Data Scientist, Analytics Resume Sample

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Kyra Collier
5829 Magnus Ways,  Philadelphia, PA
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Work Experience


Senior Data Scientist Analytics
12/2016 - PRESENT
Philadelphia, PA
  • Act as a partner in starting, prioritizing, and executing data intensive projects
  • Challenge ideas, assumptions, and methods while working together with talented, highly skilled team members in various roles
  • Data Infrastructure Working in hadoop and hive primarily, sometimes mysql, oracle, and vertica
  • Product Operations Setting goals
  • Exploratory Analysis Proposing what to build in the next roadmap
  • Product Leadership Influencing product teams through presentation of work
  • Design and implement reporting dashboards that track key business metrics and provide actionable insights
Data Scientist, Analytics
10/2012 - 10/2016
San Francisco, CA
  • A passion for empirical research, a desire to work on challenging data problems around predictive analytics and a demonstrated ability to learn and innovate
  • The ability to create a strong network of relationships among peers, internal partners, and external constituencies
  • Comfortable communicating with and receiving feedback from both technical and non-technical audiences
  • Select and apply effective statistical and machine learning models to solve real problems
  • Experience in solving analytical problems using quantitative approaches (or equivalent)
  • Prioritise leads so that the teams work on the most valuable cases
  • Extending company’s data with third party sources of information when needed
GBS Entry Level Data Scientist Analytics Co-op
09/2009 - 08/2012
Dallas, TX
  • Prioritize leads so that the teams work on the most valuable cases
  • Active Facebook user
  • Data Infrastructure
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
  • Partner with Product, Engineering, and Mobile Operator Partnerships teams to solve problems and identify trends and opportunities
  • Leverage data management processes and available infrastructure / API tools to develop POC capabilities/solutions

Education


Argosy University - Schaumburg
2005 - 2009
Science's Degree in Business

Professional Skills


  • Strong technical skills regarding data analysis, statistics and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R
  • Strong PC skills including knowledge of the primary Microsoft Office applications including advanced knowledge of Excel
  • Proficient in Data Engineering, database architecture and data warehouse. Excellent SQL skills
  • Strong facilitation skills, confident communicator, both verbally and in writing with all levels of an organization and diverse audiences
  • Excellent communication skills; the ability to convey complex analysis results clearly and with conviction to all levels of stakeholders
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem
  • Strong experience with data mining / machine learning platforms and tools like Spark, SparkML, R, Python, RapidMinder, etc

How to write Data Scientist, Analytics Resume

Data Scientist, Analytics role is responsible for architecture, analysis, database, excel, design, retail, training, reporting, research, digital.
To write great resume for data scientist, analytics job, your resume must include:

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

Contact Information For Data Scientist, Analytics Resume

The section contact information is important in your data scientist, analytics 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 Data Scientist, Analytics Resume

The section work experience is an essential part of your data scientist, analytics resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data scientist, analytics responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data scientist, analytics position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Data Scientist, Analytics resume experience can include:

  • Effectively communicate insights and recommendations to management in support of strategic decision-making
  • Proven experience influencing product strategy through data-centric presentations (to product, business, and other stakeholders)
  • Extensive project management experience, with proven ability to succeed in both collaborative and independent work environments
  • Hands on experience working with large datasets/data warehouses using data mining and modeling tools and languages (SQL, R, Python, SAS, etc.)
  • Experience and knowledge in at least one of the following areas: predictive modeling, machine learning, experimentation methods
  • Experience solving real problems using data mining techniques and with statistical rigour

Education on a Data Scientist, Analytics Resume

Make sure to make education a priority on your data scientist, analytics resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data scientist, analytics experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Data Scientist, Analytics Resume

When listing skills on your data scientist, analytics resume, remember always to be honest about your level of ability. Include the Skills section after experience. Present the most important skills in your resume, there's a list of typical data scientist, analytics skills:

  • Significant experience in building, iterating and validating statistical models
  • Strong working knowledge of data cleaning, machine learning and analytics techniques and experience with large data sets
  • Good understanding of various big data concepts. Good working knowledge of Hadoop based environments
  • Relevant prior internship experience in solving analytical problems using quantitative approaches (or equivalent)
  • Prior experience a data scientist or in a highly technical/quantitative problem solving and analytical role
  • Analytical skills with capability to apply logic to solving problems

