Scientist Analyst Resume Sample
Bruce Heidenreich
320 Farrell Viaduct,
Dallas,
TX
+1 (555) 234 7111
Work Experience
Senior Data Scientist / Analyst
05/2017
-
PRESENT
Detroit, MI
- Familiarity with database modeling and data warehousing principles with a working knowledge of SQL
- Contribute to a collaborative work environment
- Passion for learning and trying new ideas
- Analyze complex systems and interactions
- Define and maintain data or information standards by researching and analyzing business requirements with stakeholders in order to achieve consistent information for decision-making across the Coca-Cola business system
- Evolve, plan or execute the strategy for data standards that support TCCC information strategies and Corporate reporting requirements in order to maximize information as an asset for strategic decision making, meeting regulatory requirements and meeting legal considerations
- Maintain data in business applications including execution of data loads from third parties and other business applications in order to provide complete information to business application users
Data Scientist / Analyst
08/2012
-
03/2017
San Francisco, CA
- Provide data standard expertise (i.e., application of business knowledge and understanding of the impact of data-standardization) in order to provide practical and timely approach for ongoing implementation of standards in business initiatives and strategic systems
- Experience with machine learning, data mining, statistics, or graph algorithms
- Knowledge of machine learning, data mining, statistics, or graph algorithms
- Knowledge of using R, Perl, Python, SAS, or SPSS for data analysis
- Develop subject matter expertise on assigned analytical techniques
- Take an active role in Lean & CI, identify and drive improvement initiatives
Scientist Analyst
01/2009
-
03/2012
New York, NY
- Conduct proactive in-depth analysis and modelling to uncover hidden opportunities for product improvement; communicate insights to product, business and management teams
- Work with product & business teams to collect requirements and define goals for ad-hoc analysis, execute & present findings
- Build and maintain complex statistical models that learn from and scale to millions of users
- Strong work experience in a similar role at a top gaming, internet or technology company
- Excellent SQL skills; extensive experience querying large, complex data sets & proven ability thrive with multiple imperfect, mixed, varied, and inconsistent data sources
- Good client management skills with a strong grasp of creative, technical and business issues and demonstrated ability to synthesize inputs into clear, impact research
- Proven ability to work in a fast-paced environment and to meet changing deadlines and priorities on multiple simultaneous projects
- A self-starter w/ high level of comfort & enjoyment working in both individual and team settings
- Develop models to support forecasts and scenario analyses for demand, pricing, volume, and product and technology development with considering the macroeconomic and automotive environment
Education
Columbia University
2003 - 2008
Master's Degree in Analytics
Professional Skills
- Over 3 years of practical hands-on work experience using Data Science methodologies and tooling outlined under “Required Skills” in this requisition
- Excellent pattern recognition and predictive modelling skills
- Experience as a Trusted Advisor demonstrating presentation skills and the ability to communicate with client management and executives
- Demonstrated skills in large scale data manipulation, and mining/pattern recognition
- Demonstrated communication and interpersonal skills across all corporate and industry levels
- Proven cross-functional team and project leadership skills, and ability to work independently
- Strong programming skills in SAS, R, and/or MATLAB
How to write Scientist Analyst Resume
Scientist Analyst role is responsible for research, database, sql, manufacturing, training, integration, java, architecture, reporting, design.
