Data Scientist Resume Samples

A Data Scientist precisely will make value out of data; these professionals will fetch information from different sources and examine it for getting better knowledge about how the business operates, and build AI tools for automating processes within the company. The main job tasks that are mentioned on the Data Scientist Resume are – identifying valuable data sources, automating collection processes, undertaking to pre-process both structured and unstructured data; combining models, proposing strategies and solutions, and presenting information using data visualization techniques.

To face this challenging role, these skills will prove to be resourceful – data mining expertise, a solid understanding of machine-learning and operations research, familiarity with R, Python, SQL, and Java; experience in using business intelligence tools and data frameworks, and excellent presentation skills. A degree is normally required, but it does not necessarily have to be in the IT-related side, education background in Data Science or other quantitative field is preferred.

Data Scientist Resume

Summary : Data Scientist with PhD in Physics and 1+ industrial experience. Two years of working experience in Data Analysis team of LIGO Scientific Collaboration [$3M Special Breakthrough Prize winner of 2016]. Over ten years of successful research experience in both theoretical and computational physics. Strong problem-solving and analytical skills. Advanced programming proficiency. Certified in Data Analysis and Machine Learning.

Skills : Data Mining, Data Analysis, Machine Learning, Python, R, MATLAB, Sphinx, LaTeX, Mathematica, Maple, GIT, CVS, HTCondor.

Description :

    1. Assisted in determining client needs, deliverable design, estimates and feasibility for analytical projects concerning a custom study for a manufacturer who is using the results to support a litigation claim.
    2. Served as an internal resource for Jacknife programming and documentation.
    3. Designed and developed small scale deliverables related to the custom study.
    4. Participated in the Post Project Review QIP team.
    5. Responsible for results reporting in the appropriate media and creation of supporting documentation for the client.
    6. Monitored products from statistical programs for accuracy, consistency and statistical validity.
    7. Designed and applied statistical and mathematical methods for corporate analytics that were implemented into client-facing products.
Years of Experience
Experience
10+ Years
Experience Level
Level
Senior
Education
Education
Bachelor Of Science


Principal Data Scientist Resume

Headline : Decades of experience with 18 publications involving data mining, statistics, machine learning/predictive analytics, image processing, and time-frequency domain signal processing of time-series signals. An experienced programmer A creative thinker with earnest curiosity and eagerness to learn new skills US citizen.

Skills : Decades of experience in data mining, statistics, machine.

Description :

    1. Real-Time Trend Detection First non-founder employee.
    2. Developed and established the Intelligent Playground of Bottlenose from the ground up.
    3. This platform proved to be a central player in raising over $15 million in funding.
    4. Used weighted SVM on top of signal processing techniques to find trends in social-media before competitors.
    5. Found breaking-news significantly sooner than news agencies on over 80% of occasions.
    6. Developed patented methods of correlation on streaming data.
    7. Combined noise-deduction with different correlation metrics to detect time-lag relationship between thousands of live social-media data metrics.
    8. Built trend detection and correlation finder to detect abnormal behaviour of log data, identifying fraudulent activity in the cyber security space.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
PhD In Statistics


Volunteer Data Scientist Resume

Objective : Have hands on experience in writing MapReduce jobs using Java, Managing Single node and Multi node Cluster Configurations. Writing Pig Latin scripts and pig commands, Configuring Zoo Keeper, Cassandra & Flume to the existing hadoop cluster. Experience in building predictive models using machine learning techniques. Performed importing and exporting data into HDFS and Hive using Sqoop, Hive queries.

Skills : Python, Matlab, Git, Data Analysis, Data Mining, Machine Learning, C++, Latex, Java, Scala, HTML, Hadoop, SQL.

Description :

    1. Analyzed MTA subway data and New York City census data to determine traffic flows and demographic patterns of New York City.
    2. Used Beautiful Soup to scrape publicly available movie data to better understand the relationship between box office performance and distribution company.
    3. Using sci-kit learn, ran linear regression and built a model of box office performance.
    4. Based on model, identified two distribution companies whose revenue outperformed peers.
    5. Used matplotlib and reveal.js to communicate results of research.
    6. Project McNulty: Setup SQL database on cloud server, storing client's data for query analysis.
    7. Used Python's scikit-learn library to understand details of client telemarketing campaign.
    8. Used machine learning algorithms to build model able to predict which clients to engage based on variety of client, macro, and campaign-specific characteristics.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Diploma In Chinese Mandarin

Associate Data Scientist Resume

Objective : To further my career in mathematics by obtaining an analytic position in data, software development, and/or strategy.

