Data Scientist

Data Scientist Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Data Scientist job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • Machine Learning
  • R (Programming Language)
  • Data Science
  • Python (Programming Language)
  • Deep Learning
  • Natural Language Processing (NLP)
  • Tableau
  • SQL
  • Predictive Modeling
  • Statistics
  • Data Analysis
  • Data Visualization
  • Statistical Modeling
  • TensorFlow
  • Predictive Analytics
  • Artificial Intelligence (AI)
  • Data Mining
  • Scikit-Learn
  • Data Analytics
  • Apache Spark
  • Big Data
  • Hadoop
  • Algorithms
  • Git
  •   Show full list

Resume Skills: Big Data

  • Hadoop
  • Spark
  • Hive
  • Pig
  • Kafka
  • Elasticsearch
  • Apache Spark
  • Azure
  • AWS
  • Apache Hadoop
  • AWS S3
  • AWS Redshift
  • Google BigQuery
  • Google Cloud
  • Databricks
  • TensorFlow
  • Tableau
  • SAS
  • Apache Hive
  • HBase
  • Kibana
  • and data warehousing solutions
  • Apache Kafka
  • MongoDB
  • MapReduce
  • PyTorch
  • Scikit-learn
  • Keras
  • NumPy
  • Pandas
  • Scikit-Learn
  • XGBoost
  • scikit-learn
  • Tensorflow
  • Pytorch
  • SciKit-Learn
  • NLTK
  • Seaborn
  • Matplotlib
  • ggplot
  • NLP
  • Reinforcement Learning
  • Natural Language Processing

Resume Skills: Cloud Computing

  • Hadoop
  • Spark
  • Hive
  • Pig
  • Kafka
  • Elasticsearch
  • Apache Spark
  • Azure
  • AWS
  • Google Cloud
  • Databricks
  • TensorFlow
  • Tableau
  • SAS
  • Apache Hive
  • Apache Hadoop
  • HBase
  • Kibana
  • PyTorch
  • Scikit-learn
  • Keras
  • NumPy
  • Pandas
  • Scikit-Learn
  • XGBoost
  • scikit-learn
  • Tensorflow
  • Pytorch
  • SciKit-Learn
  • NLTK
  • Seaborn
  • Matplotlib
  • ggplot
  • NLP
  • Reinforcement Learning
  • Natural Language Processing
  • Google Cloud Platform
  • IBM Watson
  • Microsoft Azure

Resume Skills: Machine Learning

  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Keras
  • NumPy
  • Pandas
  • Scikit-Learn
  • XGBoost
  • scikit-learn
  • Tensorflow
  • Pytorch
  • SciKit-Learn
  • NLTK
  • Seaborn
  • Matplotlib
  • ggplot
  • NLP
  • Reinforcement Learning
  • Natural Language Processing
  • Natural Language Processing (NLP)
  • Linear & Logistic Regression
  • Support Vector Machines
  • Random Forest
  • Neural Networks
  • Regression
  • Classification
  • Clustering
  • Dimensional Reduction
  • Ensemble Methods
  • SAS
  • Deep Learning
  • Gradient Boosting
  • Decision Trees
  • Supervised / Unsupervised Learning
  • Supervised/Unsupervised Learning
  • Random Forests

Resume Skills: Programming

  • Python
  • R
  • SQL
  • Java
  • C++
  • MATLAB
  • Scala
  • Python (Pandas, Numpy, Scikit-learn)
  • Python (scikit-learn, pandas)
  • Python (scikit-learn, numpy)
  • Julia
  • Python (Pandas, NumPy)
  • Python (pandas, numpy, scikit-learn)
  • Python (scikit-learn, numpy, pandas)
  • JavaScript
  • SPSS
  • Python (TensorFlow, PyTorch)
  • Python (scikit-learn, pandas, numpy)
  • Tableau
  • PowerBI

Resume Skills: Data Visualization

  • Tableau
  • PowerBI
  • ggplot2
  • Matplotlib
  • Seaborn
  • Plotly
  • D3.js
  • GGPlot
  • Power BI
  • Google Analytics

Resume Skills: Software/tools

  • Tableau
  • Power BI
  • MS Excel
  • SAS
  • SPSS
  • Google Analytics
  • PowerBI
  • AWS

