Senior Scientist, / Senior / Scientist Resume Sample

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Work Experience

Senior Applied Data Scientist
11/2017 - PRESENT
Houston, TX
  • User/query intent understanding, document/ad understanding, user targeting
  • Relevance modeling, IR-based ad retrieval
  • Marketplace mechanism design and optimization, and whole-page experience optimization
  • Rich and innovative Ad products that add relevant and personalized information
  • Network protection, fraud detection, traffic quality measurement
  • Advertising metrics and measurement, including relevance and ad campaign effectiveness
  • Ad campaign planning and optimization
  • Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis Scientist
12/2012 - 10/2017
Philadelphia, PA
  • Design and develop a NLU system for handling various user media requests
  • Bring-up code/systems in lab and test software builds
  • Work closely with research scientists to implement and contribute to patentable ideas
  • Advances the group’s capability by in-depth research, innovation and continuous improvement
  • Provides oversight, coaching & management to more senior individual contributors (e.g. Analysts, Data Consultants, Senior Market Strategy Consultants I, Senior Market Strategy Consultants II, and Senior Data Consultants)
  • Interacts with top company leaders to develop scientific strategy. Oversees execution of strategy. Leads strategic initiatives and solutions and oversees implementation. Works closely with site management to optimize requirements of both client and site for portfolio of projects
  • Oversees and approves proposal development. Leads meetings/teleconferences with clients
  • Leads development of methods and processes that meet or exceed the expectations from clients and provide innovation as necessary
Senior Applied Data Scientist
11/2010 - 11/2012
Boston, MA
  • Leads a team over multiple projects; manages team's project timelines and deliverables; reviews group's financials
  • Guides and advises during implementation of new methodologies and processes
  • Directs resolution of problems related to the conduct of chemical experiments
  • Liaises with internal scientific, analytical, and laboratory functional areas to meet project and team objectives
  • Applied analytical DBM/CRM work experience
  • SAS programming skills are essential
  • SQL and Microsoft Office proficiency


Washington State University Vancouver
2006 - 2010
Science's Degree in Computer Science

Professional Skills

  • Strong written and verbal communication skills, presentation skills, and ability to manage multiple tasks Recruiter: Howard Fishman
  • Strong experience in consulting or product development with a strong experience in data science
  • Strong research design, analysis, reporting, and problem-solving skills
  • Strong programming and prototyping skills in R or MATLAB
  • Excellent understanding of, experience with and demonstrated success in modern scientific research methods
  • COMPUTER SKILLS: Extensive experience with Microsoft tools (Word, Excel, and PowerPoint)
  • Demonstrated industry experience, with a proven track record of delivering NLU solutions

How to write Senior Scientist, / Senior / Scientist Resume

Senior Scientist, / Senior / Scientist role is responsible for software, research, technologies, programming, modeling, design, analysis, training, database, refining.
To write great resume for senior scientist, / senior / scientist job, your resume must include:

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

Contact Information For Senior Scientist, / Senior / Scientist Resume

The section contact information is important in your senior scientist, / senior / scientist resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Senior Scientist, / Senior / Scientist Resume

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

Representative Senior Scientist, / Senior / Scientist resume experience can include:

  • Leadership / implementation of process validation projects to support the site validation program. Generation of process validation protocols and reports
  • Strong organizational and project management skills, including the ability to manage multiple projects simultaneously
  • Excellent communication skills, including the ability to take complicated technical subject matter and make it understandable to all audiences
  • Strong verbal and written communication skills to present analysis and insights including trends and opportunities to stakeholders and the business
  • Experience in learning engineering, learning experience design, instructional design, or related field
  • Skills with Java, C++, or other programming language, as well as with Python, R, or similar scripting language

Education on a Senior Scientist, / Senior / Scientist Resume

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

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school

These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Senior Scientist, / Senior / Scientist Resume

When listing skills on your senior scientist, / senior / scientist resume, remember always to be honest about your level of ability. Include the Skills section after experience.

