Data Science Consultant Resume Sample
Alena Jacobs
16818 Lazaro Roads,
Boston,
MA
+1 (555) 940 6999
Work Experience
Senior Data Science Consultant
04/2017
-
PRESENT
Philadelphia, PA
- Participate in the definition of use cases in relation to the Client
- Define the structuring choices of the solution and its architecture in relation to laboratories and prototyping teams
- Implement the solutions in an Agile mode (eg configuration of the algorithms and development of the integration layer)
- Show the progress of the projects through by ad hoc demonstrations
- Share the issues and successes with the teams in a logic of continuous improvement
- Experience in programmatic data analysis tools like SAS, R, MATLAB, SPSS etc
- Proficiency in at least one high level programing languages like Java, Scala, Python, Ruby, C etc
Data Science Consultant
03/2010
-
11/2016
Philadelphia, PA
- Basic understanding of statistical analysis, solid quantitative aptitude, and the ability to gather and interpret data
- Recommends and designs ongoing process improvements, development, implementation and support/troubleshooting as subject matter expert of multiple systems for use by customer service, sales and marketing personnel that are essential to meeting the company’s strategic customer experience, sales and marketing objectives
- Experience in a BI consultant, architect or developer role
- Development experience with BI/analytics platform(s)
- Experience with ETL database functions
- Experience with analyzing data from public biomedical databases, including NCBI’s and primary data archives, including GenBank, SRA, or GEO
- Consulting or industry experience in the data science field
Junior Data Science Consultant
03/2006
-
01/2010
New York, NY
- Proficiency in data wrangling tools like SQL, Hive etc
- Experience in data visualization tools like Tableau, QlikView, MicroStrategy etc
- Experience in big data ecosystems (Hadoop, No-SQL etc.)
- Conceptual and creative problem-solving skills; experience working with considerable ambiguity
- Experience learning new and complex concepts quickly
- Knowledge with Healthcare Payer industry data
- Recognized as an expert in Analytics,
- Progressive consulting or corporate work experience including; analytics, management consulting, sales operations, finance, compensation, or related fields
- Experience in HR analytics (preferably in a technology company) using HR systems and tools such as Workday, Tableau, SAP Hana etc
Education
University of Minnesota, Morris
2001 - 2005
Science's Degree in Statistics
Professional Skills
- Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off and an employee healthcare plan. Learn more about our extensive rewards and
- Strong problem solving ability, broad programming skills and project management skills
- Strong analytical skills, excellent attention to detail and good business judgment
- Collaboration and consulting skills, experience advising clients and delivering training
- Communicate technical concepts and analytics output to a non-technical audience through strong story-telling skills
- Strong programming skills in R, Python, Matlab, other languages considered an advantage,
- Strong proficiency with the Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
How to write Data Science Consultant Resume
Data Science Consultant role is responsible for advanced, microsoft, analytics, analytical, powerpoint, excel, business, programming, database, languages.