Resume Skills: Data Analysis Tools

  • Excel
  • Tableau
  • Power BI
  • Google Analytics
  • MATLAB
  • PowerBI
  • SPSS
  • SAS
  • Microsoft Excel

Resume Skills: Data Analysis

  • Predictive Analysis
  • Statistical Analysis
  • Machine Learning
  • Data Mining
  • Data Visualization
  • Data Modeling

Resume Skills: Databases

  • MySQL
  • MongoDB
  • PostgreSQL
  • Oracle
  • SQLite

Resume Skills: Data Modeling & Evaluation

  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Neural Networks
  • K-Nearest Neighbors
  • Support Vector Machines
  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Data Scientist Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Data Scientist Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Select a free resume example
Your Name
Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded January 2020 - Present
Senior Data Scientist
Led an interdisciplinary team of 5 in the development and implementation of advanced machine learning models, enhancing the accuracy of predictive analytics by 35%
Optimized data science processes using Scikit-learn and Apache Spark, reducing data analysis time by 40%
Implemented a deep learning model that improved the natural language processing capabilities of the company's software, leading to a 50% increase in customer satisfaction
Influenced product development strategy by providing key insights from data analytics, resulting in a 20% increase in revenue
Successfully utilized Tableau and SQL for data visualization, making complex data understandable for stakeholders and enhancing decision making process
Facebook June 2017 - December 2019
Data Scientist
Developed a predictive modeling system that increased the accuracy of targeted advertising by 25%
Created a data mining tool used daily by the data science team, saving approximately 20 hours per week
Implemented artificial intelligence to automate data cleaning and pre-processing, saving more than 10 hours a week
Coached.com January 2015 - May 2017
Junior Data Scientist
Collaborated on the development of big data solutions using Python and R, improving data processing speed by 30%
Supported the development of a statistical model that boosted sales prediction accuracy by 15%
Assisted in the creation of a data visualization dashboard using Tableau that improved data interpretation for stakeholders
EDUCATION
Resume Worded University Dec 2014
Master of Science in Data Analytics
Specialization in Machine Learning and Advanced Statistics
Resume Worded Institute May 2012
Bachelor of Engineering - Computer Science
Minors in Mathematics and Statistics
Awards: Resume Worded Engineering Fellow, Dean's List 2011 (Top 5%)
SKILLS
Programming Languages: Python, R, SQL, Java, C++
Data Analysis Tools: Excel, Tableau, Power BI, Google Analytics, MATLAB
Big Data Technologies: Hadoop, Spark, Hive, Pig, Kafka, Elasticsearch
Machine Learning Libraries: TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, Pandas
OTHER
Certifications: Certified Data Scientist - Data Science Council of America (2020), Certified Big Data Professional - e-Careers Ltd (2017)
Awards: Best Innovative Project in Data Science – Facebook (2018), Rising Star Award – Coached.com (2016)
Publications: Authored ‘Breaking down complex data – simple techniques to master’ – TECHx (2019)
Projects: Built an AI-powered recommendation engine to improve targeting, increasing conversion rates by 22% at Facebook
Your Name
Lead Data Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded February 2020 - Present
Lead Data Analyst
Managed a team of data analysts and directed the successful implementation of machine learning algorithms, increasing data processing efficiency by 40%
Spearheaded the integration of Tableau for data visualization, reducing analysis time and increasing team efficiency by 50%
Collaborated closely with senior management to translate data analysis into actionable business strategies, leading to a 25% increase in annual revenue
Leveraged SQL to manipulate large data sets, reducing data cleaning and pre-processing time by 30%
Designed and implemented a data quality and validation framework, improving data accuracy by 20%
Microsoft August 2017 - January 2020
Senior Data Analyst
Streamlined data analysis processes using Python, improving team productivity by 25%
Developed a predictive modelling tool using R that improved business forecasting accuracy by 20%
Created a customized dashboard using Tableau, enhancing data presentation and decision-making process for the team
Coached.com March 2015 - July 2017
Data Analyst
Utilized SQL for data manipulation and preparation, reducing data cleaning time by 10%
Participated in a project that improved big data processing speed by 20% using Apache Spark
Assisted in the creation of a data mining system that supported market segmentation, improving target marketing by 15%
EDUCATION
Resume Worded University February 2020
Master of Science - Data Science
Focused thesis on Predictive Analysis and advanced Machine Learning techniques