Skills : Python, MySQL, Tensor Flow, Analytics, Machine Learning, Database Management, Strategic Planning.

Description :

    1. Searched, organized, and analyzed clinical data regarding in vitro fertilization.
    2. Used statistical analysis to determine data behavior.
    3. Used machine learning on the data to create predictive models regarding IVF outcomes such as live birth, pregnancy, and multiple birth.
    4. Discussed data and models with research and development team to make the best possible products for consumers.
    5. Designed and revised forms, manuals, and other company documents.
    6. This includes product input forms, test results forms, and other files that are for internal and external use.
    7. Managed coworkers on certain projects regarding QA testing and product development.
    8. Attended scientific conferences and teleconferences to help market, promote, and demonstrate company products.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Professional Development In Data Science

Data Scientist Trainee Resume

Objective : To obtain a position as a Data Architect in a collaborative environment utilizing my creativity and technical skills. The position must demand a high degree of self-motivation and the ability to drive data-centric solutions for complex business problems. I most enjoy solving problems that require my data modeling, analytics, and solution architecture expertise.

Skills : Data Architecture, Data Modeling, Big Data, SQL.

Description :

    1. Business Opportunity Network Kinetix provides Business Assurance and Revenue solutions to mobile carriers, enabling non-intrusive access to 'live' network traffic for immediate analysis, decisions, and action on revenue-impacting events.
    2. Examples include Fraud Detection (International Revenue Sharing Fraud, Identity Fraud, SIM Box By-Pass Fraud), 911 Outage, Network Operations, and Customer Experience.
    3. My Contributions Model complex mobile carrier problems through using statistical, algorithmic, mining, and visualization techniques.
    4. Produce operable insights using supervised and unsupervised machine learning.
    5. Integrate live data from multiple network protocols.
    6. Create live data analytics applications that make data-driven decisions on each event as it enters the data pipeline based on rules discovered through machine learning.
    7. Deployed on the HP Helion Public Cloud demonstrating a scalable cloud version of network data analytics application.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Bachelor's In Mathematics

Data Scientist Assistant Resume

Objective : Data scientist with a strong math background and experience in big data, machine learning, and statistics. Passionate about explaining data science to non-technical business audiences.

Skills : Machine Learning, Data Mining, Bayesian Inference and.

Description :

    1. Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment.
    2. Analyze large datasets to provide strategic direction to the company.
    3. Perform quantitative analysis of product sales trends to recommend pricing decisions.
    4. Conduct cost and benefit analysis on new ideas.
    5. Scrutinize and track customer behavior to identify trends and unmet needs.
    6. Develop statistical models to forecast inventory and procurement cycles.
    7. Assist in developing internal tools for data analysis.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
MSc In Engineering

Lead Data scientist Resume

Summary : Experienced data analyst in providing predictive modelling for multinational companies and start-ups, leveraging expertise in business strategy and operations. Project experience includes machine learning, deep learning, and big data.

Skills : Software Development, Data Analysis, Research, Matlab, C++, Python, R.

Description :

    1. Data Mining, Modeling, and Algorithm Development Implemented novel algorithms for modelling chemical systems and mining chemical databases using extensive application of graph theory.
    2. Algorithms include conformation sampling, drug design, and reaction based design through graph manipulations.
    3. Conceptualization and design of a hierarchical database enabling fast graph isomorphism searches for storing and retrieving chemical information.
    4. Software Development Experience developing object-oriented code in a team environment using software design patterns, revision control and unit-testing.
    5. Cross-platform software development on Linux, Windows, Mac Extensive experience in graph theory applications, relational databases and multi-threaded code.
    6. Predictive Modeling, and Statistical Analysis Using artificial neural networks (ANN) for correlating chemical structure to drug likeness of molecules.
    7. Identified novel molecules with activity against a cancer causing protein target.
    8. Developed novel ANN algorithms for improving prediction of drug likeness of molecules which occur in multiple states by modifications to back-propagation and weight update schemes.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Consultant
Education
Education
PhD In Computational Chemistry