To write great resume for scientist analyst job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Scientist Analyst Resume
The section contact information is important in your scientist analyst 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
- Telephone number
Work Experience in Your Scientist Analyst Resume
The section work experience is an essential part of your scientist analyst 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 scientist analyst responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular scientist analyst position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Scientist Analyst resume experience can include:
- Gather data using various sources and platforms (Web, PC, Mainframe, Unix/Linux, Teradata); explore new, consumer-related data sources; assess and analyze consumer data by working directly with data sources and various Ford business units
- Good to very good SQL skills (e.g. Teradata, MySQL or HIVE)
- Very good communication and presentation skills in English and ideally also in German
- Experienced software development lifecycle skills, including requirements gathering, agile methodology, and testing/profiling
- Prior experience with data visualization and reporting techniques
- Experience in Microsoft office products, including creating and manipulating pivot tables and graphs
Education on a Scientist Analyst Resume
Make sure to make education a priority on your scientist analyst resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your scientist analyst 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 Scientist Analyst Resume
When listing skills on your scientist analyst 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 scientist analyst skills:
- BA/BS or equivalent experience and 12+ years of prior relevant experience or Masters with 10+ years of prior relevant experience
- Excellent communication skills – adept at communicating with business and technical stakeholders
- Excellent client interaction, problem solving & communication skills
- Strong problem-formulation and problem-solving skills
- Advanced skills/expertise in data mining, natural language processing (NLP), and/or distributed computing
- Organizational, communication, writing and interpersonal skills
List of Typical Experience For a Scientist Analyst Resume
1
Experience For Data Scientist / Analyst Resume
- Some experience with analyzing SEM, SEO, onsite, email, display and other performance marketing channels
- Experience working with moderately complex, medium to large-scale data sets in an advanced data mining analytic role
- Practice experience with SAS, ETL, data processing, database programming and data analytics
- Specialized experience innovating analytical techniques and performing analytical functions
- Related work experience in synthesizing customer requirements and producing outcomes
2
Experience For Data Scientist Analyst Resume
- Experience working with version controlling in a team environment
- Experience in SQL Query optimization, profiling and performance tuning
- Experience performing data manipulation and pattern analysis
- Some experience with machine learning
- Ideally experience with a dashboarding in R or Tableau
- Understanding of core concepts in Natural Language Processing (NLP) and Natural Language Understanding (NLU)
- Developing our multivariate consumer behavioural and attitudinal models
3
Experience For Senior Data Scientist / Analyst Resume
- Handles technical problems without prompting, acting on own initiative and leveraging network relationships to get things done with minimal escalation
- Analysis and modelling of a range of research data sources including the British Crime Survey, Understanding Society, Financial Research Survey and others
- Enthusiasm for statistical and predictive modeling techniques such as GLM, Machine Learning, SVM, Decision trees, Clustering, etc
- Provides expertise and support when implementing model results in Waste Management's ongoing business processes
- Develops business methods and procedures (including accounting systems, file systems, office systems, logistics systems, and production schedules)
- Create data-driven decisions and create plans executing/installing decisions
- Responsible for discovering and curating data sources
- Research, design and develop applications using the best practices
- Collaborate in deploying systems that drive improved margins, increase hydrocarbon production, improve safety, etc
4
Experience For Big Data Senior Scientist / Analyst Resume
- Expertise in applying statistical analysis
- Overhead work (time sheets/training departmental meetings etc.)
- In a research/analytical role and at least 2 years of which in a non-academic setting
- Familiarity with data mining and visualization tools
- Achieve a deep understanding of customer data and data relationships
- Basic understanding of Big Data ecosystem and enterprise data architectures
5
Experience For Data Scientist\analyst Resume
- Support delivery of short-term and ad hoc requests in a timely manner