To write great resume for data science consultant job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Science Consultant Resume
The section contact information is important in your data science consultant 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 Data Science Consultant Resume
The section work experience is an essential part of your data science consultant 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 science consultant 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 science consultant position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Science Consultant resume experience can include:
- Good hands on-experience using Machine Learning, Statistical Modelling and quantitative analysis
- Proficiency in at least one programing language with demonstrated experience developing technical solutions; Java, C, .NET and/or SQL
- Has experience working with healthcare data, or possesses strong understanding of the healthcare system
- Project management skills and ability to influence cross-functionally in a rapidly evolving business environment while managing multiple / concurrent projects
- Advanced SQL and database handling skills
- Good level of programming experience in at least one item from each
Education on a Data Science Consultant Resume
Make sure to make education a priority on your data science consultant resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data science consultant 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 Science Consultant Resume
When listing skills on your data science consultant 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 science consultant skills:
- Teradata, Greenplum Experience SQL, PL/SQL, Data Modeling, Data Warehousing Concept & SDLC Skills
- 12 to 18 months of IT experience in Programming Skills : Core Java, SQL,Python/R
- Strong verbal and written communication skills and ability to work with non-technical customers
- Excellent written and oral communication skills with the ability to clearly communicate results, concepts and ideas to clients
- Excellent written and oral communication skills with the ability to clearly communicate results, concepts and ideas to non-technical business
- Strong communications and presentation skills at all levels
List of Typical Experience For a Data Science Consultant Resume
1
Experience For Senior Data Science Consultant Resume
- Strong experience/expertize in experimental design, computational analytics, data visualization
- Lead conversations with clients and other stakeholders to effectively integrate and communicate analysis findings
- Team management and skill development experience
- Extract and present data stories from customer data sets to demonstrate value of solution and guide the customer in their priorities
- Support the successful delivery of the solution to the customer by making recommendations and providing quantitative evidence of the project’s results
- Hands on experience in at least one open source programming language such as Python or R
- Hands on experience with Python, R or similar dedicated modeling software
- Responsible for project commitments to quality and on-time deliverables; ability to manage conflicting priorities and multiple projects concurrently
- Strong motivation to stay in touch with data science progress and explore new capabilities
2
Experience For HR Analytics Data Science Consultant Resume
- Lead/support special projects; direct a team of data SMEs and engineers to facilitate data prep, validation that accelerates time to market
- Strong technical aptitude of network, systems and applications
- Strong statistical and quantitative aptitude
- Interview Subject Matter Experts, plan and conduct individual interviews with experts to gain valid information and data needed for analysis
- In lieu of a PhD, 5-8 years of relevant post-collegiate job experience
- Experience with at least one commercial analytic tool (e.g. SAS, SPSS, Alteryx, or Rapidminer)
3
Experience For It-data Science Consultant Resume
- Experience within a Data Scientist function
- Experience with statistical methods such as linear and non-linear regression, survival analysis, longitudinal analysis, propensity score match etc
- Capable of working with and selecting relevant subsets of large data sets
- Integrate large volume of data from different sources including DB2, SQL Server, Web API and Teradata into a common analytics warehouse
- Relevant programming background (e.g. Java/Python/R)
- Deployment and oversight of end-to-end analytics/Machine Learning and data technology capabilities
- Management of big data infrastructure including data processes; acquisition, storage, transformation, and analysis
4
Experience For Oil & Gas Data Science Consultant Resume
- Keep up with industry trends in data science practice and continuously improve the consulting team’s tools and methodologies
- Provide thought leadership within projects and leading technologies
- Provide support for offering development and innovation
- Mine, relate and clean data from various sources, while building systems that do this automatically
- Lead optimization effort by collaborating with 3rd parties, product analytics, technical & account teams
- Provide key input into strategic planning for Pawsey Data Analytics services
- Desire and willingness to work with large datasets, including those previously unused for advanced analytics
