Analytics Scientist Resume Sample
Anabelle Herzog
558 Hubert Avenue,
Boston,
MA
+1 (555) 674 1105
Work Experience
Senior Mixed Data Analytics Scientist
09/2017
-
PRESENT
Houston, TX
- Predictive analytics/Data analysissupport by building solid reports connected to process maps and internal data collection initiatives to allow decision making processes in the Production Technology organisation and identify research opportunities
- Develop Mathematical Models which allow prediction of seed/plant quality based on key variables from seed production and seed quality. Generate algorithms supporting both Production Research and Seed Technology as well processes in Production, Operations and QA/QC
- Statistical Support (cross-)departmental training related to all aspects of trial set up, statistical analysis of trial results, 6-sigma optimization efforts and modelling and promote (cross-) departmental activities and accomplishments. support in solid statistical support for trial set-up
- Quality Management Systems & Audits assure documentation, auditing and improvement systems related to ISO and other accreditation requirements are met, both for own work as well for departments connected
- Corrective action. Cross-functionally participates and supports corrective action processes
- Projectsidentify, initiate, support opportunities within Monsanto that can lead to a higher quality and more secure processes
- Experience and familiarity working in the automotive industry in areas such as vehicle development, engineering, and/or marketing
- Execute the design, analysis, and development of assigned projects adhering to business standards, practices, procedures, and product / program requirements
Analytics Scientist
12/2012
-
05/2017
Philadelphia, PA
- Experience in Statistical Analysis
- Experience working in the automotive industry manipulating large scale data, performing analysis, and building statistical models
- Develop strategies and best practices for leveraging Ford’s heterogeneous data sources and large-scale computing resources
- Experience in scientific computing software, such as SAS, MATLAB, R, Mathematica, etc
- Experience in object-oriented programing languages, such as Python and C++
- Experience conducting statistical analysis in a business or academic environment
- Experience with statistical, econometric, and optimization methods (e.g., logistic, time series, seasonal adjustments, non-linear methods)
- Experience using analytics in a business or academic environment
- Experience in one of the following: SAS, R, MatLab or Python
Process Analytics Scientist
02/2007
-
09/2012
Boston, MA
- Experience in applications of operations research, mathematics, and/or statistics to scheduling or supply chain problems in an industrial/applied environment
- Experience in exact and heuristic algorithm development
- Support the Manufacturing Analytics team’s Big Data infrastructure needs
- Experience with Microsoft EXCEL, PowerPoint and Word
- Linux and Windows experience
- Assembly of data for building models and performing predictive/prescriptive analytics
- Ingesting large data sets from a variety of sources (SQL, Teradata, Oracle, Hadoop, and 3rd party sources in the public domain)
Education
Grand Valley State University
2002 - 2007
Master's Degree in Statistics
Professional Skills
- Strong influencing skills to lead alignment and adoption on process and methods
- Decision making and problem solving skills. Capability to take action in solving problems while exhibiting judgement and a realistic understanding of issues
- Demonstrated skill at working in a team setting
- Demonstrated skill in data management methods & exposure to big data technologies (Hadoop, MapReduce, Spark)
- Demonstrated skill in feature extraction and realtime analytics development and deployment
- Experience working in the automotive industry manipulating large scale data, performing analysis, and building statistical models
- Experience (academic or industry) in optimization algorithms (Integer programing, Linear/Non-linear programming) and/or machine learning models
How to write Analytics Scientist Resume
Analytics Scientist role is responsible for sql, software, credit, training, integration, database, auditing, java, reporting, manufacturing.