Data Scientist/Advocate Resume

Objective : Over 7 years of strong IT experience in field of Data Analytics & Data Science focused on processing and analyzing large amount of data using Hadoop (Mahout, Hive, PIG), R, MS Excel, MS Access 2012, MS SQL 2012, SAS, Matlab. Proficient in Machine Learning, Data/Text Mining, Statistical Analysis & Predictive Modeling. Efficient in: data acquisition, storage, analysis, integration, predictive modeling, logistic regression, decision trees, data mining methods, forecasting, factor analysis, cluster analysis, ANOVA and other advanced statistical techniques.

Skills : Data Analyst, Big Data Analyst, Hadoop, Big Data Scientist.

Description :

    1. Description: The focus of project was on sales prediction by using sales data into supervised classification algorithm to predict customer churn and implement successful strategy.
    2. Responsibilities: Supported sales forecasting & planning team by improving time series & principal component analysis.
    3. Utilized machine learning techniques for predictions & forecasting based on the Sales training data.
    4. Executed overall data aggregation/alignment & process improvement reporting within the sales dept.
    5. Managed Data quality & integrity using skills in Data Warehousing, Databases & ETL.
    6. Monitored and maintained high levels of data analytic quality, accuracy, and process consistency.
    7. Assisted sales management in data modeling.
    8. Ensured on-time execution and implementation of sales planning analysis and reporting objectives.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
Diploma

Co-Founder & Data Scientist Resume

Objective : Over 12 years of experience in Data Management, Integration, Analysis, Software R&D and big data projects, 6 years system analysis and presentation in Logistics, Telecom, Finance.

Skills : SAS, R, Python, Matlab, SQL, Hadoop, Oracle, SQL Server, Java, Machine Learning, Hypothesis Testing, Time Series Analysis, Marketing Analysis, Visualization, Excel Modeling.

Description :

    1. Statistical Data Modeling, Database Data Modeling, Advanced R/SQL Development.
    2. Perform data-extraction, transformation and loading (ETL) development and programming.
    3. Perform data-mining, data analysis and performance measurements on business-information systems by using analytics tools and methodologies.
    4. Carrying out Marketing Analytics (Basel II), Risk Management (Logistic regression) and Survival Analysis to evaluate customer information.
    5. Worked on importing data from various sources and performed transformations using Map Reduce, Hive to load data into HDFS.
    6. Configured MR/Sqoop jobs to import data from RDBMS into HDFS.
    7. Created HBase tables to store variable data formats coming from different portfolios.
    8. Developed multiple Map Reduce jobs in Python/Java for data cleansing and preprocessing.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
M.S. In Applied Statistics

Data Scientist/Advocate Resume

Objective : Over 7 years of strong IT experience in field of Data Analytics & Data Science focused on processing and analyzing large amount of data using Hadoop (Mahout, Hive, PIG), R, MS Excel, MS Access 2012, MS SQL 2012, SAS, Matlab. Proficient in Machine Learning, Data/Text Mining, Statistical Analysis & Predictive Modeling. Efficient in: data acquisition, storage, analysis, integration, predictive modeling, logistic regression, decision trees, data mining methods, forecasting, factor analysis, cluster analysis, ANOVA and other advanced statistical techniques.

Skills : Data Analyst, Big Data Analyst, Hadoop, Big Data Scientist.

Description :

    1. Description: The focus of project was on sales prediction by using sales data into supervised classification algorithm to predict customer churn and implement successful strategy.
    2. Responsibilities: Supported sales forecasting & planning team by improving time series & principal component analysis.
    3. Utilized machine learning techniques for predictions & forecasting based on the Sales training data.
    4. Executed overall data aggregation/alignment & process improvement reporting within the sales dept.
    5. Managed Data quality & integrity using skills in Data Warehousing, Databases & ETL.
    6. Monitored and maintained high levels of data analytic quality, accuracy, and process consistency.
    7. Assisted sales management in data modeling.
    8. Ensured on-time execution and implementation of sales planning analysis and reporting objectives.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
Diploma

Data Scientist II Resume

Objective : I am looking for a Data / Analytical Science position to apply mathematical, statistical and programming skills to conceptualize, build and implement intelligent systems. I currently work as a data scientist at a HealthCare IT firm where I specialize in Machine Learning, Data Mining and Predictive Modelling of Clinical Data. Particularly how clinical and financial data, which lie dormant in various data sources, can be leveraged to develop predictive and analytical models to make better clinical decisions.

