Data Science Resume Sample
Arvel Brakus
8039 Maida Road,
Boston,
MA
+1 (555) 445 3491
Work Experience
Director of Data Science
09/2016
-
PRESENT
Phoenix, AZ
- Guiding junior data scientists to use machine learning to deliver products to address these use cases using both structured and unstructured data within Hadoop, Teradata, and SQL
- Designing experiments to determine best methodology for the job
- Creating machine learning models from development through testing and validation
- Designing rich data visualizations to communicate complex ideas to Technology leaders
- Provide broad technical leadership and develop the team’s data science culture as well as cutting edge analytic capabilities
- Collaborate with other data science leaders across the organization to share and bring best practices and benefits to Macy’s
- Assess appropriate vendor relationships related to analytical tools, technology, and data acquisition; support ‘proof-of-concepts’ that drive business success and sustained analytic growth
Data Science
11/2013
-
06/2016
Phoenix, AZ
- Measurement Innovation – Partner directly with stakeholders and operational groups to conduct innovative research on a variety of projects
- Experience in the design, development, implementation and integration of business software and/or analytics solutions
- Work experience as an analyst, scientist, or engineer
- Work experience leading successful, high-impact technical projects
- Knowledge of technical project management best practices
- Strong interpersonal skills with ability to connect with individuals at all levels and develop partnerships
- Proven ability to drive change through positive influence of co-workers, leadership, and business partners
- Exceptional verbal / written communication skills
- Proven ability to create and deliver effective executive presentations
Intern, Data Science
01/2007
-
06/2013
Houston, TX
- Work in
- Global Research – Work with a global team to develop methodologies for integrating data from consumer, media and other sources to develop country-specific insights on consumer attitudes and behaviors
- Process Optimization – Propose approaches for using emerging technologies to enhance and standardize data science capabilities across a range of Nielsen client products
- Deepen Analytical Skills – Apply advanced analytic techniques to derive new insights for clients on consumer behavior and media use to help “tell a story” or answer an issue of client concern
- Measurement Innovation – Partner with leading data scientists, technology experts and engineers to develop new ways of assessing and measuring a range of consumer attitudes and behaviors to drive new client insights
- Global Research – Work with managers on research projects across the globe, including testing TV services and other global projects such as Life360, China 3-screens, Nielsen Mobile, and Nielsen Consumer
- Deepen Analytical Skills – Perform qualitative and quantitative analyses on data and apply advanced analytic techniques to derive new insights on consumer behavior and media use to help “tell a story” or determine the answer to a client concern
Education
Oklahoma State University - Tulsa
2001 - 2006
Science's Degree in Computer Science
Professional Skills
- Strong interpersonal and collaboration skills - strong oral, written communication, and presentations skills
- Good people management skills with at least 3 years of experience, and strong communication skills, both written and oral
- Strong skills using predictive modeling tools like SAS (Base, EG, E Miner others), R, Python, etc. Data Management skills using SQL, Hive, noSQL etc
- Strong interpersonal skills, time management & organizational skills (structured way of working)
- Strong communication skills; clear and concise written documentation skills
- Strong communication skills, clear and concise written documentation skills
- Strong organizational and communication skills with experience of developing and instilling a culture of data-driven decision-making
How to write Data Science Resume
Data Science role is responsible for business, technical, analytical, programming, interpersonal, presentation, analysis, database, analytics, learning.
To write great resume for data science job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Science Resume
The section contact information is important in your data science 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 Science Resume
The section work experience is an essential part of your data science 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 science 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 science position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Science resume experience can include:
- Excellent written and presentation skills - able to communicate effectively with engineers and senior managers
- Teradata (or equivalent) experience with strong relational database SQL skills; including optimization techniques
- Excellent communication skills. Proven ability to present complex concepts to customers, internal executives and other stakeholders
- Additional required skills: curiosity, creativity, independent work, ability to drive a project to completion, written & Interpersonal communication skills
- Demonstrate the necessary communication, skills, and experience to gather broad buy-in for data science strategies
- Demonstrated report development skills; ability to design and develop reports and dashboards based on business requirements and optimal user experience
Education on a Data Science Resume
Make sure to make education a priority on your data science resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data science 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 Science Resume
When listing skills on your data science 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 science skills:
- Strong applied and research skills in data-mining and applied machine learning and experience in developing innovative data solutions
- Strong programming skills – experience with at least one of Python, JavaScript, Java, R
- Project Management skills - manages effectively day-to-day operations of multiple or large-scale analytics projects
- Strong interest and proven experience in analytics-enabled digital transformations (e.g. multi-channel, segmentation, user experience, digital plant, etc.)