Present the most important skills in your resume, there's a list of typical senior scientist, / senior / scientist skills:

  • Effectively manages sensory budget to address and prioritize both immediate and forward-looking strategic needs
  • Strong oral and written communication skills, fluent in English and Chinese
  • Strong communication skills and the ability to relay and simplify complex concepts
  • Strong organization and time management skills with the ability to multi-task and attention to detail
  • Strong communication skills and the ability to relay and simplify complex concepts for diverse audiences
  • Excellent written, oral, presentation, and interpersonal skills

List of Typical Experience For a Senior Scientist, / Senior / Scientist Resume


Experience For Senior Applied Data Scientist Resume

  • Experience and strong understanding of omics – Proteomics, Metabolomics, etc.
  • Experience deploying and monitoring predictive models
  • Experience implementing machine learning algorithms in a production environment,
  • Experiences with Machine Learning, Semantic Web, Knowledge Graph and Data Science, and Natural Language Processing
  • Data mining and analytics experience using big data technologies
  • Experience in MapReduce programming with Spark and Hadoop Distributed File System (HDFS) and with processing large data stores

Experience For Senior Sensory Scientist Resume

  • PhD with academic experience in machine learning or deep learning or NLP
  • Solid background in statistical learning techniques for NLP (Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs etc)
  • Experience in Python or a scripting language (Perl , etc), Matlab, or R
  • Understanding of plastics processing techniques, including extrusion, calendering, and non-woven fiber production
  • Responsible for planning and conducting investigator’s meetings

Experience For Senior Software Scientist Resume

  • Design and develop innovative predictive models for applications like matchmaking, recommendation systems, targeted marketing, etc
  • Expertise in automating and deploying models in production systems
  • Work on training and refining various models to attain a high bar of required specificity needed in healthcare
  • Assist in project groups to answer emerging organization questions requiring in-depth analytics
  • Extract actionable insights from big unstructured datasets which we have access to, by using advanced machine learning methods
  • Extensive knowledge of Machine Learning and Deep Learning tools and concepts
  • Monitor trends in Machine Learning, Deep Learning and NLP to influence the solutions within all Wolters Kluwer divisions

Experience For Senior Learning Scientist Resume

  • Appropriately deliver existing analytic methods and tools; applying theory to practice
  • Responsible for solution and code quality including providing detailed and constructive design and code reviews
  • Manage budgeting and scheduling of sensory capabilities
  • PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, Physics or a relevant science/engineering discipline
  • Mentor PhD data science interns on model design, feature building, model evaluation and deployment
  • PhD from a top-tier university with a specialization in Machine Learning, Statistics, Applied Math, or in a related quantitative field
  • Able to invent and prototype novel machine learning algorithms from scratch

Experience For Senior Consultant, Data Scientist Resume

  • Proficient with programming languages like Python, Java or C++
  • Learn fast through hands-on rapid prototyping of 3rd party software, both commercial and Open Source, and proprietary development
  • Assess various machine learning frameworks and packages
  • Monitor trends in Machine Learning and NLP to influence the solutions within Wolters Kluwer Health
  • Understands and applies multivariate statistical methods to gain deeper understanding and insights from research conducted
  • A track record of achievement and delivering on significant responsibilities in a timely fashion
  • Comfortable working within an international team and in a dynamic, flexible environment
  • Identify cutting edge algorithmic solutions available in AI domain that might be applicable to our business problems
  • Customize the best practices in industrial techniques toward using Big Data tools and Data Science for our projects in Innovation Lab

Experience For Senior Consumer Scientist Resume

  • Communicate prototype results in an actionable form, including lessons learned and next steps for technical teams in the AI CoE and other technology groups
  • Drive consumer product quality on existing products
  • Work collaboratively with R&D, Marketing and Consumer Insights to translate sensory insights to influence important decisions within specific initiatives
  • Contribute to Consumer Science Team goals by participating on teams where new methodologies and capability are evaluated, proposed and implemented
  • Develop, deploy, and implement predictive models and protocols for mining production data sources
  • Help establish standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams
  • Lead data science consulting engagements on the ground
  • Design, code and implement machine learning and AI solutions for production deployment

Experience For Senior Data / Research Scientist Resume

  • Execute market strategies for products in alignment with business objectives in the agriculture, nonwoven fiber, and packaging industries
  • Develop analytical strategies for business by leveraging the right analytical techniques and technologies
  • Deep understanding of Optical technologies, DWDM, and modern data center architectures
  • Selection and development of models using a variety of techniques and toolsets
  • Build functional proofs of concept
  • Expertise in machine learning and statistical analysis approaches such as classification, clustering, regression, statistical inference, collaborative filtering, natural language processing, experimental design, social networking analysis, etc
  • Expertise with SQL, MPP and NoSQL databases
  • Expertise with Big Data and Hadoop tech stack (HDFS / Map Reduce / Mahout / Hive / Spark)
  • Work closely with various industry and functional teams to incorporate cognitive and advanced analytics models and algorithms into KPMG’s solutions and offerings to its clients