- Consistently provides Subject Matter Expertise consultation regarding the assigned Technology Platform(s), both in terms of providing a deep understanding of the platform’s tech stack, as well as best ways to leverage the platform’s capabilities
- Continually learning new methods, practices, techniques and technologies that enhance the Technology Platform, routinely making suggestions that increase the platform’s effectiveness
- Shapes, develops, and aligns the strategies of the department to capture emerging trends, address competitive threats, meet market needs, provide value to the customer, and enhance business value
- Analyze and model structured and unstructured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research
- Utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, SAS, Python, Spark, Hadoop, MicroStrategy and Tableau
- Performs data analysis; develops algorithms and computational solutions as necessary to support the business units of the organization
- Ensures data quality and reliability and provides feedback to business process owners, leadership, and to the IT department
6
Experience For Senior Data Scientist / Analyst Marketing Resume
- Collaborates with leadership to identify, define, and solve a variety of problems and support various corporate initiatives
- Develop Windows based and Web based solution, Web Service and Dashboard solutions using Reporting and Business Intelligence (BI) tool and perform data operations in Oracle, SAS, SQL server
- Take ownership of the machine learning algorithms and continue frequent updates
- Web services and version control
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
- Educate internal HITACHI VANTARA Partners and Associates on HITACHI VANTARA's IoT–IIoT Strategy and Capabilities
7
Experience For Integration Services Data Scientist / Analyst Resume
- Design client’s IoT–IIoT, Business Intelligence and Data Architecture
- Understand the objectives, scope and context of the three related projects
- Learn how to acquire and format the relevant in-house data
- Develop the relevant metrics in the data for analysis
- Work with a cross-functional team to build the relevant technical and analytical infrastructure
- Explore and examine data from multiple diverse data sources
- Understand and work around limitations in analytic models
- Data cleanup, normalization and transformation
8
Experience For Data Scientist Analyst Senior Resume
- Process optimization design based on historical data
- Discover hidden insights/embedded patterns and enable business stakeholders to make more informed decisions
- Help build workflows for extraction, transformation and loading of different data from a variety of sources and enable linking them to existing systems and datasets
- Some experience with web and app analytics (e.g. Google Analytics)
- Experience with healthcare and healthcare systems
- Pharmaceutical industry data analysis experience
- Record of professional success, demonstrated through above-average performance
9
Experience For Master Ibm-data Scientist / Analyst Resume
- Develop and implement cyber intelligence feed quality analysis metrics
- Improve false positive detection rates
- Expertise in data analytics and data visualization
- Consulting with local public affairs, communications and policy teams around the world on a variety of data research projects using Uber’s rich data and a variety of external data sources
- Monitoring, analysis and deployment of the Dragon Medical One cloud
- Segmentation of individuals and local areas
- Experience with working as part of an integrated solutions development team to provide value to systems engineering and development for specific decision support application
- Present, communicate and articulate complex information to technical and non-technical audiences
10
Experience For Senior Data Scientist Analyst Resume
- Develop Solution Prototypes, Proof-of-Concepts, and large-scale projects directly related to IoT–IIoT client opportunities
- Capture and share best-practice knowledge amongst the HITACHI VANTARA solutions architect community
- Recognized industry thought leader
- Articulate the value proposition of a solution as well as its component parts and technological benefits
- Collaborate and communicate effectively with enterprise architects, service engineers, developers, product management and sales in order to build deployable IoT–IIoT solutions
List of Typical Skills For a Scientist Analyst Resume
1
Skills For Data Scientist / Analyst Resume
- Skills in mobile technology and mobile applications development
- Experience working in a Hadoop environment (Cloudera, Hortonworks, or equivalent), including proficiency with Pig, Hive, and Spark
- Experience with parallel/grid computing and programming in a variety of software platforms
- Experience working in UNIX/Linux and distributed computing environments
- Experience working in a field related to statistics or data mining
- Experience doing quantitative analysis
- Experience in any scripting language (Hadoop, R, SAS Miner, Python, Matlab, SSPS)
2
Skills For Data Scientist Analyst Resume
- Performs experimental design approaches to validate findings or testing hypothesis which provide business value
- Experience with tools such as Hadoop, Alteryx, QlikView, Apache, Spark, Caffe or other deep-learning libraries
