Junior Data Scientist Resume Sample

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Sabina Gibson
5314 Stamm Isle,  Philadelphia,  PA
+1 (555) 463 6125

Work Experience


Junior Data Scientist, Marketing
09/2016 - PRESENT
Chicago, IL
  • Develop and maintain our Python platform codebase for LegalZoom using Python scientific packages such as Numpy, Pandas, Keras, Theano, Tensorflow, PyMC3
  • Refactor current predictive models, and extract commonly used functions into a reusable set of packages and libraries
  • Manage the codebase using Github
  • Manage the environment using Anaconda
  • Help enforce software best practices, and work with others to deploy new models to our production servers
  • Work with the business to apply scientific methods and to evolve data science solutions
  • Support and extend existing predictive models for customer LTV, marketing forecast, subscription retention, micro-segmentation, etc
Junior Data Scientist Finance
02/2014 - 06/2016
Los Angeles, CA
  • Apply agile approaches for proof-of-concept requirements. Using iterative methods to help drive and refine information requirements, mockups, and prototyping
  • Knowledge of statistical analysis methodologies and experimental design and a willingness to learn more complex methods
  • Good oral and written communication skills. Able to work effectively with personnel with different functional background
  • Exposure to SQL and databases
  • Work with an interdisciplinary team and drive projects to completion
  • Strong skills in data manipulation, cleaning and exploratory analysis. Able to make logical conclusions about complex data that help properly format it for statistical analysis
  • Digital and Smart Analytics Consulting
Junior Data Scientist
05/2010 - 11/2013
New York, NY
  • Experience using nix systems, open source software and libraries
  • Analyze on system or data processes, data structures, analytical methods, and applying key techniques of data sciences (machine learning, data mining, analysis) to build high quality predictive systems
  • Visualization of complex data and analytical result using modern data visualization tool
  • Self dependent execution and managing of analytical and data projects
  • Identify hidden pattern or systematic risks using qualitative and quantitative data analysis
  • Develop solution allowing highly effective presentation and engaging visualization for decision making
  • Work with the data scientists to develop a Python codebase for predictive and prescriptive modeling, along with the development of other data science capabilities
  • Develop data solutions using multiple sources, such as SQL, Google Analytics, and other platform API’s

Education


Lawrence University
2005 - 2009
Science's Degree in Statistics

Professional Skills


  • Excellent time management skills, with the ability to prioritize and multitask, and work under shifting deadlines in a fast-paced environment
  • Strong analytical skills and experience in data interpretation
  • Strong interpersonal skills; demonstrated ability to learn quickly
  • Good programming skills and/or experience in scripting languages (Python, R, Java)
  • Good multi-tasking skills and ability to manage varying priorities
  • Demonstrated problem solving and analytical reasoning skills
  • Proven project management skills with the ability to meet established deadlines

How to write Junior Data Scientist Resume

Junior Data Scientist role is responsible for programming, analytical, technical, analysis, languages, analytics, research, business, software, advanced.
To write great resume for junior data scientist job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Junior Data Scientist Resume

The section contact information is important in your junior 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
  • Email
  • Telephone number

Work Experience in Your Junior Data Scientist Resume

The section work experience is an essential part of your junior 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 junior 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 junior data scientist position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Junior Data Scientist resume experience can include:

  • Exercise independent judgment while effectively prioritizing and executing tasks while under deadlines
  • Good quantitative skills, ideally including knowledge of econometric or statistical analysis, R, Python, SQL and any other programmes
  • Programming or scripting skills for data science (e.g., python, Scala)
  • Programming skills such as SQL, C++, Matlab, Python, R
  • Doing ad-hoc analysis and presenting results in a clear manner with typical skills in powerpoint and presentations
  • Programming skills in various languages (C++, Scala, Java, R) with proficiency in Python and/or C++

Education on a Junior Data Scientist Resume

Make sure to make education a priority on your junior 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 junior 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 Junior Data Scientist Resume

When listing skills on your junior 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 junior data scientist skills:

  • Exceptional communication skills and an ability to effectively discuss and present technical information to analytics, engineers, and business users
  • Strong data extraction and processing skills, including web scraping
  • Solid programming and problem solving skills
  • Very good written and spoken English and German or willingness to acquire appropriate language skills
  • Experience in data analytics and advanced analytical skills
  • Demonstrated oral & written communication and presentation skills

