability to communicate complicated analysis & insights to non-technical audience
2
Responsibilities For Data Scientist Resume
- Strong software engineering skills, such as Agile development
- Strong Skills in Python or R
- Excellent communication skills to both technical and non-technical members of the team, and a consultative approach to work
- Strong HQL / SQL skills
- Strong quantitative, analytical, statistical and conceptual thinking skills
- Strong data visualization, presentation and communication skills
- Preferably solid Javascript, .Net, Python or Java development skills
- Excellent program/ project management skills to build and execute project plans with clearly defined deliverables, timelines, and ownerships
- Strong conceptual and quantitative problem solving skills and ability to think creatively
3
Responsibilities For Data Scientist Resume
- Hadoop, Cassandra, Mongo DB or and/or Spark skills and experience
- Working experience with relational database management system (RDBMS) and/or the Hadoop ecosystem, with a strong knowledge of SQL, Hive, and/or Pig
- Coding skills (such as Python, Java, or Scala)
- Experience in SAS or SQL; other programming languages. Predictive modeling experience, machine learning, and big data technologies such as Python, R, Hadoop
- Good understanding and applied experience in machine learning or predictive modelling, mastery of basic competencies needed to build a predictive model
- Proven experience doing hands-on analysis and strategic thinking ability
- Experience in advanced analytics or research development experience in machine learning algorithms, statistical modeling,
- Prior experience working with very large datasets using Big Data tools and platforms (Hadoop, Spark, or the equivalent)
4
Responsibilities For Data Scientist Resume
- Good undersanding and experience in analytics and Data Science including linguistic and statistical algorithms
- Deliver modelling algorithms for the department, where your skills help us in delivering recommendations to others departements in HQ or support Studios Teams
- Experience in conducting complex statistical analysis in a business or academic environment 2+ years experience in one or more of the following
- Proven experience in managing and manipulating large, complex datasets
- Proven success in consulting environments and experience managing internal stakeholders or external clients
5
Responsibilities For Data Scientist Resume
- Intermediate to advance MS Office skills including Excel with the ability to create, manipulate and formulate spreadsheets
- Strong programming experience in Python, Java, C/C++ or similar OOD language
- Strong experience with data analytics and high volume processing. Familiarity with variety of data formats and protocols of structured and unstructured data
- Strong understanding of big data concepts and hands-on experience
- Experience building prototypes in R, Python, Scala, Java or similar stack to demonstrate the results of algorithmic approaches
- Demonstrated experience with developing data/information visualization tools
- Experience with statistical computing applications such as R or SAS (academic experience acceptable)
- Five (5) years of demonstrated business experience in healthcare analytics developing financial, clinical, and market segmentation models
6
Responsibilities For Data Scientist Resume
- Strong knowledge and experience of software development, modern database and indexing theories
- Experience with; Cloudera and/or Hadoop Experience with web protocols, SOAP, RSS and other publishing tools
- Thrive in a dynamic and fast-paced environment, and collaborate effectively with a variety of individuals and teams
- Excellent analytics and software development practice; the ability and desire to coach and learn from other excellent practitioners
- Expert level skills with advanced data and BI solutions
- Build and validate prototypes to demonstrate the benefits from proposed changes to decision systems and operational processes
7
Responsibilities For Data Scientist Resume
- Gather, manage, and synthesize large amounts of information effectively and creatively
- Team player with exceptional coordination and outreach skills
- Experience in Insurance or Financial Services or related field, strong knowledge of processes and data
- Relational database experience strongly desired
- Great communication skills and ability to concisely and to-the-point deliver recommendations & proposals
- Communicate complex ideas effectively – both verbally and in writing – in English and Portuguese
- Proven performer with at least 2-5 years of advanced analytics experience
- MSc + 5 years relevant experience / PhD + 2 years relevant experience
8
Responsibilities For Data Scientist Resume
- Exceptional presentation (reporting and visualization) and project management skills
- Assignment to hands-on practical projects which provide an opportunity to gain new knowledge and develop skills
- Continuously develop and acquire new technical skills
- Translate and effectively communicate complex concepts to a broad audience
- Communicate effectively both within immediate team and also across leadership team and with P/L
- Demonstrated Machine Learning, Artificial Intelligence, Predictive Analytics experience
9
Responsibilities For Data Scientist Resume
- Commercial software development experience and experience with open source development tools (e.g., Git, SVN, Maven, Eclipse, etc.)
- Strong theory/algorithm background and very good understanding on how to apply advanced mathematical algorithms knowledge to solve real business problems
- Possess the ability to apply math, statistics, programming and analytical skills to solve complex business problems
- Strong preference for those with energy market and/or trading environment experience
- Good mobile telecommunications industry knowledge, including experience with handset manufacturers, network equipment vendors, and/or chipset vendors
- Proven Alteryx (or equivalent) experience and a working knowledge of Qlikview
10
Responsibilities For Data Scientist Resume
- Effectively communicate technical project risks and issues along with recommendations to senior level management
- Interpret and document the analysis and results, and communicate the information effectively to the client
- Communicate effectively and collaborative with all levels of the business
- Effectively communicates with senior management as well as with colleagues from computer science, operations research, and business backgrounds
- Sound technical and analytical skills, concise and clean analytic graphics
- Effectively understand the business problems and requirements to identify the optimal modeling approach
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