Resume Worded Institute July 2015
Bachelor of Computer Engineering
Minors in Mathematics and Statistics
Awards: Academic Excellence Award (2014), Member of Institute Programming League (2013-2015)
SKILLS
Data Analysis: Predictive Analysis, Statistical Analysis, Machine Learning, Data Mining, Data Visualization, Data Modeling
Programming Languages: Python (Expert), SQL (Expert), R (Intermediate), Java (Intermediate)
Software & Tools: Tableau, Power BI, MS Excel, SAS, SPSS, Google Analytics
Cloud & Big Data : Azure, AWS, Hadoop, Spark, Hive
OTHER
Certifications: Microsoft Certified: Data Analyst Associate (2019), Google Analytics Individual Qualification (2018)
Projects: Developed an automated reporting tool using Python that increased efficiency by 35%
Skills Enhancement: Member of Kaggle (Data Science Community) - Participated in several Data Science competitions
Volunteering: Mentor to emerging data analysts in STEM program, The Data Institute (2018 - Present)
Your Name
Machine Learning Engineer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded March 2020 - Present
Senior Machine Learning Engineer
Led the development of machine learning models using TensorFlow and Python, improving the accuracy and speed of data processing by 35%
Applied deep learning for image processing, generating a 30% increase in model efficiency for visual data
Implemented Scikit-learn to optimize model training, reducing time consumption by 40%
Collaborated with data scientists in applying predictive analytics, driving a 15% increase in operational efficiency
Pioneered the use of Natural Language Processing (NLP), enhancing the company’s text classification performance by 20%
Google July 2017 - February 2020
Machine Learning Engineer
Developed and implemented an anomaly detection system using machine learning, reducing system errors by 15%
Utilized Python and R to automate data cleaning and processing, reducing time spent on data pre-processing by 30%
Created a predictive modeling algorithm using AI techniques, improving prediction accuracy by 20%
Coached.com April 2015 - June 2017
Junior Machine Learning Engineer
Participated in the development of a data mining system, resulting in a 10% gain in marketing strategy efficiency
Utilized TensorFlow to assist in the creation of machine learning models, increasing the accuracy of predictive analytics by 15%
Assisted in the development of a chatbot employing Natural Language Processing (NLP), improving customer service response time by 20%
EDUCATION
Resume Worded Institute March 2020
Postgraduate Certificate in Artificial Intelligence
Concentration in Machine Learning Technologies
Resume Worded University December 2014
Master of Science in Computer Science
Specialization in Data Science and Machine Learning
Awards: Graduate Research Fellowship
SKILLS
Programming Languages: Python, R, Java, C++, SQL, MATLAB
Machine Learning Frameworks & Libraries: Tensorflow, Pytorch, Keras, SciKit-Learn, NLTK, Seaborn
Big Data Tools: Apache Hadoop, Spark, Kafka
Cloud Platforms: AWS (Expert), Google Cloud Platform (Proficient), Azure (Proficient)
OTHER
Certificates: Certified Data Scientist - IBM (2023), AWS Certified Machine Learning - Specialty (2021)
Projects: Automated Image Analysis for Disease Detection - Utilized TensorFlow and Keras to build a Convolutional Neural Network
Publications: Authored 'Applications of AI in Agriculture' - Published in Journal of Computer Science & Applications (2020)
Leadership & Volunteering: MLH Localhost (Workshop Facilitator), Code For Cause (Volunteer Developer)
Your Name
Chief Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded January 2022 - Present
Chief Data Scientist
Championed the deployment of an advanced machine learning model that increased the prediction accuracy of customer behaviour by 25%
Conceived and executed a data mining strategy that unearthed hidden insights resulting in a 20% increase in business efficiency
Spearheaded the integration of Artificial Intelligence (AI) features into existing software, boosting product performance by 30%
Leveraged Big Data to refine algorithms, reducing processing time by 15%
Led a cross-functional team in implementing a predictive analytics system, resulting in a 50% increase in sales forecast accuracy
Coached.com August 2018 - December 2021
Senior Data Scientist
Initiated and executed a Python-based deep learning model that improved system functionality by 20%
Formalized a statistical modeling strategy, resulting in a 18% reduction in operational redundancies
Developed a data science model using Apache Spark to process real-time data, enhancing delivery speed by 27%
IBM March 2016 - July 2018
Data Scientist
Implemented an SQL-based system for database management, improving data efficiency by 35%
Achieved a 20% improvement in the quality of predictive modeling using R programming for data analysis and visualization
Augmented system proficiency by integrating TensorFlow into the existing software development method
EDUCATION