5
Experience For Bioinformatics & Data Science Consultant Resume
- Efficiently interpret results and communicate findings and potential value to manager and business partners
- Consult and mentor on statistical work for actuaries and analysts within the area
- Collaboratively identify and define appropriate data for analysis. Perform statistical analysis and bring business context to ensure there is meaningful economic value from the engagements
- Present and articulate findings to stakeholders and leadership with concise and actionable insights
- Propose and implement business metrics for management reviews
6
Experience For Graduate Opportunity Analytics & Data Science Consultant Resume
- Research and test algorithms' efficacy (i.e., by applying to test/sampled data and assessing accuracy/fit/predictive strength) for differing analytical use-cases
- Big data analytics in Hadoop environment with R / Python / Java
- Propensity modeling, cluster, regression analyses (and others) for the commercial and enterprise customers, integrate impact into R&Os for future incremental economic value
- Appropriate understanding and ability of complex organizational data architecture
- Conversant to work with large volumes of functional and business data sets
- Be conversant with strategic trade-offs | profitability dynamics for transactional / relationship businesses
7
Experience For Senior Clinical Data Science Consultant Resume
- Conduct pilots as required that measure viability and execution capabilities of E2E customer programs
- Partner with Business Clients, establish professional relationship, and communicate with analytics clients in order to understand business needs
- Lead Project Teams and participate in multidisciplinary analytics project teams
- Elicit Information from Groups, plan and conduct group elicitation sessions with working groups to develop and assess alternatives, uncertainties, and value and risk preferences
- Communicate Results to Decision Makers, explain the Results and conclusions of the analytics process in both written and oral presentation formats
- Work in Project Teams and participate in multidisciplinary analytics project teams
- Project-based analytics including but not limited to: Predictive Analytics, Comparative Effectiveness Analysis, Program Evaluation, Multi-Channel Attribution, Digital Analytics, Big Data Analytics, Optimization, Demand Forecasting, Customer Segmentation, Customer Analytic Record
8
Experience For Junior Data Science Consultant Resume
- Execute and teach application of statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large, unstructured data sets to identify trends, figures and other relevant information
- Evaluate emerging datasets and technologies and help define our analytic platform
- Own development of select assets/accelerators that create scale
- Contribute to thought leadership through research and publication
- Guide and manage project teams of Associates/Associate Consultants
- Gather models’ requirements, design experiments and analyses, query and manipulate data, build and deploy predictive models, and interpret the outcomes for consumption by client leadership
- Project-based analytics including but not limited to: Machine Learning, Predictive Analytics, Comparative Effectiveness Analysis, Failure Analysis, Big Data Analytics, Optimization, Demand Forecasting, Customer Segmentation, Customer Analytic Record
9
Experience For Technical Data Science Consultant Resume
- Establish technology strategies, team direction, resolve problems and provide guidance to teammates
- Delivery - Lead the hands-on execution of customer engagements and internal builder projects. Customer engagements include migration of existing functionality, evolution of existing capabilities and process, and development of new applications using AWS cloud services
- Project-based analytics including but not limited to population health analytics, bundle payment forecasting, evidence based medicine analytics, patient segmentation, payer analytics, care pathway analytics
- Experience working with Hadoop eco system, using technologies such as
- Support pre-sales activities providing solution based presentations and solution expertise in helping to develop prospects
- Exceptional creativity at solving unstructured and unseen problems using data and analysis
- Partner with Data Scientists, Sales and Marketing teams on the formulation of customer solutions
10
Experience For Clinical Data Science Consultant Resume
- Build innovative analytical solutions and meet with prospective customers to assess their needs and develop the best configurable solution for a business need
- Project-based analytics including but not limited to Big Data Analytics, Digital Analytics, Customer Segmentation, Propensity / Churn Models, Marketing Mix Modeling, Multi-Channel Attribution, Pricing and Promotion, Trade Analytics, Markdown Optimization, Demand Forecasting
- Provide analytical services as part of a team conducting proofs-of-concept and identifying opportunities to create customer value
- Perform data analysis to discover patterns, trends and anomalies in customer data, translate the results into actionable insights, and present results and recommendations to support customers in improving their data quality
- Guide the customer through identification of project success metrics