Skills : Matlab, LabVIEW, Java, C/C++, SQL, R, Python, SAS, Machine Learning, Apache Spark.

Description :

    1. Applied neural networks models (RNN, Feedforward, Auto encoder) on multiple projects.
    2. Applied local sensitive hashing with dynamic time warping and Fourier transform kernels to achieve multivariate time series pattern search on high frequency trading nanosecond trading data.
    3. Applied 1-SVM, MCE, SOM, spectral and hierarchy clustering unsupervised learning algorithms to detect anomalies and clustering pattern.
    4. Applied a variety of dimensionality reduction algorithms on different dataset to process data and/or visualize data in 3D.
    5. Applied random forest/gradient boosting trees on a variety of dataset including: Large scale data, unbalanced data, unsupervised learning data, regression time series data, and etc.
    6. Applied some basic natural language processing techniques to process social media data.
    7. Applied Hidden Markov Models on multivariate time series data.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Master Of Science In Operations Research

Co-Founder & Data Scientist Resume

Objective : Over 12 years of experience in Data Management, Integration, Analysis, Software R&D and big data projects, 6 years system analysis and presentation in Logistics, Telecom, Finance.

Skills : SAS, R, Python, Matlab, SQL, Hadoop, Oracle, SQL Server, Java, Machine Learning, Hypothesis Testing, Time Series Analysis, Marketing Analysis, Visualization, Excel Modeling.

Description :

    1. Statistical Data Modeling, Database Data Modeling, Advanced R/SQL Development.
    2. Perform data-extraction, transformation and loading (ETL) development and programming.
    3. Perform data-mining, data analysis and performance measurements on business-information systems by using analytics tools and methodologies.
    4. Carrying out Marketing Analytics (Basel II), Risk Management (Logistic regression) and Survival Analysis to evaluate customer information.
    5. Worked on importing data from various sources and performed transformations using Map Reduce, Hive to load data into HDFS.
    6. Configured MR/Sqoop jobs to import data from RDBMS into HDFS.
    7. Created HBase tables to store variable data formats coming from different portfolios.
    8. Developed multiple Map Reduce jobs in Python/Java for data cleansing and preprocessing.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
M.S. In Applied Statistics

Data Scientist III Resume

Headline : To further my career in mathematics by obtaining an analytic position in data, software development, and/or strategy.

Skills : Microsoft Excel, Access, R, Python, Hadoop, Unix, SQL, AWS, Java, NoSQL, Scala.

Description :

    1. Searched, organized, and analyzed clinical data regarding in vitro fertilization.
    2. Used statistical analysis to determine data behavior.
    3. Used machine learning on the data to create predictive models regarding IVF outcomes such as live birth, pregnancy, and multiple birth.
    4. Discussed data and models with research and development team to make the best possible products for consumers.
    5. Designed and revised forms, manuals, and other company documents.
    6. This includes product input forms, test results forms, and other files that are for internal and external use.
    7. Managed coworkers on certain projects regarding QA testing and product development.
    8. Attended scientific conferences and teleconferences to help market, promote, and demonstrate company products.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Consultant
Education
Education
Master Of Science In Applied Mathematics

Data Scientist II Resume

Objective : I am looking for a Data / Analytical Science position to apply mathematical, statistical and programming skills to conceptualize, build and implement intelligent systems. I currently work as a data scientist at a HealthCare IT firm where I specialize in Machine Learning, Data Mining and Predictive Modelling of Clinical Data. Particularly how clinical and financial data, which lie dormant in various data sources, can be leveraged to develop predictive and analytical models to make better clinical decisions.

Skills : Matlab, LabVIEW, Java, C/C++, SQL, R, Python, SAS, Machine Learning, Apache Spark.