Resume Worded University 2016 - 2018
Master of Business Administration - Data Management and Analytics
Selected for merit-based Resume Worded Graduate Assistantship
Resume Worded Institute 2012 - 2016
Bachelor of Engineering - Computer Science
Specialized Courses in Data Structures, Algorithim Design and Machine Learning
Final year project on Predictive Modeling using Python
SKILLS
Programming: Python, R, C++, Java, MATLAB, SQL
Data Science Tools: TensorFlow, PyTorch, scikit-learn, Pandas, SPSS
Big Data: Hadoop, Spark, Hive, Pig, MongoDB, Cassandra
Cloud Computing: AWS, GCP, Azure, Docker, Kubernetes
OTHER
Certifications: Certified Data Scientist - IBM (2017), Google Cloud Certified - Professional Data Engineer (2020)
Awards: Recognized by Coached.com on 'Data Science Innovation Ideas' and awarded as Best Innovation idea (2020)
Publications: Published Research Paper on 'Ways to optimize Predictive Algorithms' in Journal of Data Science (2018)
Leadership & Volunteering: Volunteer Data Analyst for Non-Profit Resume Worded Foundation (2016 - 2018)
Your Name
Principal Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded June 2022 - Present
Principal Data Scientist
Piloted an innovative Natural Language Processing (NLP) model that boosted system learning capacity by 40%
Launched a comprehensive data analytics strategy, reducing overall business risk by 30%
Integrated deep learning principles into data mining techniques, enhancing data extraction speed by 50%
Leveraged Artificial Intelligence (AI) technology in enhancing software development process, resulting in a 22% increase in product efficiency
Established a big data handling framework that boosted data management efficiency by 27%
Coached.com February 2019 - May 2022
Senior Data Scientist
Executed a Python-based data cleaning and processing system, improving data quality by 28%
Implemented a predictive modeling method using R, resulting in a 15% increase in forecast accuracy
Designed a statistical modeling algorithm using Apache Spark, boosting processing speed by 33%
Google January 2017 - January 2019
Data Scientist
Developed a TensorFlow-based machine learning model, enhancing system effectiveness by 20%
Established an SQL framework for effective data management, improving efficiency by 30%
Incorporated AI technology into existing software, improving performance by 17%
EDUCATION
Resume Worded University June 2016
Master's Degree in Data Analytics
Specialized coursework in Big Data and Machine Learning
Resume Worded Institute May 2014
Bachelor of Engineering - Computer Science
Minor in Mathematical Statistics
Undergraduate Research Assistant in Data Privacy
SKILLS
Programming: Python (scikit-learn, pandas, numpy), SQL, Java, C#, R
Big Data: Apache Hadoop, Spark, Hive, Pig, Google BigQuery
Machine Learning: TensorFlow, PyTorch, Keras, XGBoost, LightGBM
Data Visualization: Tableau, D3.js, ggplot2, Matplotlib, Seaborn
OTHER
Certifications: Certified Data Scientist - IBM (2023), Google Professional Data Engineer (2021)
Awards: Distinguished Data Scientist Award - Coached.com (2020), Google Innovator Award (2018)
Leadership & Volunteering: Team Lead - Data For Good Initiative (Coached.com, 2019-2022), Mentor - Data Science for All Program (Google, 2018-2019)
Projects: Developed a predictive model for churn rate (Google, 2017), Led the team to build predictive models for digital marketing (Coached, 2020)
Your Name
Head of Data Science
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded March 2023 - Present
Head of Data Science
Steered the adoption of advanced data science methodologies, resulting in a 40% increase in overall team productivity
Drove the use of predictive analytics for business decision-making, enhancing accuracy by 30%
Introduced machine learning principles in the software development process, boosting performance efficiency by 20%
Initiated a Hadoop-based big data strategy that improved data management efficiency by 33%
Orchestrated the integration of Apache Spark in the data processing pipeline, decreasing operations time by 25%
Coached.com June 2019 - February 2023
Senior Data Scientist
Pioneered the application of Python and R programming in data analysis, resulting in a 20% improvement in insights accuracy
Implemented a Deep Learning-based predictive modeling solution, boosting forecast precision by 25%
Initiated an Artificial Intelligence(AI) powered customer behavior analysis system, improving sales conversion by 18%
Amazon October 2016 - May 2019
Data Scientist
Integrated TensorFlow into the software development cycle, resulting in a 22% increase in performance
Developed a SQL-based system for efficient database management, decreasing handling times by 15%
Implemented an NLP-based solution for customer feedback analysis, increasing customer satisfaction by 30%
EDUCATION
Resume Worded Institute February 2023
Advanced Certification in Data Analysis
Intensive program covering machine learning algorithms and big data management
Resume Worded University May 2016