- Work with other members of the JDA team to understand domain issues and customer-specific requirements and translate them into model enhancement and tuning activities
- Build, configure and train models to support overall project objectives, and run simulations and what-if analyses to evaluate alternative scenarios
List of Typical Skills For a Data Science Consultant Resume
1
Skills For Senior Data Science Consultant Resume
- Has experience working with healthcare data and possesses strong understanding of the healthcare system
- Good level of programming experience in at least one item from the below
- General knowledge of key business functions, and financial analysis skills
- Create and deliver “pop-up” services to teach data skills
- Advanced knowledge and skills with a specific technical or professional discipline
- Demonstrated experience consulting on business and technical solutions with executive management
- Programming language experience with SAS/BASE, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/REPORT
2
Skills For HR Analytics Data Science Consultant Resume
- Experience completing data mining, manipulation, cleaning and technical analysis
- Experience developing machine learning solutions using open source frameworks
- Experience with quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression)
- Experience developing Tableau workbooks and creating Tableau extracts
- Proven track record of using R, Python, or other statistical languages/packages for data analysis and machine learning to successfully solve business problems
- Experience leading and working with both onshore and offshore technical resources
- Experience in enhancing Data Science and AI solutions using multiple data sets
3
Skills For It-data Science Consultant Resume
- Experience working with complex data sets and Greenplum database design
- Develop and maintain excellent relationships with stakeholders in the research community; promoting Pawsey services and capabilities
- Strength and experience with statistical modeling
- Client facing experience in Data Science in a professional services environment
- Experience automating IT & security tasks
4
Skills For Oil & Gas Data Science Consultant Resume
- Experience in Artificial Intelligence, Machine Learning, Advanced Analytics, Robotics, and other relevant technical domains
- Experience of Machine Learning and Big Data technologies such as Hadoop, Mahout, Pig, Hive, etc
- Experience working with ASEAN & Indian clients
- Highly credible with ability to demonstrate solving business problems with data driven solutions
- Experience in projects involving Data Science and AI
- Experience in data mining large database solutions, on premises, cloud and hybrid implementations
5
Skills For Bioinformatics & Data Science Consultant Resume
- Experience is required in most of the following areas
- Identify, prioritize & communicate new opportunities using data
- Experience using technical and analytical tools to manipulate data (i.e. SAS, R, SQL)
- Demonstration of visualization techniques and experience utilizing visualization tools (such as Tableau/Qlik)
- Capture business expertise and needs through job shadowing experiences and interviews
- Apply such knowledge as well as validation, aggregation and reconciliation techniques to create rich modeling-ready data framework
- Hands on experience with SAS EM, SPSS, R or similar dedicated modeling software
- Excellent understanding of a specific Industry’s data sets
- Help build a data driven organization where decision making is pivoted upon sound quantitative evidence
6
Skills For Graduate Opportunity Analytics & Data Science Consultant Resume
- Solid grounding in project leadership/delivery and an ability to engage and deliver project outcomes
- Strong understanding of relevant tools/platforms (e.g. Hadoop eco system and database systems)
- Agile project planning and project management experience
- Payer and/or Provider industry experience
- Relevant work experience in an analytically or data oriented role in any industry
- Project management/team lead experience
- Experience as a Business Intelligence Analyst, Software Engineer, or in a Data Scientist role
- Evidence of entrepreneurial drive and having a “start-up” mentality
7
Skills For Senior Clinical Data Science Consultant Resume
- Electric and natural gas utility experience
- Hands-On experience with Hadoop stack (MapReduce, Sqoop, Pig, Hive, Hbase, Flume)
- Experience with SAP HANA for predictive analytics
- Hands-on experience with neural network development frameworks and environments, such as Keras and TensorFlow
- Working knowledge of code writing and programming
- Understanding of and ability to use programming languages for predictive analytics modeling, like Python, R or SAS
- Understanding of and ability to use scripts like SQL (Structured Query Language) and / or Hive for accessing and wrangling data
- Working knowledge of statistics and predictive modeling
- Understanding of and ability to use programming languages like Python and SQL (Structured Query Language)
8
Skills For Junior Data Science Consultant Resume
- Understanding architectural implications of meeting industry standards such as PCI DSS, ISO 27001, HIPAA, and NIST/DoD frameworks
- Understanding of multiple healthcare data sources and systems (EMR, hospital, registries, etc.)