List of Typical Experience For a Junior Data Scientist Resume

1

Experience For Junior Data Scientist, Marketing Resume

  • Strong communication skills: ability to succinctly explain data insights
  • Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions
  • Experienced in analyzing complex datasets and building mathematical models; experience in practically applying them would be an advantage
  • Experience designing and implementing Machine Learning models
  • Experience designing reports and dashboards in BI tools such as Tableau, Spotfire, and QlikView, becoming our SME of dashboard design
  • Expertise in Statistics and validation of statistics and the development of forecasting models to include time series and curve fitting
2

Experience For Ambitious Junior Data Scientist Resume

  • Experience utilizing cloud-based computing platforms such as Google Cloud Service or Amazon Web Services
  • Experience using machine learning tools and algorithms
  • Experience with multinomial classification, anomaly detection, deep learning, or the sequential implementation of clustering and classification
  • Experience with geographic modeling or processing of geo-data
  • ) Good understanding of JavaScript and being able to make calls to R or RShiney
  • Experience with predictive modeling for the purpose of identifying data anomalies
  • Work experience in the use of data management, analysis in finance and decision making
  • Experience with Machine / Deep Learning software packages & libraries
  • Experience working in a startup environment with a lean product development process through rapid iteration
3

Experience For Junior Data Scientist Finance Resume

  • Experience working closely with developers and designers throughout the product development process
  • Experience collaborating with local and remote teams
  • Perform analyses, design, coding, model development and validation in support of business requirements
  • Good understanding of quantitative methods and extreme attention to detail
  • Experience with data munging tasks in structured and unstructured formats
  • Experience coding with R, Python, Spark and SQL languages
  • Technical experience regarding data models, database design development, and segmentation techniques
  • Experience in data science or marketing analytics role
4

Experience For Data Analyst Junior Data Scientist Resume

  • Some experience with NoSQL databases and data engineering
  • Communicate predictions and finding to management through effective data visualization and reports
  • Experience working with Hadoop (HDFS, Spark, Impala, Hive)
  • Experience with A/B testing environment
  • Experience with cloud computing and Hadoop (MapReduce, PIG, HIVE)
  • Provide an analytics perspective to discussions and helping to drive the priorities within your team
5

Experience For Cfsc-junior Data Scientist Resume

  • Experience with Java, Scala, Spark Streaming, Spark MLlib
  • Strong self-motivation, passion for problem solving with data, and ability to work independently
  • Demonstrated Machine learning techniques for
  • Implement data hygiene (e.g., validation) that optimizes statistical efficiency and data quality/accuracy
  • Professional experience in analytics
  • Real world or research experience in data science
  • Experience with Big Data technologies such as Hadoop, Cassandra etc
  • Experience in model development and life-cycle-management in one or more industry/application domain
  • Utilize effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept
6

Experience For Network Junior Data Scientist Resume

  • Take part in training courses to increase skill set and technical capabilities in order to better serve the needs of the business
  • Identifying/developing machine learning/data mining/text mining processes to drive data enhancements in the Experian BIS Commercial Repository
  • Applying, modifying and creating algorithms to solve challenging business problems
  • Taking part in the assessment of the output of analytical solution and drawing conclusions, identification of options, and making recommendations
  • Understanding of Machine Learning, e.g.: linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc
  • Engaging and motivating team player who fosters an enjoyable working environment
7

Experience For Social Networking Junior Data Scientist Resume

  • Developing and testing predictive health monitoring algorithms for IT OP
  • Documenting and presenting model process and model performance
  • Drawing key insights to drive critical decision making
  • Interpreting the results and suggesting the advices to the business stakeholders
  • Building and maintaining of knowledge on the data sources, the data quality and metadata
  • Staying in touch with modern methodology within predictive modelling
  • Reporting & Visualization: Surface data via custom reporting dashboards, interactive D3.js visualizations, and third party platforms
8

Experience For Junior Data Scientist Resume

  • Enhancing data collection procedures to include information that is relevant for building analytical systems
  • Working with team and developers to improve data visualisation & reporting
  • Developing proprietary algorithms and assets for clients
  • Creating high quality data driven presentations
  • Understanding of modern SQL
  • Understanding of where analytics can create value in a business context
  • Working with teams to create automated anomaly detection systems and track performance of internal initiatives
9