- Excellent verbal and written communications skills and good at developing relationships across diverse teams, including marketing and account teams
- Excellent communication skills, ability to work with multiple teams, and strong work ethic
List of Typical Experience For a Data Science Resume
1
Experience For Head of Data Science Resume
- Excellent people leadership skills and a proven track record of developing high potential talent
- Experience:some experience in at least one of the following programming languages: R, Pythen, Java, SQL and previous experience in the area of purchasing
- Strong data analysis, problem solving skills, strategic thinking, attention to detail and bias for delivering results
- Strong scripting, programming & software development skills and statistical modeling
- Experience and understanding of the architecture of database driven business applications (Data modelling skills)
- Experience core java skills with detail understanding of the project architecture
- Strong persuasive skills to influence product and leadership teams regarding product strategy
- Demonstrated strong leadership competencies with broad business orientation and experience in leading teams in the management and completion of clinical trials
2
Experience For Director of Data Science Resume
- Demonstrated customer focus with the ability to prioritize towards improving overall customer experience
- Build a long-term vision, effectively prioritize and identify and mitigate risks
- Excellent communication skills, and ability to work across multiple teams and levels within an organization
- Strong communication skills key
- Self-directed and strong time management skills
3
Experience For Data Science Lead Resume
- Data-oriented personality and excellent communication skills
- Strong business sense and logical skills to balance data-driven decisions with intuition
- Strong people management skills both at client site and an offshore environment
- Strong execution skills, individual accountability, self-directedness and a successful record of driving multiple concurrent projects
- Experience in data programming skills, such as SQL, Python
- Strong team player with exceptional leadership skills
- Good Communication and English skills,
4
Experience For Data Science Specialist Resume
- Strong conceptual skills and innovation attitude, passion to learn new approaches and technologies
- Strong presentation skills, to both technical and business audiences
- Programming skills in Java, Scala, Python, Perl, and SQL
- Applied statistics skills, such as sampling, hypothesis testing, regression, classification, clustering, etc
- Superior analysis, research, critical thinking and problem solving skills
- Demonstrated experience programming and scripting in Linux/Unix and Windows
- Demonstrated skill in statistical regression, modelling and in machine learning packages
- Expert level Microsoft Office skills with particular strength in developing compelling PowerPoint slides/presentations
- Communicate effectively and professionally with people, delivering impactful solutions and presenting work in a concise and thoughtful manner
5
Experience For Data Science Developer Resume
- Big Data experience: Experience in dealing with very granular data, using key Big Data technologies)
- Demonstrated experience with event planning and organizing student outreach events, orientation, and open houses
- Proven experience managing large cross functional technical projects
- Communicate effectively to technical and non-technical audiences in engineering, business, product and executive areas
- Demonstrated experience in creating production ready models
- Experience in resolving complex data issues in creative and effective ways. High self-motivation for success in a fast-paced, dynamic environment
6
Experience For Data Science Associate Resume
- Demonstrate strong business understanding and suggest suitable solution for various business scenarios
- Presentational/report writing skills
- Demonstrated experience with SQL programming language, Oracle databases, Data Warehouses and Data Governance concepts
- Multi-national experience and experience leading global or complex regional programs
- Intermediate teaching skills
- Intermediate coding skills
7
Experience For Intern, Data Science Resume
- Strong design and development experience building reports, dashboards, visualizations, complex calculations
- Demonstrated success in building teams, strong people, customer and partner relationships
- Advanced Excel skills including the ability to develop and automate processes
- Apply computer programming skills to organize, manage and analyze large sets of data
- Demonstrated skill in object oriented design and development using languages such as C#, Java, etc
- Demonstrated skill using R
8
Experience For Data Science Architect Resume
- Demonstrated database development skill using relational databases such as SQL Server, MySQL, PostgreSQL, etc
- Masters or PhD in statistics, mathematics, engineering or similar quantitative fields; or significant demonstrated experience in advanced data analytics
- Inquisitiveness and a desire for continued self-improvement and development of new skills
- Strong team player with significant collaborative work experience