- Three to five years of specific skill team (Purchasing, Supply Chain) or Data Analytics/Data Operations work
- Experience conducting complex statistical analyses in a business or academic environment
- Experience with NoSQL databases (MongoDB, Elasticsearch, or similar)
3
Skills For Senior Data Scientist / Analyst Resume
- A chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition
- At least three years of research experience in a business or academic environment
- Experience with data visualization techniques and software, such as Qlikview and Tableau
- Expertise in an analytical language Python, R, or the equivalent), and preferably experience with databases (Hive, SQL, or the equivalent)
- Experience estimating effort based on business requirements
- Experience in developing a custom application (web based or other)
- Experience with Machine Learning, Artificial Intelligence, or related discipline
4
Skills For Big Data Senior Scientist / Analyst Resume
- Experience with programming and data tools such as R, Python, SQL Server, etc
- Working experience with big data systems
- Cloud computing experience: Platform-as-a-Service, Infrastructure-as-a-Service, Data-as-a-Service
- At least five years of working experience with big data systems
- Extensive experience with Object-Oriented Programming
- Experience in process analysis and ability to develop processes and methodologies
- Professional experience
5
Skills For Data Scientist\analyst Resume
- Experience with financial systems, audits, and financial controls
- Experience manipulating data sets using statistical software such as: R, Matlab, SAS, Fortran, Numpy, Scipy, Pandas
- Experience with working in an Agile \ DevOps development methodology. Familiarity with tools such as JIRA, GitHub, etc
- Experience with JavaScript-JSON-JQuery/HTML5/CSS/AJAX, MVC Architecture, and SQL
- Experience with data visualization libraries
- Experience in R, Python, SAS, SQL or Matlab
- Data modeling experience for RDBMS
- Proven track record at managing multiple projects in fast paced cross-functional team environment
- Experience in data science or a related field
6
Skills For Senior Data Scientist / Analyst Marketing Resume
- Bringing analytical and empirical rigor to the thorny policy challenges impacting Uber globally, using quantitative methods
- Programming and scripting of algorithms, techniques and data processing & analysis
- Understanding of statistics (e.g., hypothesis testing, regressions, etc…)
- Documenting the types and structure of the business data (logical modeling)
- Analyzing and mining business data to identify patterns and correlations among the various data points
- Mapping and tracing data from system to system in order to solve a given business or system problem
- Supporting the path towards predictive analytics, ensuring data management to provide detailed analysis to support business
- Building IoT–IIoT Strategy and providing thought leadership with our clients and internal HITACHI VANTARA stake holders
- Acting as the data steward to ensure that all information utilized adheres to compliance, access management, and control policies
7
Skills For Integration Services Data Scientist / Analyst Resume
- Designing IoT–IIoT Strategy and Hybrid IoT–IIoT/Cloud Management solutions for our clients
- Researching data sources
- Migrating systems to new technologies
- Proficiency at transforming data, data classification and translations, as well as resolving data quality and data cleansing
- Provides on-going tracking and monitoring of performance of decision systems and statistical models
- Design and create data reports and reporting tools to help business executives in their decision making
8
Skills For Data Scientist Analyst Senior Resume
- Conceptual modeling, statistical analysis, predictive modeling and optimization design
- Hypothesis testing: being able to develop hypothesis and test with careful experiments
- Expertise in applying machine learning algorithms
- Study decision making algorithms and apply them to experimental data to develop tools for biopharmaceutical molecule ranking and risk assessment
- Use data handling & processing techniques and statistical analysis to extract and analyse data
9
Skills For Master Ibm-data Scientist / Analyst Resume
- Use machine learning and statistical modelling algorithms to build predictive models of protein properties
- Author or otherwise contribute to HITACHI VANTARA client-facing publications such as whitepapers
- Act as a technical liaison between clients, service engineering teams and support
- Positively interact with all levels within the client base from executive management and sales to hardware & software engineering
- Proficiency with a scripting language (R, Python, or equivalent)
- Knowledge in SQL or other programming languages
10
Skills For Senior Data Scientist Analyst Resume
- BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field
- Ph.D. in Economics or other quantitative field, such as Physics, Mathematics, Statistics, Computer Science, or Marketing
- Design custom web pages, create analytical reports in BI tools, access data from existing Oracle, SQL Server, and SAS databases