Experience For Senior Customer Data Scientist Resume

  • Algorithm development and optimization, working with software engineers to implement and productize the models and algorithms, engage in project specific activities as part of product development, as well as perform cognitive research and development (R&D) work, develop tools and assets to support advanced cognitive development tasks
  • Demonstrated expertise with analytics and cognitive engagements across strategy, design and implementation
  • Develop and evaluate text analytics, statistical models and computational algorithms to improve the value of Pearson products, services and processes
  • Investigate and analyze information to identify patterns and visualize trends on customers’ reported issues and influence our data-driven analytics strategies on the next generation of support systems
  • Harnessing knowledge of customer use cases and bioinformatics skills, develop innovative ideas and technologies to significantly improve Thermo Fisher Scientific’s software products
  • Text Mining and Sentiment Analytics
  • Lead research and development initiatives
  • Provide scientific expertise particularly in the areas of omics, chemistry and mass spectrometry as needed by the project

Experience For Senior Managing Data Scientist Resume

  • Hadoop, MapReduce, Hive, Pig, Spark
  • Work collaboratively with other members of the Lab and product partners to advance the goals of the Lab
  • Contribute to the direction to the corporate Advanced Analytics team. Assist the Executive Director, Advanced Analytics in setting the team goals and research agenda. Help develop a team comprised of computational scientists, engineers and statisticians
  • Serve as a key contributor to the development of new analytics products and strategies supporting the enterprise. Develop product, business and process models, and identify/leverage new data sources
  • Engage as a key member of the applied data sciences team
  • A self-starter who can align the technology with the overall product strategy
  • Develop novel algorithms and models in the medical domain in collaboration with clinicians, product managers, and software engineers
  • Develop models to infer or predict disease conditions with a high level of accuracy

Experience For Senior Data Scientist, Business Intelligence Resume

  • Lead and conduct consumer science projects by designing researching projects to produce good quality, actionable data and interpreting results to reporting/presenting findings and making recommendations
  • Lead category appraisal and studies including the statistical principles applied
  • Harness knowledge of customer use cases and bioinformatics skills, develop innovative ideas and technologies to significantly improve Thermo Fisher Scientific’s software products
  • Develop and execute a vision for scaling our algorithms to improve performance
  • Design, develop, optimize, and validate robust algorithms for the analysis of mass spectrometry data and the development of prototypes for demonstrating the application of these algorithms
  • Act as a mentor with senior level skills to the software development team providing direction on the product and verifying that the product meets customer’s needs

List of Typical Skills For a Senior Scientist, / Senior / Scientist Resume


Skills For Senior Applied Data Scientist Resume

  • Effectively balances hybrid research approaches with existing knowledge to quickly deliver actionable guidance for R&D
  • Integrate sensory with consumer data to create delightful holistic experiences for consumers by elevating the sensory experience of our products
  • Collaborate effectively with other data sciences teams to align on direction and leverage existing tools and knowledge
  • Proven ability to rapidly prototype and demonstrate analytic solutions and algorithms
  • Collaborate effectively with other data sciences teams across Wolters Kluwer to align on direction and leverage existing tools and knowledge
  • To produce good quality, actionable data, interpreting results, reporting/presenting findings, making recommendations and contributing to decision making
  • Assist in coaching and training less senior analysts in targeted marketing and customer analytics and assist in the developing of effective presentations
  • Experience in developing and deploying optimal risk-based decision tools
  • Strong attention to detail and a feeling of pride and ownership over the quality of HMH research-based products and student- and teacher-facing applications

Skills For Senior Sensory Scientist Resume

  • Experience with designing learning environments
  • Proven ability to lead projects, including cost, resource, and schedule management as well as compliance and reporting
  • Digital analytics experience using tools such as Google Analytics, Adobe Omniture, and social media monitoring
  • Develops strong partnerships with Product Development, Consumer Insights, Marketing and External Research Vendors, as well as Culinary, Packaging, and Quality
  • Demonstrates holistic thinking, strategic agility and leadership within all levels of the organization

Skills For Senior Software Scientist Resume

  • Experience in developing credit models and/or analytics to support credit strategy
  • Experience using credit bureau data to develop credit models
  • Experience in a Learning Sciences (or related) position
  • Deep knowledge of and experience with assessments and testing (particularly formative assessment systems)
  • Focused on many projects at once and prioritizes based on strategic importance
  • Industry experience in quantitative Image Quality
  • Experience in software development

Skills For Senior Learning Scientist Resume

  • Experience in data science, BI and related topics
  • Experience with containerized solutions
  • Experience with DevOps, continuous integration, test automation, Git flow
  • Experience with XML, XML Schema, XSLT
  • Experience in a data analytics role is required
  • Good programming know how with either C++ and or C#
  • Experience in the In Vitro Diagnostics/Medical Device Industry
  • Approximately 3-6 years of relevant industry experience