- Software development skills in one or more high level languages (Java, C++), one or more scripting languages (Python/Perl/Shell), and knowledge of R
9
Experience For Data Science Director Resume
- Knowledge: Data visualization skills, such as proficiency in Tableau, PowerBI
- Solid experience in managing teams on internal/external delivery of short to long term advanced analytics project
- Solid hands-on experience in practical predictive modelling and in building recommendation engines
- Proven experience in data analysis, report building, research or similar work with an emphasis on customer service or product management
- Conduct training and knowledge transfer of data science skills for team members
- Demonstrated experience managing teams, budgets and schedules
- Strong knowledge and experience in database technologies, including SQL and other relational databases, no-SQL, and Time Series databases
10
Experience For Data Science Internship Resume
- Enhance presentation skills for public speaking or business settings
- Mentor junior team members, advance own and others’ technical skills
- Develop multiple-task management and time management skills
- Great communication and presentation skills, team-oriented
- Demonstrated experience with Python, Scala, or Java
- Translate technology findings into actionable business insights and recommendations and effectively communicate these results to key stakeholders
- Experience with data analysis using tools such as R or Python and good control of SQL
- Strong knowledge of and experience with statistics
List of Typical Skills For a Data Science Resume
1
Skills For Head of Data Science Resume
- Good SQL skills with knowledge and experience in working with any of the RDBMS database
- Possessing strong analytical and troubleshooting/problem solving skills while still maintaining business focus
- Strong project management skills, comfortable developing detailed project plans, tracking deliverables and managing budgets
- Strong analytical skills, knowing standard methodologies in digital marketing analytics and data science
- Excellent people management skills, with a track record of developing high performing, engaged teams of technical experts
- Strong analytical skills using statistics and machine learning models
- Strong statistical/econometric modeling skills or knowledge in machine learning algorithms
2
Skills For Director of Data Science Resume
- Good communication skills and desire to work with and lead cross-functional teams working on learning analytics problems
- Solid understanding of database principles; experience in data manipulation and cleaning; experience in identification and resolution of data issues
- Excellent communication, interpersonal, convincing, analytical and problem solving skills
- Strong Analytics and Statistical modeling with expertise in modeling tools like SAS /R / Python and Advanced Excel and VBA skills
- Excellent entrepreneurial thinking, innovation, and real world problem solving skills
- Excellent writing and speaking skills who can empathize with diverse groups and tailor communications to the capacity and needs of each audience
- Excellent analytic and data-driven thinking skills
- Strong influencing skills – ability to work with cross-functional team to gather inputs and align objectives and recommendations
3
Skills For Data Science Lead Resume
- Demonstrated leadership and networking skills
- Excellent written and communication skills to report back finding in a structured, clear, simple way
- Strong quantitative and qualitative analytic skills, specifically financial analysis, budgeting, risk analysis, and statistical methods
- Strong programming skills in Java, C++ and/or, Scala
- Strong problem solving and analytical skills
- Demonstrated problem solving and facilitation skills
4
Skills For Data Science Specialist Resume
- Strong coding skills (R, Python)
- Proven ability to get things done – leadership, project management skills and resourcefulness, including the ability to persuade others
- Strong communication skills – ability to communicate with clarity across the organizations
- Proven project management skills – ability to manage and coordinate large and complex projects
- Excellent skills in Hadoop/Spark application development, R, SQL, Python, and data visualisation – Tableau, Spotfire
- Strong interpersonal skills at all levels, from analyst to C-level managers
- Expert level SQL skills and experience with at least one analytical software package: R, SAS, Matlab, KNIME
- Core product management skills such as product discovery, prioritization,
5
Skills For Data Science Developer Resume
- Familiarity with software development life cycle, excellent written and oral communication skills
- Good data visualization skills and familiarity with Matplotlib, Plotly, Seaborn is desirable
- Excellent data analysis skills is required
- Strong architectural skills and an attention to detail
- Excellent written and verbal communication skills for varied audiences on analytical subject matter
- Relevant post-graduate work experience or demonstrated work experience in data science related roles required
- Effective communication skills, comfortable conversing with domain experts, and capable of delivering executive-level presentations
6
Skills For Data Science Associate Resume
- Excellent data mining skills. Statistical analysis understanding is required