List of Typical Experience For a Data Scientist, Analytics Resume

1

Experience For Data Scientist Analytics Resume

  • Experience clearly defining problems, collecting data and draw valid conclusions
  • Three years experience in database ETL operations, statistical computer programming, and functional/object-oriented computer programming
  • Experience and knowledge of at least one modeling framework (e.g., SciKit Learn, TensorFlow, SAS, R, MATLAB)
  • Relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / computational biologist / bioinformatician)
  • Experience with statistical software (e.g., R, Julia, MATLAB, pandas) and database languages (e.g., SQL)
  • Overall related experience
  • QL experience
2

Experience For Senior Data Scientist Analytics Resume

  • Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency and aggressive documentation
  • Raise the skill level of entire analyst team through the creation of exemplary work, mentorship and the introduction of better practices, processes and tools
  • Experience with big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark, Storm)
  • Experience in analytics or related field
  • Several years of experience as a Software Development Engineer, Data Engineer, Business Intelligence Engineer or Data Scientist
  • Previous experience of data analytic, ideally in an e-commerce environment
  • Statistical software experience (SAS, R, etc) and ability to independently perform and describe statistical analyses
  • Creating statistical analysis plans and leading analytic engagements
  • Recommend customer segmentation for marketing campaigns through using existing models and campaign results
3

Experience For Data Scientist / Analytics Architect Resume

  • Automates – Utilizes scripting languages to automate resource-consuming and repetitive tasks within the analysis workflow
  • Perform customer segmentation or predictive modeling tasks if no analytic tool exists to achieve marketing results
  • Help define the customer learning agenda and seasonal testing plan
  • Build and develop trust-based relationships with operator customer’s middle and senior management in relation to product attached consulting engagements
  • Visualizes data – Creates publication-quality graphical representations of data that are pleasing to the eye and easily interpreted
  • See beyond the numbers, be the voice of data when communicating to decision makers, product owners and team leaders
  • Own ongoing deliverables and communications
  • Work with data engineers to architect, develop, and optimize data and modeling pipelines
4

Experience For Data Scientist, Analytics Office Resume

  • Knowledge of at least one modeling framework (e.g., SciKit Learn, TensorFlow, SAS, R, MATLAB)
  • Own all communications of insights to upper management in support of strategic decision-making
  • Work with data engineers to architect data and modeling pipelines
  • Work cooperatively with the IT organization to enhance customer data mart by providing data requirements that would enable more complete, efficient analysis
  • Expertise in one or more of the following Data Science domains
  • Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations
5

Experience For Data Scientist, Analytics Specialist Senior Resume

  • Avid interest and strong passion in the healthcare and life science industries
  • Excellent conversational and business English (written and oral); additional languages an advantage
  • If offered a permanent contract, a willingness to relocate to Malaysia
  • Strive for customer business benefits and customer satisfaction
  • Analyzes data – Integrates data from multiple sources and performs complex statistical data analysis in support of ad hoc and scheduled requests. Provides actionable insights
  • Presents data to drive business decisions – Delivers data products in a timely manner using effective report and/or presentation formats intended to convey clinical performance in System and Ministry initiatives
  • Automates – Utilizes scripting languages to automate resource-consuming and repetitive tasks within theanalysis workflow. Writes reusable code for speeding up the delivery of commonly-made requests relatedto fetching, summarizing, transforming, and visualizing data
  • Builds software solutions – Utilizes object-oriented or functional programming languages to createdependable, easy-to-use tools to help team members work with data more efficiently and increase team productivity
  • Obtain work authorization in the United States in 2018
6