Description :

    1. Applied neural networks models (RNN, Feedforward, Auto encoder) on multiple projects.
    2. Applied local sensitive hashing with dynamic time warping and Fourier transform kernels to achieve multivariate time series pattern search on high frequency trading nanosecond trading data.
    3. Applied 1-SVM, MCE, SOM, spectral and hierarchy clustering unsupervised learning algorithms to detect anomalies and clustering pattern.
    4. Applied a variety of dimensionality reduction algorithms on different dataset to process data and/or visualize data in 3D.
    5. Applied random forest/gradient boosting trees on a variety of dataset including: Large scale data, unbalanced data, unsupervised learning data, regression time series data, and etc.
    6. Applied some basic natural language processing techniques to process social media data.
    7. Applied Hidden Markov Models on multivariate time series data.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Master Of Science In Operations Research

Data Scientist Resume

Objective : Expertise in problem solving. Excellent in working with business users and colleagues as part of requirements, gathering and converting their needs into mathematical models and solutions. Deep understanding of Statistical Models, Algorithms and Multivariate Analysis.

Skills : Python, SQL, R, Java, C++, SPSS, Excel and all MS Office, Misc: LISREL, HLM; DbVisualizer, Google Analytics, PuTTY, Perl, CMD; Surveymonkey.

Description :

    1. Worked on commercial and customer activity data analysis, including data collection, table treatment, database information, problem analysis, solution proposal and implementation.
    2. Proposed three solutions to deal with Promotion Effective Analysis with methods to calculate sales baseline and lift.
    3. Responsible for data collection, cleansing and variable analysis.
    4. Designed technical solution roadmap to deal with noise in sales data.
    5. Finished multiple linear or nonlinear regression models for testing case and achieved very good predicting results in scenario tests.
    6. Developed automation process for variable selection and model testing and used the method on over 5,000 SKU's.
    7. Worked on Noise Reduction/Moving Average methods - exponential smoothing and Fast Fourier Transformation methods - and compared them with regression methods.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
Degree

Data Scientist III Resume

Headline : To further my career in mathematics by obtaining an analytic position in data, software development, and/or strategy.

Skills : Microsoft Excel, Access, R, Python, Hadoop, Unix, SQL, AWS, Java, NoSQL, Scala.

Description :

    1. Searched, organized, and analyzed clinical data regarding in vitro fertilization.
    2. Used statistical analysis to determine data behavior.
    3. Used machine learning on the data to create predictive models regarding IVF outcomes such as live birth, pregnancy, and multiple birth.
    4. Discussed data and models with research and development team to make the best possible products for consumers.
    5. Designed and revised forms, manuals, and other company documents.
    6. This includes product input forms, test results forms, and other files that are for internal and external use.
    7. Managed coworkers on certain projects regarding QA testing and product development.
    8. Attended scientific conferences and teleconferences to help market, promote, and demonstrate company products.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Consultant
Education
Education
Master Of Science In Applied Mathematics

Data Scientist Resume

Objective : Expertise in problem solving. Excellent in working with business users and colleagues as part of requirements, gathering and converting their needs into mathematical models and solutions. Deep understanding of Statistical Models, Algorithms and Multivariate Analysis.

Skills : Python, SQL, R, Java, C++, SPSS, Excel and all MS Office, Misc: LISREL, HLM; DbVisualizer, Google Analytics, PuTTY, Perl, CMD; Surveymonkey.

Description :

    1. Worked on commercial and customer activity data analysis, including data collection, table treatment, database information, problem analysis, solution proposal and implementation.
    2. Proposed three solutions to deal with Promotion Effective Analysis with methods to calculate sales baseline and lift.
    3. Responsible for data collection, cleansing and variable analysis.
    4. Designed technical solution roadmap to deal with noise in sales data.
    5. Finished multiple linear or nonlinear regression models for testing case and achieved very good predicting results in scenario tests.
    6. Developed automation process for variable selection and model testing and used the method on over 5,000 SKU's.
    7. Worked on Noise Reduction/Moving Average methods - exponential smoothing and Fast Fourier Transformation methods - and compared them with regression methods.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
Degree