Experience For Junior Data Scientist, Marketing Resume

  • Coding ability in Python is essential
  • Understanding of (Re-) insurance and/or financial services information needs
  • Understanding of the business context of the decisions to be supported at the level appropriate for junior position
  • Being the part of the discussions on selection the appropriate mathematical approach
  • Using of R to design and develop analytical models for advanced techniques such as forecasts, simulations, and optimizations
10

Experience For Ambitious Junior Data Scientist Resume

  • Supporting as a team member the communication & collaboration with diverse stakeholders
  • Processing and cleaning data (munging/wrangling)
  • Mining and analyzing data sets to extract meaningful trends, producing meaningful and actionable reports
  • Prototyping machine learning algorithms for LINE TH services
  • Evaluating performance of NLP systems against metrics like precision, recall etc
  • Understanding of software development principles, such as version control, testing, deployment
  • Challenging and individualised career paths
  • Basic understanding of Machine Learning (Supervised Learning and Unsupervised Learning)
  • Identify/develop appropriate machine learning/data mining/text mining techniques

List of Typical Skills For a Junior Data Scientist Resume

1

Skills For Junior Data Scientist, Marketing Resume

  • Strong Python/Pandas skills
  • Good communication and collaboration skills, with both technical and non-technical counterparts
  • Experience with applied data science techniques such as data cleaning, data pipelining, machine learning, and model validation
  • Proven experiences in developing and deploying Machine Learning algorithms
  • Solid background in programming, good knowledge of operating system
2

Skills For Ambitious Junior Data Scientist Resume

  • Advanced skills in Machine learning programming / analytics (preferably R or Python), with a clear commitment to quality and accuracy
  • Experience with progressing and prioritizing multiple projects simultaneously
  • General software development skills (source code management, debugging, testing, deployment, etc.)
  • Demonstrated experience in marketing analytics, advertising or digital media
  • Self-management skills for balancing the organisation of one’s work, efficient delivery of quality service to stakeholders, and professional development
3

Skills For Junior Data Scientist Finance Resume

  • Proactive self-starter with outstanding personal productivity skills
  • Broad communication and interpersonal skills, including the ability to make high-level presentations for senior executives
  • Experience in SQL/T-SQL database maintenance and queries and procedural programming experience
  • Source Code Management skills using tools such as Clearcase, Endevor, Atlassian Bitbucket, GitHub
  • Good SQL experience to extract and manage data from SQL Server
  • Prior experience in a Data Science role
  • Experience / Strong Knowledge of Regression/Linear Analysis
4

Skills For Data Analyst Junior Data Scientist Resume

  • Consultative communication skillset
  • Strong experience in Python, R, or Julia in a Linux environment
  • Knowledge and skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow and Spark, etc
  • Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs
  • Statistics and data manipulation/interpretation skills
5

Skills For Cfsc-junior Data Scientist Resume

  • Programming experience in one or more of the languages like R/Python/Ruby/Perl/Shell/C/Java
  • Communication: Designing good ways of communicating, visualising or reporting your results/analysis so they are clear and unambiguous
  • Experience in data mining, machine learning, statistical modeling tools and underlying algorithms
  • Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
  • Some experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms
  • Experience programming in Python and/or R; particularly relevant are projects that focused on web crawling and data wrangling
6

Skills For Network Junior Data Scientist Resume

  • Experience with solving real-world problems using machine learning techniques
  • Working experience in analytics, data mining, and/or predictive modeling
  • Hands-on experience doing quantitative analysis/modeling, technical/coding work are welcomed
  • Enthusiasm and experience manipulating and cleaning large data sets
  • Experience/knowledge in probability, statistics, machine learning, natural language processing
  • Experience with multinomial classification, anomaly detection, deep learning, pattern-matching, or sequential classification
  • Hands on experience with data mining, text mining, its concepts, techniques and implementation
  • Experience manipulating data sets and building statistical model
  •  Experience in managing and manipulating large, complex datasets
7

Skills For Social Networking Junior Data Scientist Resume

  • Experience with probabilistic programming using PyMC or PyMC3
  • Experience implementing data science solutions using professional software tools and practices
  • Experience using machine learning tools and algorithms
  • Experience with modeling and quantitative analysis using standard statistical software such as R or SAS
  • Demonstrated Data Mining, Machine Learning (algorithms, theories, principles and practices)
  • Proven track record in modifying and applying advanced algorithms to address practical problems
  • Experience in deep learning / machine learning / data science development projects with a focus on innovation
8