Experience For Data Scientist Analytics Senior Specialist Resume

  • Utilize data to aggregate and analyze process performance by segment, product, channel and customer base. Consult with all levels of leadership to achieve stated goals
  • Provide analytic expertise to improve operational or process performance
  • Develop statistical model scenarios when appropriate for initiatives or vendor performance management
  • Drive changes in the organizational measurement systems to effectively monitor key strategic focuses, shifting the organization to end-to-end process management beyond current functional focus
  • Related work experience or equivalent combination of transferrable experience and education, including experience in the health insurance industry and/or call center and transactional operations or relevant business experience
  • Proven experience working with data and statistical analysis
  • Visualizes data – Creates publication-quality graphical representations of data that are pleasing to the eye and easily interpreted. Presents data to drive business decisions – Delivers data products in a timely manner using effective report and/or presentation formats intended to convey clinical performance in System and Ministryinitiatives
  • Communication experience - adapts the technical depth of an argument to the audience and problem at hand
  • Process and analyze demand data to build mathematical models to forecast demand at multiple levels and time horizons
7

Experience For Data Scientist & Analytics Manager Resume

  • Utilize additional data sources and incorporate into models to drive up demand forecast accuracy where applicable
  • Calculate and maintain key performance indicators (KPIs: Bias and Accuracy) for the demand forecasts created
  • Utilize visualization tools (Ex: Tableau) to create and maintain dashboards of demand forecasts and KPIs for business reviews
  • Create, enhance and maintain technical documentation to ensure sustainability of work
  • Leverage data to identify, quantify and influence tangible business gain
  • Have the capacity to thrive in our fast-paced environment, adapt quickly and take ownership of your work
  • Implements data management procedures compliant with regulatory requirements
8

Experience For Data Scientist / Analytics Resume

  • Ensures the consistent implementation of data collection procedures by staff
  • Obtains Data – Utilizes SQL to mine appropriate data elements from the various clinical database systems
  • Assures integrity of clinical data as it is transmitted from system to system and/or system to database, ensuring transnational accuracy, completeness, and timeliness
  • Analyzes data – Integrates data from multiple sources and performs complex statistical data analysis in support of ad hoc and scheduled requests
  • Presents data to drive business decisions – Delivers data products in a timely manner using effective report and/or presentation formats intended to convey clinical performance in System and Ministryinitiatives
  • Builds software solutions – Utilizes object-oriented or functional programming languages to create dependable, easy-to-use tools to help team members work with data more efficiently and increase teamproductivity
9

Experience For Data Scientist, Analytics, University Grad Resume

  • Establish, track, and communicate key customer metrics such as shopping patterns, retention rates, contact frequency and the corresponding trends
  • Escalate new customer trends to business partners; provide hypotheses/facts around what is causing them and recommendations on how to strategically use these new insights
  • Provide ad-hoc customer analyses to address specific business questions from stakeholder groups: marketing, strategy, merchandising, and planning
  • Analyze customer based results and behaviors within email, mobile, and direct mail marketing campaigns, providing conclusions and recommendations
  • Establish and update profiles for key customer segments
  • Maintain functional expertise in database analytics best practices and the tools that support them
  • Provides actionable insights
  • Define key sales performance metrics and build ROI models
  • Develop sales experimentation and attribution frameworks
10

Experience For Cyber Security Data Scientist / Analytics Resume

  • Surface insights on the sales conversion pipeline, customer segmentation, and customer success
  • Partner with sales ops and regional directors to develop regional supply acquisition strategy
  • Design and implement data-driven systems that increase sales agent success
  • Fluency in the core toolkit of Data Science
  • Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment results

List of Typical Skills For a Data Scientist, Analytics Resume

1

Skills For Data Scientist Analytics Resume

  • Experience solving real problems using data mining techniques and with statistical rigor
  • Experience in applying machine learning algorithms to real-life data
  • Experience doing quantitative analysis or statistical modeling
  • Internship experience in solving analytical problems using quantitative approaches (or equivalent)
  • Experience across analytics, digital marketing/advertising, business intelligence, IT, and/or
2

Skills For Senior Data Scientist Analytics Resume

  • Experience managing advanced analytics and modeling teams
  • Build and operate models by using high-level modeling languages such as R, Python or in software languages such as Matlab
  • Experience extracting and manipulating large datasets
  • Experience performing data analysis with any of the following: SAS, Python, R
  • Customer-level data mining experience; preferably in a database marketing, multi-channel retail environment
  • Masters, PhD, or equivalent experience in a quantitative field (computer science, physics, mathematics, engineering, bioinformatics, etc.)
  • Preferably 3 years of experience in a relevant role, especially in Marketing, Customer Research, and E-commerce
3

