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.

Looking for drafting your winning cover letter? See our sample Data Scientist Cover Letter.
Data Scientist Resume example

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.

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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 Jackknife 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


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 : Data Entry, MS Office, Planning Skills.

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Description :

  1. Real-Time Trend Detection First non-founder employee.
  2. Developed and established the Intelligent Playground of Bottlenose from the ground up.
  3. Used weighted SVM on top of signal processing techniques to find trends in social-media before competitors.
  4. Found breaking-news significantly sooner than news agencies on over 80% of occasions.
  5. Developed patented methods of correlation on streaming data.
  6. Combined noise-deduction with different correlation metrics to detect time-lag relationship between thousands of live social-media data metrics.
  7. 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


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.

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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. Used sci-kit learn, ran linear regression, and built a model of box office performance.
  4. Based on the model, identified two distribution companies whose revenue outperformed peers.
  5. Setup SQL database on a cloud server, storing client's data for query analysis.
  6. Used Python's sci-kit-learn library to understand the details of a client telemarketing campaign.
  7. Used machine learning algorithms to build a model able to predict which clients to engage based on a 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

Data Scientist Resume

Objective : Seeking a Data Scientist profession with an outstanding career opportunity that will offer a rewarding work environment along with a winning team that will fully utilize management skills.

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

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Description :

  1. Used matplotlib and reveal.js to communicate the results of research.
  2. Attended scientific conferences and teleconferences to help market, promote, and demonstrate company products.
  3. Ensured on-time execution and implementation of sales planning analysis and reporting objectives.
  4. Cross-platform software development on Linux, Windows, Mac Extensive experience in graph theory applications, relational databases, and multi-threaded code.
  5. Reinvented the way sales forces operate, equipping them with data-driven tools to support the prioritization of their efforts.
  6. Optimized the pricing of products in real-time.
  7. Optimized marketing spend allocation across channels.
            Years of Experience
            Experience
            2-5 Years
            Experience Level
            Level
            Executive
            Education
            Education
            GED

            Data Scientist Resume

            Objective : To obtain a position as a Data Scientist 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.

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            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. Contributed Model complex mobile carrier problems through using statistical, algorithmic, mining, and visualization techniques.
            4. Produced operable insights using supervised and unsupervised machine learning.
            5. Integrated live data from multiple network protocols.
            6. Created 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 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.

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            Description :

            1. Worked 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. Analyzed large datasets to provide strategic direction to the company.
            3. Performed quantitative analysis of product sales trends to recommend pricing decisions.
            4. Conducted cost and benefit analysis of new ideas.
            5. Scrutinized and tracked customer behavior to identify trends and unmet needs.
            6. Developed statistical models to forecast inventory and procurement cycles.
            7. Assisted 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 modeling 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.

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            Description :

            1. Data Mining, Modeling, and Algorithm Development Implemented novel algorithms for modeling chemical systems and mining chemical databases using the extensive application of graph theory.
            2. Algorithms include confirmation sampling, drug design, and reaction-based design through graph manipulations.
            3. Conceptualized and designed a hierarchical database enabling fast graph isomorphism searches for storing and retrieving chemical information.
            4. Software Development Experienced in developing object-oriented code in a team environment using software design patterns, revision control, and unit testing.
            5. Predictive Modeled, and Statistical Analysis Using artificial neural networks (ANN) for correlating chemical structure to drug-likeness of molecules.
            6. Identified novel molecules with activity against a cancer-causing protein target.
            7. Developed novel ANN algorithms for improving the prediction of drug-likeness of molecules that 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 the field of Data Analytics & Data Science focused on processing and analyzing large amounts 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.

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            Description :

            1. Focused the project was on sales prediction by using sales data into a supervised classification algorithm to predict customer churn and implement a successful strategy.
            2. Supported sales forecasting & planning team by improving time series & principal component analysis.
            3. Utilized machine learning techniques for predictions & forecasting based on 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.
            Years of Experience
            Experience
            2-5 Years
            Experience Level
            Level
            Junior
            Education
            Education
            Diploma

            Co-Founder & Data Scientist Resume

            Objective : Responsible for Interviewing stakeholders to understand business needs and to gather requirements, and also Working closely with product managers to build pricing-related products including machine learning algorithms.

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

            Co-Founder & Data Scientist Resume Example
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            Description :

            1. Performed data extraction, transformation, and loading (ETL) development and programming.
            2. Performed data mining, data analysis, and performance measurements on business-information systems by using analytics tools and methodologies.
            3. Carried out Marketing Analytics (Basel II), Risk Management (Logistic regression), and Survival Analysis to evaluate customer information.
            4. Worked on importing data from various sources and performed transformations using Map Reduce, Hive to load data into HDFS.
            5. Configured MR/Sqoop jobs to import data from RDBMS into HDFS.
            6. Created HBase tables to store variable data formats coming from different portfolios.
            7. 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 Resume

            Objective : Hardworking, organized, Data Scientist professional with a proven background delivering sensible business technology solutions on time and under budget while working as a team member or team leader.

            Skills : Data Entry, Planning Skills, Analyzing SKills.

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            Description :

            1. Deployed some flagship projects, such as Sales Forces allocation across points of sales based on business potential and image by using various sources of data (point of sales, sales data by SKU, Sales Rep data, social network, third-party data).
            2. Prioritized outlets through social media data & automated updates to increase market penetration and better calibration of our route to market.
            3. Gathered and organized large and complex data assets, perform relevant analyses and modeling.
            4. Ensured analytics model quality assurance and validate them (peer validation).
            5. Defined model monitoring criteria.
            6. Communicated hypotheses and findings in a structured way.
            7. Partnered with Data Analysts to present the outcomes of our models.
                              Years of Experience
                              Experience
                              2-5 Years
                              Experience Level
                              Level
                              Junior
                              Education
                              Education
                              Diploma