- Demonstrated organizational skills, aligning available resources to meet goals
- Strong quantitative analysis and programming skills (R and/or Python)
- Comfortable speaking to larger groups and possess excellent interpersonal skills
- Strong communication skills and ability to represent the group within NIBR and throughout the wider scientific community
- Strong people and project management skills across a matrixed organization
- Good cross-team collaboration, communication, and presentation skills
7
Skills For Intern, Data Science Resume
- Strong Data Science skills
- Excellent communication skills, verbal and written, with internal and external audiences
- Strong analytical and algorithmic problem solving skills
- Computing skills: scientific computing and scripting (R, Python, Perl, Jupyter, Hadoop, AWS), software development, database design and coding
- Building data as products using advanced analytical tools, Machine learning and AI skills
- Outstanding listening skills to understand Vertex’s strategy, goals, and needs
- Pricing, solution pursuit, and win strategy skills
- Programming (R, Python and/or SQL) and visualization (Tableau) skills
- Outstanding intellect, drive and interpersonal skills and the drive to challenge the status quo
8
Skills For Data Science Architect Resume
- Solid understanding and experience in building supervised and unsupervised models using both traditional statistical methods and machine learning algorithms
- Proven experience with working on various databases including Big Data platforms. This includes data engineering, analysis and modeling
- Demonstrated experience working with or on a Data Science team and familiarity with data mining and machine learning techniques
- Data modeling skills. Including relational and dimensional data modeling and physical database design of decision support systems
- Prior experience with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable
- Have robust statistical significance testing, A/B testing, predictive analytics skills
- Critical thinking skills in competitive positioning, product analytics, and product architecture
9
Skills For Data Science Director Resume
- Demonstrated experience in doing POCs and evaluating vendor software and services related to Advance Analytics
- Experience of dealing with scalability challenges and the ability to influence commercial decisions using big data based on strong knowledge and judgment
- Performs in-depth investigations of data problems employing statistical skills and developing predictions
- Exceptional analytical, problem solving, decision making, communication, and organizational skills
- Flexible; ability to multi-task, while managing priorities and workflow, and the ability to handle changing priorities and demands on time
- Intermediate project management skills, including use of Microsoft Project or similar tool
- Value Creation skills - manages development of the business case, acting as primary Value Architect for client and Accenture alike
10
Skills For Data Science Internship Resume
- Deal and engagement / solution shaping skills
- Speaks and writes clearly and effectively in English even when relating complex information
- Strong theory/algorithm background and very good understanding on how to apply advanced DS techniques to solve real problems
- Prior analytics and data mining experience, with focus on segmentation strategies and predictive models
- Advanced analytical, organizational and problem-solving skills
- Effectively work with demanding internal clients across multiple cultures and geographies
- Familiarity and/or desire to expand skills using data science tools like R, SQL, and other statistical and analysis software
List of Typical Responsibilities For a Data Science Resume
1
Responsibilities For Head of Data Science Resume
- Experience with industry leading technologies and concepts; strong React and Redux experience required
- Possess strong analytic skills, display maturity & professionalism
- Strong skills with SAS and R, including an understanding of each tools comparative strengths
- Basic experience in data analysis and statistical analysis skills are desired
- Experience with industry leading technologies and concepts;, strong React and Redux experience required
- Use strong programming skills in Python, R, or any of the major languages to prepare, model and train machine learning algorithms
- Strong written and oral communications skills coupled with the ability to work with all levels of IT and business unit management
2
Responsibilities For Director of Data Science Resume
- Superb intellectual and strategic capabilities with strong communication skills that convey expertise and confidence
- Strong interpersonal, communication and presentation skiLls with ability to interact positively with senior management
- Excellent verbal and written communication skills to share results and conclusions to technical and non-technical audience
- Data Engineering and Data Science skills and experience
- Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
3
Responsibilities For Data Science Lead Resume
- Strong programming experience in at least one of the following languages: Java, Scala, Phyton, SQL
- Demonstrated experience as a full stack developer, leading the implementation of user interfaces, and building creative data visualizations