Skills For Senior Consultant, Data Scientist Resume

  • Fluent in either Python or R, able to query data using SQL, has experience working with cloud based computing platforms and big data tools
  • Believes in eating one's own dog food and using that experience to drive the creation of exceptional customer facing products
  • Experience in data mining, advanced data manipulation, machine learning and statistical analysis
  • Experience with data visualization and communication projects using software like Tableau
  • Significant Consumer Science experience post graduation
  • Demonstrated ability to function within a team of multiple disciplines
  • Strong research publication record

Skills For Senior Consumer Scientist Resume

  • Experience in Semantic Web technologies
  • Strong knowledge of retail or customer loyalty analytics
  • Work experience in data sciences
  • Experience in team leadership
  • Demonstrated ability to function in multi-disciplinary teams across technology and business

Skills For Senior Data / Research Scientist Resume

  • Work experience in data sciences
  • Experience in team leadership
  • Work in a collaborative team and maintain effective relationships in a matrixed organization
  • Experience with Natural Language Processing and Information Extraction tools and techniques
  • Demonstrates ability to problem solve and develop sensory learning plan

Skills For Senior Customer Data Scientist Resume

  • Demonstrates a deep understanding of key sensory attributes and drivers
  • Experience using SQL querying tools, Microsoft Access or a foundational knowledge of database concepts to facilitate data extraction
  • Leverage business knowledge and judgement to prioritize approaches with a material financial impact
  • Good knowledge of database concepts and SQL
  • Hands on experience with Python, R or Scala, particularly with data science related packages and visualization techniques

Skills For Senior Managing Data Scientist Resume

  • Responsible for prioritization of research dollars with little assistance from manager
  • Understanding of polymer testing techniques, including mechanical and analytical testing
  • Developing and executing a vision for scaling our algorithms to improve performance
  • Sharing knowledge and uplifting capabilities with analysts in the business
  • Data cleansing and profiling using scripting languages, preferably Python
  • 2) design and execute analytics for studying business issues (market research, scenario planning, forecasting, market share, profitability, etc)
  • Drives product quality through product testing guidelines, annual monitoring and in-plant training efforts

Skills For Senior Data Scientist, Business Intelligence Resume

  • Leads optimization and training for one or more major programs (e.g. Product Testing Guidelines, Consumer Quality, Training)
  • Work with a high volume of learning content for multiple projects while being flexible and adaptable, performing multiple tasks concurrently
  • Use statistical methods to test finding through prototyping and scenario testing
  • Proficient in reading and writing Python, Bash, Perl, Ruby
  • Provides training, mentoring and development of subordinate sensory staff positions
  • 3) bring technical/content expertise (competitive intelligence, utilization, financial analysis, market research, deep data analysis & programming)
  • Background in natural language processing and/or machine learning
  • Interest in human cognition, teaching and learning
  • High fluency in using scientific computing tools like Python, R and/or equivalents

List of Typical Responsibilities For a Senior Scientist, / Senior / Scientist Resume


Responsibilities For Senior Applied Data Scientist Resume

  • Strong bioinformatics background and experience developing algorithms for signal processing, statistics, machine learning, data analysis and pattern recognition
  • Develop data science solutions that can cost effectively be leveraged across the organization
  • Lead guidance and validation studies for key innovation priorities
  • Effectively manages sensory budget to address needs for the fiscal year
  • Experience with consumer testing procedures including qualitative and quantitative methods
  • Experience developing production software using agile methodologies

Responsibilities For Senior Sensory Scientist Resume

  • Validate cost savings initiatives to fuel growth
  • Focus on many projects at once and prioritizes with assistance from manager
  • Comfortable with and effective at expressing and exchanging ideas, concepts and designs in a group setting
  • Experience working with languages e.g. Python, R
  • Previous experience developing commercial software products

Responsibilities For Senior Software Scientist Resume

  • Experience with C++, Java or C# and cloud hosted applications (i.e. AWS, Azure)
  • Experience in advanced technical domains, data sciences, various machine learning techniques, and primary project leadership
  • Apply machine learning, Natural Language Processing and AI techniques to extract learnings from available data
  • Expertise in one or more of data science, machine learning, deep learning
  • Understand established mathematical principles and algorithms associated with processing spectroscopic data