Master of Science in Data Science
Specialized in AI and Machine Learning
Awards: Dean's List 2014 (Top 10%)
SKILLS
Programming and Data Analysis Tools: Python, R, MATLAB, SQL, Jupyter Notebook, RapidMiner, PowerBI
Big Data Technologies: Hadoop, MapReduce, Hive, Pig, Spark, NoSQL
Machine Learning Techniques: Linear and Logistic Regression, Decision Trees, SVM, Neural Networks, Deep Learning
Data Visualization Tools: Tableau, ggplot, d3.js, Seaborn
OTHER
Certifications: Certified Data Science Professional, Data Science Council of America (2022)
Leadership & Volunteering: Mentor, Data Science for All, Empowerment (2021 - Present)
Publications: Author, 'The role of AI in Modern Business', Harvard Business Review (2020)
Conferences & Talks: Key Speaker, Big Data LDN Conference (2021), Data Science Salon, Miami (2020)
Your Name
Director Data Science
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded January 2019 - Present
Senior Data Scientist
Ignited company-wide shift towards data-driven decisions, leading a cross-functional team of data scientists, and helped increase revenue by $2M
Devised a proprietary predictive analytics model with Python to forecast product revenue with an accuracy rate of 92%
Implemented innovative Deep Learning models, resulting in a 30% increase in customer retention and a 25% increase in sales
Presented complex data findings in digestible formats through data visualization tools, increasing company-wide data literacy by 45%
Managed AWS data storage solutions, boosting data retrieval efficiency by over 50%
Coached.com December 2016 - December 2018
Data Scientist
Impacted corporate strategic planning through Statistical Modeling, achieving 20% reduction in operational costs
Built robust Big Data system with Hadoop, thus reducing processing time by 75%
Skillfully utilized R to redesign algorithms, tripling the speed and efficiency of data processing
Implemented Natural Language Processing (NLP) systems to parse and analyze customer feedback, resulting in 15% increase in customer satisfaction rating
Microsoft May 2014 - November 2016
Data Analyst
Expanded data mining processes and techniques leading to a 10% increase in dataset usability
Used SQL for data extraction, leading to more streamlined data analysis and reports
Consolidated and managed large data sets using Apache Spark, achieving optimal data partitioning and efficient storage
EDUCATION
Resume Worded University December 2016
Master of Science - Data Science
Specialized in Natural Language Processing and Computer Vision
Resume Worded Institute May 2014
Bachelor of Technology - Computer Engineering
Focus on data structures and algorithms
Minors in Mathematics and Machine Learning
SKILLS
Programming Languages: Python (Pandas, Numpy, Matplotlib), SQL, R, Java, C++
Machine Learning Libraries: TensorFlow, PyTorch, scikit-learn, NLTK, OpenCV
Big Data Tools: Hadoop, Spark, Hive, PIG, Kafka
Cloud Technologies: AWS (S3, EC2, EMR, RDS), Google Cloud, Microsoft Azure
OTHER
Certifications: Google Cloud Certified - Professional Data Engineer (2020), Certified Data Science Professional (CDSP) (2018)
Leadership & Volunteering: Head Organizer - Microsoft Datathon (2016), Volunteer Teacher - Code.org
Conferences: Speaker on 'Predictive Models in Healthcare' at DatSci Conference (2021)
Courses: Deep Learning Specialization - Coursera, Advanced SQL: MySQL Data Analysis & Business Intelligence - Udemy
Your Name
Senior Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded January 2017 - Present
Data Scientist
Mastered the use of machine learning algorithms to develop a fraud detection system, reducing security incidences by 40%
Applied predictive modeling to enhance marketing campaigns, driving a 25% increase in lead generation
Developed a company-wide data visualization dashboard using D3.js, which enhanced understanding of key metrics by 35%
Leveraged Python to develop scalable data pipelines, increasing data accuracy by 15%
Implemented Big Data systems using Apache Spark, thus reducing data processing time by 45%
Coached.com July 2014 - December 2016
Junior Data Scientist
Automated data mining processes using Python, thereby increasing efficiencies by 20%
Maximized statistical modeling techniques to improve prediction accuracy by 30%
Built an automated data scraping system, enhancing data pool quality and volume by 50%
IBM May 2012 - June 2014
Data Analyst
Effectively used SQL to manage databases, optimizing data retrieval process by 15%
Delivered accurate and timely reports, leveraging advanced analytics tools, reducing delays by 25%
EDUCATION
Resume Worded University May 2016
Doctorate in Advanced Data Analytics
Specialized in Machine Learning and AI Strategies
Resume Worded Institute July 2012
Master in Statistics and Data Science
Emphasis on Quantitative Data Analysis and Predictive Modeling
Graduated with High Distinction
SKILLS
Data Analysis: Python, R, SQL, MATLAB, SAS, SPSS
Machine Learning: TensorFlow, Keras, Scikit-learn, PyTorch, Spark MLLib
Big Data: Hadoop, Spark, Hive, Pig, Kafka