- Strong expertise in MATLAB, C or C++, SQL and application of statistical methods in analyzing data. PYTHON, R would be good to have
- Proven experience in delivering Data intensive projects
- Project and program management experience in a software development environment - specific deep experience and functional expertise in drilling operations
- Good at building strong relationship across businesses as well as with remote global stakeholders of different cultures
- Promote analytic usage and skills among management and employees through programs that training, mentoring, and the selection of appropriate analytics tools
- Effectively motivate and coordinate cross-functional teams in a matrix environment to achieve well-defined timelines and goals
- Strong academic background in mathematics, statistics, computer science or related field with 5 years of relevant work experience
4
Responsibilities For Data Science Specialist Resume
- Demonstrated strong business, analytical and technical expertise
- Form strong business partnerships and make effective decisions
- A good knowledge of, and some experience with mathematics and statistics
- High attention to detail, collaboration skills, and ability to work under tight deadlines
- Proven experience devising analytics strategies, gathering crucial resources, executing and implementing new projects
- Effectively communicate with various business groups to gather requirements and prepare functional and technical documents
- Skilled and experienced with data analysis techniques and tools such as Python, Jupyter, R, MATLAB
5
Responsibilities For Data Science Developer Resume
- Expert level skills in SQL, Python, R and scikit-learn. Need to be able to pull your own big volume data, process it and develop algorithm
- Strong experience in machine learning, deep learning, data mining and statistical methodology
- Demonstrated experience using these techniques to solve business problems
- Experience in the data science field with 8+ years experience in a software engineering environment
- Strong experience with large relational databases, preferably Oracle
- Solid software development experience
6
Responsibilities For Data Science Associate Resume
- Develop and execute internal programs that seek to increase skills and commitment to data-driven decision making
- Some experience with data bases, handling of structured and unstructured data some experience on high speed and fiber-optic measurement
- Prototype experiences fast on R+Shiny to continuously learn and create new features and experiences
- Strong experience with the Hadoop/HDFS ecosystem
- Identify and prioritize opportunities to improve search experience
- Relevant leadership experience in data science and analytics in consumer goods, retail or consumer health environment
7
Responsibilities For Intern, Data Science Resume
- Solid software development experience
- Deep coding skills in Python, Scala or similar
- Experience of scorecard model development or validation in a banking or financial services environment
- General coding skills in analytic-oriented languages, such as: R, Python, Lua, SAS, Javascript, Julie, Go, Clojure, Scala
- Proposal and value proposition development skills
8
Responsibilities For Data Science Architect Resume
- Understanding the business requirements, focusing on improving customer experience
- Validating and tracking performance of deployed models
- Working experience in Python/R or similar technologies operating in an environment of Hadoop, Elastic stack, Scala, Spark etc
- Working experience with machine learning technologies
- Understanding of statistical analysis, experience with packages, such as R, scipy, numpy etc
- Interesting project assignments that support Discover’s strategic priorities and objectives
- Understanding and experience with government data sources
9
Responsibilities For Data Science Director Resume
- Understanding of ROI. Strong knowledge base related to ERP systems (SAP) and databases
- Coding experience with SQL, Java, Scala or Python
- Working Practice: independent, creative and effective
- Scripting experience (Python, R, shell, Perl, etc.)
- Experience in attracting, managing, and growing high-performing teams, including managing and developing leaders
- Experience working on statistical modeling and machine learning algorithms for supervised/unsupervised learning with very large data sets
- Experience managing multiple projects/initiatives and relationships, including working with challenging stakeholders
10
Responsibilities For Data Science Internship Resume
- Experience or interest in machine learning approaches including text mining, NLP, image processing, etc
- Experience and ability to lead a team delivering cutting data science technologies; including direct line management of high performing individuals
- Strong understanding of the entire life cycle of data science including data ingestion (ETL), cleaning, statistical modeling, and visualization
- Significant experience managing, mentoring, and coaching teams of data scientists and analysts
- Experience in accessing, manipulating and making sense of large amounts of structured and unstructured data
- Experience in designing and implementing complex reporting solutions
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