Responsibilities For Senior Learning Scientist Resume

  • Perform pre-campaign analytics using primary and secondary data collection methods to determine optimal target and offer selection to achieve strategic objectives
  • Analyze interim and post campaign analytics to measure overall performance and evaluate changes in customer behavior to recommend modifications to drive improved campaign ROI
  • Provide customer insights and in depth analytics on targeted marketing campaigns that are launched across multiple channels
  • Perform data modeling techniques to mine the data warehouse to identify trends that suggest new marketing opportunities and recommend marketing strategies to capitalize on emerging trends
  • Experience with various machine learning techniques
  • Experience or understanding of SNOMED, ICD-10, LOINC, and CPT
  • Experience programming in languages such as Python, R, Java, or C/C+

Responsibilities For Senior Consultant, Data Scientist Resume

  • Experience with engineering cloud-based data science platforms for production solutions
  • Work with IS to identify new data sources and collaborate on bringing data into production environment for use in analytics
  • Familiarity with programming in languages such as Python, Java, or C/C++
  • PhD in Computer Science, engineering, or Mathematics
  • Work with and summarize large volumes of data to address business questions and facilitate in depth customer marketing analytics
  • Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametric methods

Responsibilities For Senior Consumer Scientist Resume

  • Translate classical statistical methods written in SAS, R, and Python into code that can execute using Spark
  • Ph.D. in learning sciences, cognitive science in education, interdisciplinary education research, computer science, educational psychology
  • Expert knowledge in a field related to the learning sciences: cognition, education psychology, human computer interaction, instructional design, etc
  • Expert knowledge of learning in formal and informal contexts
  • Deep knowledge of the role of technology in the support of learning
  • Provide sound instructional design consulting services to subject-matter experts
  • Adept at being creative, flexible, and innovative in solution design
  • Successful history communicating technical information and key ideas to lay and scholarly audiences

Responsibilities For Senior Data / Research Scientist Resume

  • Analyze and model large data utilizing SAS, SPSS, R, Python, etc
  • The role contributes to the planning and implementation of assigned research programs/projects that lead to actionable business results
  • Scientific background one of more of the following disciplines
  • Leads sensory learning agenda to address project objectives
  • Provide ad hoc analysis as needed upon request
  • Work successfully with a variety of software applications including Microsoft Excel, Word, and PowerPoint to produce detailed, accurate and high quality analytics and reporting

Responsibilities For Senior Customer Data Scientist Resume

  • Research and source relevant data from internal business systems, external free and commercial data products
  • Use core AI and Big Data tools to solve business problems
  • Familiar with Spark and Hadoop
  • Work independently with little supervision and also perform well in team projects
  • Engage as a key member of the advanced technology team
  • Rapidly research, experiment and build prototypes using commercial, Open Source and proprietary solutions for machine learning, deep learning and NLP including an assessment of production suitability
  • Identify and drive best practices for data science solutions development
  • A self-starter who can align the technology solution with a business goal
  • Provide sensory support for one or more brands/categories

Responsibilities For Senior Managing Data Scientist Resume

  • Translates consumer expectations to aid in functional product development guidance and optimization
  • Communicates complex sensory insights in a clear and concise manner, both through written and verbal communication and asks the right questions to guide research plan
  • Specification of tests and experimental work to investigate simple to complex technical issues and customer complaints. Analyse results using statistical data analysis and effectively resolves technical problems
  • Lead and conduct single or multi stage large projects, providing key insights of consumer behaviour
  • Lead Category appraisal and Design of Experiment studies including the statistical principles applied as part of the overall research plan
  • Lead the execution of qualitative research with work including leading the design of the research program and all executional elements including Knowledge Mapping, Value Diagramming, Product Labs and subsequent analysis and reporting of results
  • Work with clients, managers and technical staff to understand business needs and develop technical plans to deliver results
  • Learn new analytic methods and tools as needed

Responsibilities For Senior Data Scientist, Business Intelligence Resume

  • Create analytic models and test hypotheses collaboratively in a rapid-paced work environment to meet client needs
  • Strong experience with machine learning algorithms and classifiers such as k-NN, Naive Bayes, SVM, Random Forest, Linear Regression, ARIMA, Neural Nets, Deep learning, etc
  • Familiarity with applied statistics such as probability distributions, measures of dispersion and central tendency, hypothesis testing and statistical inferences
  • Demonstrable experience of delivering a wide variety of machine learning techniques including classifiers, regression, clustering, decisions trees, neural networks, NLP and ensemble techniques
  • Experience with one or more data science toolkits such as R, Python, Matlab, Rapidminer, SAS or SPSS
  • Understanding of data visualization patterns and experience with one or more data visualization tools such as Tableau, R Shiny, Seaborn, MicroStrategy, SAP BusinessObjects, QlikView, etc

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