Data Visualization: Tableau, PowerBI, ggplot2, D3.js, Seaborn
OTHER
Certifications: Microsoft Certified: Azure Data Scientist Associate, Google Cloud Certified - Professional Data Engineer
Projects: Developed and deployed a predictive model for e-commerce sales forecasting with a 90% accuracy rate
Awards: Data Science Excellence Award, Resume Worded, 2019
Volunteering: Established a free weekend coding boot camp for underprivileged kids
Your Name
Data Science Manager
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded September 2016 - Present
Senior Data Scientist
Directed the deployment of machine learning models into production, increasing efficiency by 35%
Orchestrated successful transition to Amazon Web Services (AWS) for data management and storage, resulting in a 20% cost-saving
Led a team to engineer Big Data solutions using Hadoop, improving data processing speed by 30%
Focused on using Python for advanced predictive modeling, increasing forecast accuracy by 25%
Facilitated data-driven decision making through implementation of robust analytics, promoting a 30% increase in operational efficiency
Coached.com August 2013 - August 2016
Data Scientist
Elevated company’s data visualization standards using Tableau, leading to a 40% improvement in data comprehension
Created efficient R scripts to analyze large datasets, minimizing processing time by 25%
Developed and implemented a system to automate data extraction using SQL, resulting in a 15% increase in productivity
Google June 2011 - July 2013
Data Analyst
Designed sophisticated algorithms to optimize data management, improving operating speed by 15%
Used analytics to identify key business metrics, leading to a 10% increase in strategic decision making
EDUCATION
Resume Worded Academic Center May 2013
Master of Science in Data Science
Concentration in Machine Learning and AI
Resume Worded University May 2011
Bachelor of Science in Computer Science
Minor in Statistical Analysis
Awards: Dean's List 2009-2011 (Top 5%)
SKILLS
Programming Languages: Python, Java, R, SQL, Julia, Scala
Big Data Tools: Hadoop, Spark, Hive, Pig, MapReduce
Machine Learning Libraries: TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost
Data Visualization Tools: Tableau, D3.js, PowerBI, Matplotlib
OTHER
Certifications: Certified Data Scientist, IBM (2016), AWS Certified Big Data Specialist (2018)
Projects: Developed a predictive model for XYZ Co., improving efficiency by 25%
Awards: Winner, Data Science Global Impact Challenge, 2019
Volunteering: Mentor, Girls Who Code, 2014-Present
Your Name
Geographic Information Systems Technician
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Esri June 2019 - Present
Senior Geographic Information Systems Technician
Spearheaded the migration of spatial databases to an ESRI enterprise platform, enhancing data accessibility for the team by 75%
Supervised the inventory of geospatial data using ArcCatalog ensuring data integrity and significantly reducing data redundancy by 40%
Utilized Python for automating processes in ArcMap, minimizing manual intervention and saving over 20 hours every week
Administered the creation of spatial and attribute queries for internal and external clients, improving efficiency by 30% in project execution
Facilitated training for team members on utilizing ArcGIS products, resulting in a 50% increase in team productivity and capability
Coached.com January 2016 - June 2019
Geographic Information Systems Technician
Executed spatial analysis using ArcMap to aid the decision-making process of management, influencing strategic decisions favorably
Enhanced the existing cartographical methods through implementation of Quantum GIS, increasing the map accuracy by 35%
Pioneered the adoption of ERDAS Imagine for remote sensing, resulting in improved environmental assessments and reports accuracy by 28%
Resume Worded December 2012 - December 2015
Junior Geographic Information Systems Technician
Collated and managed geospatial data using Geodatabases, assisting in efficient map creation
Contributed to the development of digitized maps using AutoCAD, increasing the map output by 20%
EDUCATION
Resume Worded University December 2018
Master of Science - Geographic Information Systems (GIS)
Graduated summa cum laude, top 5% of class
Resume Worded Academic Center October 2012
Certified GIS Professional (GISP)
Completed comprehensive GIS training, including MapInfo, QGIS, ArcGIS Pro
The certification is recognized globally for meeting international standards in geospatial, technology, interoperability, and institutional development
SKILLS
GIS Software: ESRI ArcGIS Suite, Mapinfo, QGIS, AutoCAD, GRASS GIS, Erdas Imagine
Programming Languages: Python (Advanced), SQL (Intermediate), JavaScript (Intermediate)
GIS Techniques: Remote Sensing, Geospatial Analysis, Geodatabase Management, Spatial Statistics, Cartographic Design
Data Management Tools: Excel (Advanced), Access (Intermediate), PowerBi (Beginner), Tableau (Beginner)
OTHER