- Deep knowledge in designing, planning, testing and deploying Data Science and AI solutions including the following
- Technical and functional understanding of business intelligence solutions (e.g. data acquisition, enriching, integrating, interrogating and visualizing)
- Basic knowledge of Hadoop ecosystem, including tools for data mining and analytics, including Sqoop, Hive, Pig, Spark and/or Scala
9
Skills For Technical Data Science Consultant Resume
- Design and execute solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable business value
- Play a lead role in integrating solutions within existing business processes using automation techniques
- Apply predictive modeling and Data mining techniques for a variety of user modeling tasks
- Proficiency in extracting, cleansing and visualizing data
- Participate in the EYC3 summit – 3 days of training and networking with over 250 data experts from across all our regions. (this year in Melbourne)
- Expertise in using R, Python, or other statistical languages/packages for data analysis and machine learning to solve business problems
- Proficiency with tools and languages for working with unstructured data, including text and image data
- Displays understanding of and ability to use programming languages like Python
10
Skills For Clinical Data Science Consultant Resume
- Possess a blend of marketing acumen, consulting expertise and analytical capabilities that can create value and insights for our clients
- In data mining and predictive modeling inclusive of linear and non-Linear regression, logistic regression, and time series analysis models
- An outstanding ability to understand business problems and articulate a corresponding solution based on Dataspark offered products
- Customer facing roles (e.g. consulting, sales, customer service)
- Self-driven individual, demonstrating continuous learning and creativity, and is naturally collaborative
- Technical interviewing including case study
- Machine Learning/Deep Learning/Tensor Flow knowledge
List of Typical Responsibilities For a Data Science Consultant Resume
1
Responsibilities For Senior Data Science Consultant Resume
- Demonstrated experience of script programming languages, preferably Python, for data analytics and machine learning applications
- Opportunity to expand your skills in a scientific, technical, business, sales and program management dimension at the same time
- Cross-platform skills: Git/SVN, JavaScript, Mathematica
- Demonstrated ability for designing and implementing successful data analysis solutions within a business
- Passion for defining the next generation of customer experience excellence
- Technology, research and/or problem solving experience
- Experience building models and applications in specialized analytics and BI packages (e.g. SAS, SPSS, R, Alteryx, IBM Cognos, Tableau, QlikView)
- Hands on experience with data visualization (Qlik, Tableau, Power BI, Shiny, etc.)
- Healthcare payer context experience
2
Responsibilities For HR Analytics Data Science Consultant Resume
- Experience with machine learning or statistical libraries: SparkML, scikitlearn, caret, mlr, MLlib
- Experience with visualization tools (Tableau, Qlik, etc.)
- Identify strong candidates, both technical & non-technical and engage them with Dataspark core leadership team for recruitment
- Experience as independent player or a team leader to deliver mid to big scale size solutions (in million-dollar)
- Previous developer experience (+2 years)
- Project management experience (nice to have)
- Travel industry (e.g. Online Travel Agency, GDS) experience (nice to have)
3
Responsibilities For It-data Science Consultant Resume
- Experience in business analyses and data sciences, preferably in enterprise technology sector
- Using R, SAS or Python to turn complex datasets into actionable insights
- Working with data management platforms (such as Oracle, SQL, NoSQL, Hadoop, Mongo etc.)
- Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains
- Familiarity with deploying cloud services (AWS, Google, Azure), Big Data tools (Hadoop, Hive, Spark) and knowledge of SQL
- When needed, support the technical teams on setting up customer mock-ups (i.e. white label) websites
- Knowledge of working in big data environments
- Knowledge of Data Warehousing, ETL and data structures
- Data Science, Data Engineering, Cloud Platform
4
Responsibilities For Oil & Gas Data Science Consultant Resume
- Machine learning frameworks and workflows
- Create recommendations that are practical, actionable, and have material impact, in addition to being well-supported by analytical models and data
- Travel to customer and team work locations (50% travel required)
- Elicit customers’ knowledge, both explicit and tacit, about business objectives, strategic concerns, and policies related to the scope and success of the project
- Able to translate complex data into business insights and opportunities to create value
- Communicate analytic insights and recommendations to customers without a deep knowledge of statistics by relating data stories to business situations and processes
- Create dashboards, visualizations, and reports to communicate statistical findings
5
Responsibilities For Bioinformatics & Data Science Consultant Resume
- Consult and mentor on statistical work for analysts within the area
- Apply data science methodologies to deliver insights to clients
- Work closely with internal Accenture teams and clients to understand challenges and create solutions
- Stay abreast of technology trends in multiple industries
- Work closely with internal Accenture teams and clients to understand gaps in knowledge, capabilities and solution offerings
- Work on client deliverables and solutions
- Develop, test, validate and refine predictive models to optimize customer experiences, revenue generation, operational effectiveness, marketing success and other business outcomes
- Generate features for use in model development and refinement
6
Responsibilities For Graduate Opportunity Analytics & Data Science Consultant Resume
- Performs basic applied statistical research and custom analysis of integrated healthcare data, interprets results, and makes recommendations based on analytic findings to business areas; also makes recommendations about data collection methods, metrics definition and evaluation methods
- Presents analytic reports to clients and stakeholders
- Defines and delivers analytical solutions in support of healthcare business initiatives that drive short and long term objectives
- Collaborates with internal and external partners and organizations in the design and execution of analytic studies to answer business and research questions
- Designs and conducts analyses and outcome studies using healthcare claims, pharmacy and lab data, employing appropriate research designs and statistical methods
- Develops, validates and executes algorithms, statistical models and reporting tools that answer applied research and business questions for internal and external clients
- Develops and participates in presentations and consultations to existing and prospective constituents on information services, capabilities and performance results
- Experience analyzing, collecting,and performing complex statistical analysis on healthcare data
- Experience in statistical modeling, quantitative research, and programming
7
Responsibilities For Senior Clinical Data Science Consultant Resume
- Hands-on development using open source big data components such as Hadoop, AWS EMR, Amazon ML, Spark, Hive, Pig, HBase, Flume, Mahout, Sqoop, Tableau
- Stays informed about industry trends, research findings and evaluation methods
- Turns analysis into business/customer solutions
- Creates business applications to deliver clinical or analytic solutions to constituents
- Create data models and algorithms from huge volumes data
- Understand business processes which create and consume data so as to be able to select best approaches, evaluate their performance and assess business relevance
- Advanced level of proficiency with MS Word, Excel, PowerPoint
- Skills using the tools and techniques of Project Management. Successfully managed multiple projects. Ability to interact effectively with customers to ensure that project scope and requirements are clearly defined and executable
- Hold certifications in any analytical or BI package (e.g. SAS, SPSS, R, Alteryx, IBM Cognos, Tableau, QlikView)
8
Responsibilities For Junior Data Science Consultant Resume
- Real influence on the globally provided services
- Proficiency with tools and languages for data visualization and social network analysis
- Proficiency with Tableau or other business intelligence tools
- Willingness and ability to act as a technical lead across multiple projects and mentor junior staff
- Expertise in tools and languages for working with unstructured data, such as text and image data, including functional knowledge of neural networks and deep learning
- R, SAS, Mathematica, MATLAB, Sagemath, Python, Java, Scala, perl, ruby, etc
9
Responsibilities For Technical Data Science Consultant Resume
- Consultant with 2-4 years of experience in Data Science focused on one or more of the following: statistical analysis, data mining, predictive modeling, machine learning / artificial intelligence, text mining / natural language processing, network analysis, data visualization, big data techniques.
- Willingness to travel mainly across the EMEA region up to 50-75%
- Optimistic and enthusiastic with a desire to learn and grow as Duke Energy continues to realize its analytics strategy and mature its analytics infrastructure
- Advanced MS Excel and MS/Access
- Experience in the Healthcare Industry (Payer/Provider) implementing analytic projects in the following areas: Applied Statistics/Econometrics, Statistical Programming, Database Management & Operations, Digital, Comparative Effectiveness Research
10
Responsibilities For Clinical Data Science Consultant Resume
- Experience as a solution architect for analytics and Big Data projects
- Recognize technical and analytical problems and solution with minimal supervision
- Familiarity with Microsoft Office products (Word, Excel, PowerPoint, Project)
- Knowledge of electricity and natural gas utility business model and operations
- Basic knowledge of Linux command line interface
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