Skills For Junior Data Scientist Resume

  • Experience using machine learning tools and algorithms
  • Proficiency in Python and strong understanding of machine learning are required
  • Experience/knowledge in data-mining languages/tools e.g. Python, R, SAS, Stata, SPSS, Excel
  • Work on exciting, impactful and highly visible projects in a global organisation where advanced analytics is a strategic priority
  • Experience with programming languages such as R/Java/Python
9

Skills For Junior Data Scientist, Marketing Resume

  • Experience with digital data such as display advertising, web analytics, e-commerce or social data
  • Experience managing projects with Github and Anaconda
  • Experience collaborating with subject matter experts in the life sciences
  • Experience with machine learning toolkits such as SciKit
  • Experience working collaboratively on code-based projects
  • Experience developing complex SQL statements
  • Solid knowledge of Bayesian statistical inference and related machine learning methods
10

Skills For Ambitious Junior Data Scientist Resume

  • Professional experience in working with large data sets
  • Proven track record of being able to deliver insight with the ability to visualise and explain a model to a target audience
  • Experience in developing applications in personal or University/Coop projects
  • Experience in software packages including R, other data science and data science tools such as Microsoft Azure, Spark, Informatica, etc
  • Strong orientation to quantitative, data-driven analysis using stats packages such as SAS (modeler, statistics, text analytics); STATA; or SPSS; MATLAB; R
  • Good algorithmic knowledge of machine learning
  • Experience working with multiple datasources (min2+)
  • Build, validate and deploy predictive algorithms across infrastructure, middleware and applications infrastructure utilizing data from various

List of Typical Responsibilities For a Junior Data Scientist Resume

1

Responsibilities For Junior Data Scientist, Marketing Resume

  • Experienced in analyzing complex datasets and building mathematical models; experience in practically applying them is an advantage
  • Expert problem solving skills and creative thinking ability
  • Great communication skills, organized, being able to perform multiple tasks as a team player
  • Supports the creation of an automated insights generation framework for Lowe's business partners to effectively interpret data
  • Professional experience in statistical modeling, machine learning, or data mining practice
  • Experience building scalable data models and performing complex relational database queries using SQL (Oracle, MySQL), etc
  • Experience supervising algorithm implementation in on-premise and cloud-based computing environments
  • Hands on experience with deep learning with areas of computer vision, natural language processing techniques etc
2

Responsibilities For Ambitious Junior Data Scientist Resume

  • Experience processing large amounts of structured and unstructured data using Spark, Hive or other Big Data technologies
  • Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration
  • Strong emphasis on feature engineering using knowledge of security log data
  • Experience in data science tools/techniques: R, Python, SPSS, data mining, etc or similar software
  • Experience with Machine/Deep Learning software packages such as TensorFlow/MXNet/SparkML/R etc
  • Experience with data mining and tools (i.e. Bayesian analysis, SPSS, SAS, R, JMP, RapidMiner, NLP, Python, SQL, NoSQL, Java, C, etc.)
  • Experience in distributed computing (e.g. Spark)
  • Excellent quantitative analysis to take mixed data as an input and derive actionable recommendations as output
3

Responsibilities For Junior Data Scientist Finance Resume

  • Related work experience in statistical analysis and model development
  • Estimate required effort for project objectives and prioritize work items appropriately
  • Experience in a data analyst role
  • Previous experience on a data team in an agile environment
  • Conducting data mining
  • Be a collaborative teammate, sharing knowledge and learning from others while working through complex problems
  • Conduct basic ad hoc analysis, building models, forecasting viewing behavior
  • Extensive code development, debugging, optimizing, and productionizing
4

Responsibilities For Data Analyst Junior Data Scientist Resume

  • Mining and analyzing data sets to extract meaningful trends, producing meaningful and actionable reports
  • Implement insights into Monitoring system to first produce actionable alerts and then leveraging insights to have monitoring system take restoration activities
  • Knowledge of algorithms for data mining, machine learning, and/or natural language processing
  • Data cleansing; exploration and extraction of insights using a broad spectrum of Data Science techniques (Statistics, Machine Learning, etc)
  • Set up testing environments and conduct EDA, data cleaning, and testing
  • Assist in the collection, cleansing, processing and analysis of new and existing data sources
  • A desire to work on big data, predictive modeling, and machine learning projects
  • Support and contribute to mathematical approaches for better understanding of media buying efficiency
  • Self-starter with strengths managing multiple projects simultaneously and driving them to completion with limited direction
5