Skills For Data Scientist / Analytics Architect Resume

  • Experience doing quantitative analysis
  • Preferably applied research experience in the domain of data management and analytics, and affinity to the research way of working
  • Several years of coding experience (Python, R, Scala, Java…)
  • A deep industry experience in data warehousing, ETL and BI architecture
  • Demonstrable coding experience (Python, R, Scala, Java…)
  • Experience leading technical teams
  • Experience leading cross-functional teams
  • Strong leadership with willingness to readily take ownership of highly challenging tasks and problems
4

Skills For Data Scientist, Analytics Office Resume

  • Applicable work experience preferably in data science, software engineering, or business intelligence
  • Strong story telling ability through formal presentations, email, webinars, etc
  • Presentation experience with senior leadership including vice president of operations, directors and senior level management across the enterprise
  • Experience with two sided platforms and teasing out causal inference from endogenous systems
  • Experience with statistical techniques such as K-means clustering, logistic regression and decision trees
  • Develop advanced and predictive models such as lead prioritization, churn prediction and assist sales ops teams in using these models
  • Experience with statistical analysis and modeling
5

Skills For Data Scientist, Analytics Specialist Senior Resume

  • Good ability to organize own work and self-motivated
  • Advanced experience with distributed systems (Hadoop, Spark...)
  • Using concise language and compelling visuals to translate findings into actionable recommendations to support regular and ad-hoc reporting
  • Developing and scaling data-savvy techniques and products that are used both internally and externally by clients
  • Forecasting and setting product team goals
  • Designing and evaluating experiments
  • Monitoring key product metrics, understanding root causes of changes in metrics
  • Applying advanced analytics and data science methods to generate innovative new network measures and insights using available data
6

Skills For Data Scientist Analytics Senior Specialist Resume

  • Automating analyses and authoring pipelines via SQL and python based ETL framework
  • Working proficiency with SQL as well as Excel
  • Working knowledge of visualization tools (Ex: Tableau)
  • Writes reusable code for speeding up the delivery of commonly-made requests related to fetching, summarizing, transforming, and visualizing data
  • Provide technical and thought leadership on designing, prototyping, implementing and automating complex analyses
  • Proficient in English (speaking, writing and reporting) as well as at least one of the major languages in the region
  • Partner with senior leaders from product, engineering, and machine learning data science to identify opportunities for improvement and drive decision-making
7

Skills For Data Scientist & Analytics Manager Resume

  • Fully responsible for planning and executing all required data analytics related to assigned consulting engagements
  • Plan, and be able to conduct as needed, end-to-end analyses, from data requirement gathering, to data processing and modeling
  • Knowledge of Synchronized Business Planning and Sales & Operations Planning
  • Mine data for the underlying trends and marketing triggers that can drive business results
  • Understand customer’s commercial and operational challenges and apply these understanding when developing models and insights
  • Develop Excel based models using advanced functions and write SQL programs for data extraction. Modify existing programs for data extraction
  • Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
  • Use existing insights, and develop an understanding agenda to unearth new ones, to drive the product strategy
  • Provide tactical engineering systems development guidance by bridging lower level NLP system components' performance to higher level product performance
8

Skills For Data Scientist / Analytics Resume

  • Proficiency in building optimization and simulation models
  • Enthusiastic about learning new technologies and be able to implement solutions
  • Master in Computer Science, Computer Engineering, Statistics or Mathematics
  • Fluency in R, Python, Matlab or a similar modeling language
  • Leading technical teams
  • Help advocate for Etsy’s data-driven decision-making process internally and externally
  • Act as managing analyst for large projects and proactively identify topics for decision support analysis
  • Develop and maintain in conjunction with IT enablement areas performance reporting and dashboards
  • Assist in training new team members on analytical tools and techniques; provide guidance and review work of team members
9