- Prepare test case and perform n-unit testings in coordination with business owners and be able to test the applications before deploying in production
- Research and develop statistical learning models for data analysis
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Prepare and present proposals for IoT–IIoT solutions that satisfy client business goals and objectives applying innovative edge to cloud solutions
- Conduct the Machine Learning analytics in conjunction with the outside consultants
List of Typical Responsibilities For a Scientist Analyst Resume
1
Responsibilities For Data Scientist / Analyst Resume
- Excellent research, analytical, written and oral communications
- Knowledge of theoretical/empirical techniques commonly used in industrial organization (e.g. game theory, contract theory, oligopoly theory)
- Formulate business problems into an appropriate research framework, interpret the analytic results, and translate the complex quantitative methods and results into easily understood products for all levels of business customers
- Data driven; strategic thinker; results and customer-oriented
- Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy
- Experience developing IoT–IIoT solutions and utilizing code tools like MQTT, AMQP, CoAP, Websockets, JSON/XML APIs, SOAPwith an understanding of technologies used in IoT–IIoT like RFID, Bluetooth LE, Zigbee, SigFox, LoraWAN, CoAP, SCADA
- Lead the design and development work of data models in IoT–IIoT solutions for our clients
2
Responsibilities For Data Scientist Analyst Resume
- Analytics/Architectural tools & Others: Cognos, OBIEE, Erwin, ER Studio, MEGA tool, AutoSys, PVCS, Harvest, HP Quality Center, iCMM Configuration Manager, Microsoft Office Suite. Abreast of current developments in Big Data Analytics
- Document and articulate complex customer problems and challenges in a manner that allows research techniques to be successfully applied
- Create and maintain productive relationships with customers and stakeholders
- English – Upper intermediate (B2 or better), spoken and written
- The position is suitable also for graduate
- Develops Self and Others: Develops self and supports others’ development to achieve full potential
3
Responsibilities For Senior Data Scientist / Analyst Resume
- As Business Analyst/Data Scientist
- Understanding of applied mathematical and statistical techniques such as: hypothesis testing, ROC, Texas ratio, regressions (multi-variable, logistic, probabilistic), Support Vector Machines, Bayes’ Theorem
- Proficiency in analysis (e.g. R, SAS, Matlab) packages, programming languages (e.g. Java, Python, Ruby) as well as the ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing and distributed databases such as Hadoop, Google BigQuery SQL and Solr
- Able to work with global team and offshore resources in developing countries
4
Responsibilities For Big Data Senior Scientist / Analyst Resume
- ) Significant client exposure
- Identifies internal and external data sources and enables skill teams (Purchasing/Supply Chain) and analytics teams to leverage the data with their analytic tools to answer their key questions
- Collaborates with IT teams to support data collection, integration, and retention requirements based on the input collected with the business
- Models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions
- Works closely with different teams to solve problems related to client analytics
- Improves department results through innovation
5
Responsibilities For Data Scientist\analyst Resume
- Core technologies are SAS, Python and Oracle within Unix and MS Windows
- Other technologies used include Visual Studio Code, Power BI, MS Excel, SQL developer, git, MS Project and CACI’s InSite GIS
- Comfortable as an individual contributor to team activities
- MS Word, MS Excel, MS Power Point
- Data structures such as: JSON, XML, RDF
6
Responsibilities For Senior Data Scientist / Analyst Marketing Resume
- Well-organized, flexible, adaptable, clear thinker able to work across all levels within HITACHI VANTARA and client organizations
- Intermediate design and use of relational databases including experience working with working knowledge of dimensional modeling, star schemas and working with time-series data
- Big data experience
- R or SAS programming
- Close collaboration on IoT–IIoT solutions and trends with HITACHI VANTARA and client Subject Matter Experts, IoT–IIoT Business Development Managers, Social Innovation leaders, field teams, and HITACHI VANTARA partners including OEM's, service and manufacturing enterprises, system integrators, solution integrators, solution providers, ISV’s and service providers
- Expert-level hands-on experience in data integration tools that includes ETL tools (DataStage, Informatica, Microsoft SSIS, Ab Initio); RDMBS (Oracle, DB2, Teradata, Sybase, MS-SQL); scripting languages (Unix shell-scripts, Perl, PHP, dos-batch); job-scheduling; and version control/change management tools. Experience in backend support and performance-tuning of many of these tools
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