Responsibilities For Cfsc-junior Data Scientist Resume

  • Aid in the development of predictive modeling and machine learning solutions
  • Work in an Agile environment with team members, delivering solutions quickly and continuously exploring ways to improve our results
  • Assist with designing and running A/B tests
  • Work with leadership to implement and operationalize findings, providing administrative support during implementation as needed
  • Advise and recommend best practices for gathering and mining data
6

Responsibilities For Network Junior Data Scientist Resume

  • Build advanced analytical tools using automated feature-based learning models
  • Be the first step in data quality, by ensuring integrity of structure and monitoring anomalies
  • Track record of developing novel learning algorithms/systems
  • Data exploration: Constructing useful metrics and organization data incl. wrangling
  • Mathematical modelling: Working with other Data Scientists to create models of the relationships in data
  • Maintenance: Error handling and testing of analytics code
  • Advanced statistics and machine learning/NLP techniques and algorithms using R, Python, Java on ML platforms such as Spark, H20 etc
  • MS in any of the following disciplines: Computer Science, Economics, Engineering, Data Science, Physics, Statistics. (All others are welcome)
  • Complete fluency in at least one of the following programming languages: Python, R or SAS. Exposure to AWS or Spark would be valuable
7

Responsibilities For Social Networking Junior Data Scientist Resume

  • Passion for advanced analytics (mathematics) and applying it to predictive modelling
  • Familiarity with theory and application of statistical methods, data modelling and machine learning techniques
  • Innovative: We are constantly looking to make L2 better and more successful and need people who are always seeking to find the new and better way
  • Open to feedback as a way of learning and improving
  • Analytical coding: Using tools such as R, Python (and also Excel) for analytical purposes
  • Stats: Understanding the appropriate statistical or machine learning techniques to use in different circumstances
8

Responsibilities For Junior Data Scientist Resume

  • Involvement and driving of machine learning projects
  • Able to communicate in English (writing and speaking)
  • Be familiar with concepts like Regression, Decision Trees, Support Vector Machines, Neural nets, Time Series Forecasting, Clustering
  • Extensive knowledge in one or more of the following areas: Mathematical analysis and modelling, probability, stochastic processes, econometrics, time series
  • Exposure to working with financial data (e.g., stock market, retail banking, asset management or insurance premia)
  • Be applying linear and non-linear regression modelling techniques to large data sets to determine relationships between dependent and independent variables
  • Build long range forecasts of sales, web traffic, conversion and AOV to feed into business planning and budgeting processes
  • Know what these terms mean and the requirement and the forecasting and modelling and then what they can do with the data
  • Machine learning, collaborative filtering, NLP, or related projects
9

Responsibilities For Junior Data Scientist, Marketing Resume

  • Stay at the cutting edge: we offer a yearly training budget of 5000€ for conferences, workshops or trainings
  • Knowledge of Text Mining, Natural Language Processing and related technology platforms and tools
  • Analyze results of WSJ’s ongoing A/B testing efforts
  • Experiment with using techniques like machine learning to power personalization in our products
  • Influence each startup’s product strategy and value proposition by establishing first principles
  • Statistics, predictive modeling, operations research, informatics and tools, e.g., SPSS, SAS, R, Python
  • Proficiency in handling of big customer datasets
  • Contribute to the design advanced analytics concepts to solve the most pressing regulatory issues
  • Graduate or student in a quantitative field (physics, mathematics, computer science, econometrics, engineering etc.)
10

Responsibilities For Ambitious Junior Data Scientist Resume

  • Familiarity with machine learning techniques are not required but are welcomed
  • Develop predictive models to understand the impact of advertising cross multiple channels or platforms or audience
  • Drive and synthesize insights to generate actionable recommendations to help line-of-business make more informative marketing decisions
  • Proficiency in a statistical programming language (R, SAS, Python etc)
  • Source new and useful data sets for use in machine learning and other analyses
  • Help determine our data strategy by evaluating the impact different projects can have on various parts of the business
  • Create advanced predictive models using concepts like Artificial Neural Networks, Support Vector Machines, Random Forest, etc
  • Experiment with new datasets to try unguided and unsupervised learning to understand hidden insights -Drive Innovation ideas / discussions, PoC’s
  • Clean and prepare data for Machine Learning and AI

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