Certifications: Advanced Python for GIS and Remote Sensing Certification, UDEM (2019), Tableau Certified Data Analyst (2020)
Professional Associations: Member, American Association of Geographers; Member, Urban and Regional Information Systems Association (URISA)
Projects: Developed an interactive web map for a local municipal government for better infrastructure planning, reducing costs by 15%.
Publications: Co-author, 'Utilizing GIS for Effective and Efficient Urban Planning', published in the International Journal of Geospatial Engineering (2018)
Your Name
Geographic Information Systems Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Google Earth July 2018 - Present
Senior Geographic Information Systems Analyst
Established a new workflow using advanced Python scripting, boosting data processing speed by 25%
Developed and maintained the spatial databases using ESRI's ArcGIS software, improving data integrity and consistency by 35%
Administered training sessions on the application of Google Earth's spatial analysis tools, advancing overall team capability by 45%
Improved the efficiency of data sharing by leveraging GIS technology, accelerating project delivery timeline by 15%
Forefronted the analysis of GPS data using Trimble GPS, enhancing the accuracy of map positioning by 20%
Coached.com July 2015 - July 2018
Geographic Information Systems Analyst
Performed extensive data collection and analysis using state-of-the-art GPS technology, contributing to a 15% increase in data accuracy
Played an integral role in the development of customized maps using ArcMap, increasing user-friendliness and accessibility by 30%
Promoted the use of Quantum GIS for spatial database management, streamlining GIS operations and increasing efficiency by 40%
Resume Worded June 2012 - July 2015
Junior Geographic Information Systems Analyst
Aided the creation of thematic maps using ArcMap and AutoCAD software, speeding up production by 20%
Maintained a database of GIS data using ArcCatalog, providing accurate and updated information for project completion
EDUCATION
SKILLS
GIS Softwares: ArcGIS, QGIS, SAGA GIS, GeoDa, GRASS, UDIG, MapWindow, GeoServer
Programming: Python (Advanced), SQL (Proficient), JavaScript (Proficient)
Geo-Spatial Data Management: Raster Data, Vector Data, Network Analysis, Geo-Processing
Data Visualization: Tableau, Power BI, Google Data Studio, MS Excel Advanced Charting
OTHER
Certifications: Esri Technical Certification - ArcGIS Desktop Professional (2019), Certified GEOINT Professional–GIS & Analysis Tools (2018)
Leadership & Volunteering: Community Mapathon Organizer (Hosted 6 events to map underserved locations globally)
Publications: Published article in Geo-info Magazine “The Changing Landscape of Geospatial Analysis”
Professional Affiliations: Member of Geospatial Information & Technology Association (GITA), American Association of Geographers (AAG)
Your Name
Geographic Information Systems Specialist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
GE SmallWorld May 2020 - Present
Senior Geographic Information Systems Specialist
Led the initiative of integrating Python scripts into ArcGIS workflows, enhancing operational efficiency by 30%
Innovated data visualization methods using ArcMap, enhancing stakeholders' understanding and decision-making process
Implemented spatial analysis using Geodatabases, increasing data accessibility by 50% and accelerating the project delivery by 15%
Overhauled the GPS data collection process using Trimble GPS, improving field data accuracy by 40%
Championed the integration of GE Small World for spatial database management, resulting in improved data consistency and robustness by 20%
Coached.com June 2017 - May 2020
Geographic Information Systems Specialist
Utilized ESRI software for effective data management, improving database integrity by 60%
Incorporated Quantum GIS in the various GIS procedures, increasing operational efficiency by 35%
Employed ERDAS Imagine for remote sensing, enabling accurate environmental modeling and assessments
Resume Worded April 2013 - June 2017
Junior Geographic Information Systems Specialist
Assisted in the preparation of detailed maps using ArcMap and AutoCAD software, contributing to accuracy improvements of 15%
Managed GIS data using ArcCatalog significantly improving data availability for map creation
EDUCATION
SKILLS
GIS Software: ArcGIS, QGIS, Grass GIS, GE SmallWorld, Google Earth Pro, ENVI
Programming: Python (Geopandas, Shapely, Fiona), SQL, Java, JavaScript
Spatial Analysis Tools: ERDAS Imagine, MapInfo, Microsoft Power Map, Mapbox
Miscellaneous: GPS, Remote Sensing, Aerial Photography, Photogrammetry, LiDAR
OTHER
Certifications: Esri Technical Certification: ArcGIS Desktop Developer Associate, Google Maps Certification
Leadership & Volunteering: GIS Corps Volunteer, Crisis Mapping for Disaster Relief
Continued Learning: GeoPython Conference Attendee 2020, Esri User Conference Attendee 2019
Projects: Built a web-based ArcGIS application for neighborhood-level demographic analysis