Skills For Data Scientist, Analytics, University Grad Resume

  • Knowledge of large-scale classification techniques, from data generation, to their use in learning systems
  • Collaborates on the purchase, testing and implementation of data management/analysis applications and systems
  • The Data Scientist, Analytics (Integrity) role has work across the following four areas
  • Collaborate with engineering to establish data pipelines and data hygiene
  • Create dashboards and reports that provide ongoing insight to business stakeholders
  • Translate quantitative data into actionable recommendations and communicate to sales and marketing partners
10

Skills For Cyber Security Data Scientist / Analytics Resume

  • Prepare communication materials for Ecosystem and Ventures Lead and executive stakeholders
  • Develop Specific Materials for Program communications
  • Produce Ecosystem and Ventures Analytics success stories
  • Address and engage with engineers as well as senior executives within operator organization
  • Committed to deliver the solutions and business benefits sold to the operator

List of Typical Responsibilities For a Data Scientist, Analytics Resume

1

Responsibilities For Data Scientist Analytics Resume

  • Work on multiple tasks/projects simultaneously
  • Communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product
  • A MSc or PhD in Computer Science, mathematics, statistics or another relevant area
  • Hands-on experience with data analysis techniques (such as clustering, statistical analysis, pattern recognition, data integration, data modeling, classifiers and recommenders)
  • Communicate the results of analyses with product and leadership teams to influence the strategy of the product
2

Responsibilities For Senior Data Scientist Analytics Resume

  • Proven experience interpreting, and explaining core descriptive and inferential statistical techniques (hypothesis testing, distribution types and implications, etc.) to a non-technical audience
  • Detailed understanding of widely used Machine Learning algorithms (Supervised/Unsupervised), including Regression (linear/logistic), clustering, and Decision Trees
  • Strong proficiency in Microsoft Suite (Excel, Powerpoint, etc.)
  • Statistical expertise - advanced knowledge and implementation of both common statistical techniques as well as more advanced (Bayesian, measures of distance in mathematical space, dimensionality reduction - PCA/MDS, etc.)
  • Substantial experience as a Software Development Engineer, Data Engineer, Business Intelligence Engineer or Data Scientist
3

Responsibilities For Data Scientist / Analytics Architect Resume

  • Experience in technical leadership role
  • Identify actionable metrics to understand the performance of products and algorithms, develop dashboards and/or reports to track performance, and ingrain these metrics into teams’ day-to-day decision-making
  • Handle multiple tasks concurrently and meet deadlines
  • A passion for innovative ideas
  • Three years’ experience in quality reporting, database ETL operations, statistical computer programming, and/or functional/object-oriented computer programming desired
4

Responsibilities For Data Scientist, Analytics Office Resume

  • Experience leveraging patient-level healthcare data (including claims, EHR, etc) to support commercially oriented business questions including forecasting and segmentation
  • Extracting, cleaning, and aggregating large data sets from a variety of sources, both structured and unstructured. This can include sales data from the largest of companies, to the ever growing variety of data that social and digital media activations generate
  • Implementing a variety of fundamental statistical techniques as well as new-age algorithmic approaches, including supervised and unsupervised learning methodologies
  • Formulating optimal testing approaches and conducting experiments to improve creative messaging, media delivery, and platform-specific best practices
  • Use data to proactively identify new opportunities
  • Focus on solutions directly related to business issues such as marketing ROI, forecasting, brand consideration, media attribution and consumer engagement
  • Oversee implementation of targeting, measuring incrementally, attribution and statistically based optimization; can assist business teams in understanding the results and guide implementation of the recommendations/outcomes of the modeling efforts
5

Responsibilities For Data Scientist, Analytics Specialist Senior Resume

  • Willingness to travel to customer premises
  • High tolerance for stress and uncertainty
  • Able to work and manage across multi-national organization
  • Ad Hoc Communications
  • Obtains Data – Utilizes SQL to mine appropriate data elements from the various clinical database systems. Cleans, transforms, and transmits data – Parses, validates, and scrubs data of widely-differing formats. Assures integrity of clinical data as it is transmitted from system to system and/or system to database, ensuring transnational accuracy, completeness, and timeliness

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