How do I add skills to a Data Scientist resume?

1
Review the job posting closely.

Go through the Data Scientist posting you're applying to, and identify hard skills the company is looking for. For example, skills like Data Science, Tableau and Deep Learning are possible skills. These are skills you should try to include on your resume.

2
Add industry skills like Python (Programming Language) and R (Programming Language).

Add other common skills from your industry - such as Machine Learning, Natural Language Processing (NLP) and SQL - into your resume if they're relevant.

3
Add skills into your work experience.

Incorporate skills - like Statistical Modeling, Artificial Intelligence (AI) and Big Data - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

4
Show your ability to analyze data.

In your Data Scientist resume, show evidence of where you worked with and analyzed data of all formats, whether they're surveys, spreadsheets or databases. We've highlighted examples in the infographic for reference.

5
Highlight data science skill sets.

Dealing with large data sets, cleaning them and uncovering business insights are important skill sets for a Data Scientist.

6
Use the exact job title.

Try to add the exact job title, Data Scientist, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Data Scientist Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Data Scientist job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Data Scientist Skills and Keywords to Include On Your Resume

Resume Skills and Keywords from Related Jobs

We also found variations and further specializations to your job title. Browse through the related job titles to find additional keywords that you can include into your resume.

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Data Scientist Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Entry Level Data Analyst


Resume Example
Senior Data Analyst


Resume Example
Marketing Data Analyst


Resume Example
Financial Data Analyst


Resume Example
Senior Data Engineer


Resume Example
Big Data Engineer


Browse Skills from Similar Jobs

Frequently Asked Questions

What skills do hiring managers want to see on a Data Scientist resume?

Here are some of the most popular skills we see on Data Scientist resumes:

  • Machine Learning
  • R (Programming Language)
  • Data Science
  • Python (Programming Language)
  • Deep Learning
  • Natural Language Processing (NLP)
  • Tableau
  • SQL

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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