To write great resume for analytics scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Analytics Scientist Resume
The section contact information is important in your analytics 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
- Telephone number
Work Experience in Your Analytics Scientist Resume
The section work experience is an essential part of your analytics 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 analytics 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 analytics scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Analytics Scientist resume experience can include:
- Provide insight, design experiments, test hypothesis and build complex models resulting in strong scientific process understanding
- Experience performing stochastic modeling, optimization and uncertainty quantification
- Experience working with Ford Motor Company
- Experience using advanced optimization and robust design methods
- Experience with machine learning algorithms and statistical techniques is highly desired
- Experience with descriptive analytical tools including: Qlikview and Alteryx
Education on an Analytics Scientist Resume
Make sure to make education a priority on your analytics scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your analytics 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 Analytics Scientist Resume
When listing skills on your analytics 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 analytics scientist skills:
- Experience in agriculture disciplines with strong data analytics aptitude
- Work effectively in matrixed teams as well as independently to accomplish project goals
- Draw conclusions and effectively communicates findings with both technical and non-technical team members
- Experience using statistics and mathematical modeling to tackle real world problems using real data
- Additional experience in at least one of the following areas: Machine learning, Predictive analytics, Modelling and simulation
- Experience developing regression models using traditional, modern (i.e. regularized)
List of Typical Experience For an Analytics Scientist Resume
1
Experience For Data Analytics Scientist Resume
- Ph.D. entry level in related discipline with 0-2 years of relevant experience
- Provide data management technical expertise and support, as needed, in solving critical business issues
- Work collaboratively with various business groups and regional teams to disseminate critical information and develop strategic opportunities
- Develop algorithms, build mathematical models using applications such as R and SAS, design user-friendly interfaces, and continuously improve model performance to satisfy business needs
- Responsible for consolidation, summarization and analysis of Parent Test and Production Research data to drive critical processes such as: regional hybrid advancement process, hybrid seed production planting Instructions, and hybrid seed production yield forecasting
- Consolidate, monitor and communicate to leadership statistical indicators to support data compliance and auditability; support KPIs build up and follow up with action plans to team members
- Work closely with Global Production Technology Analytics team and support regional teams with statistical analysis
- Support Production Research team with data visualization and data visualization tools
2
Experience For Process Analytics Scientist Resume
- Manage Row Crop Production Research/ Parent Test databases. Develop data management systems to ensure proper data QC processes and data integrity. Work closely with NA PR Scientists to drive proper data management. Provide guidelines for database audit process and compliance
- Actively participate on cross-regional teams and initiatives to leverage global data and knowledge, build consistent data processes and leverage global information
- Work with laboratory functions to understand fundamentals of laboratory data collection activities, transactional exchanges and data analysis needs
- Become proficient at using and training others in the use of existing electronic laboratory notebook, laboratory data management, OSI/PI, Spotfire and other data collection and visualization workflows
- Partner with business functions, IT support groups and contract vendors to ensure timely and functional delivery of laboratory data collection and visualization tools
- Drive change management to enable and sustain future state business capabilities
3
Experience For Soybean Data Analytics Scientist Resume
- Champion standardization initiatives within and across business units
- Co-own business case development for proposed projects
- Co-own project commitments and deliverables
- Work with Risk Analytics and Risk Operation teams to support consumer / commercial scorecard development to support loan origination and collection
- Utilize statistical software (e.g., SAS, JMP, R, Python) to develop models
- Work or academic experience with statistical, econometric, and optimization methods (e.g., logistic, time series, seasonal adjustments, non-linear methods)
- Utilize statistical software (e.g., SAS, Matlab, R, Python) to develop models, forecasts, segmentation/cluster, and optimization algorithms
4
Experience For Senior Mixed Data Analytics Scientist Resume
- Easily accustomed to new software tools (e.g., Alteryx, QlikView, ArcGIS, AnyLogic, Tableau)
- Proficient in Data Carpentry skills - work with various data sources and platforms (e.g., PC, Hadoop, Teradata) to compile data and investigate anomalies within the data
- Develop complete system designs that include data, pre-processing, model building, post-processing, and user interfaces
- Develop and implement advanced analytics algorithms and computationally efficient methods for obtaining optimal or near-optimal solutions
- Communicate with business partners to understand the business opportunities and translate high-level ideas into well-defined mathematical formulations
- Carry out method transfers, feasibility studies, and method development
5
Experience For Senior Image Analytics Scientist Resume
- The Process Analytics Scientist has responsibilities in the areas of process monitoring, scientific process support, root cause analysis, and projects to improve processing time, productivity, product quality, and a better customer experience
- Develop innovative and effective approaches to solve process analytics problems and communicates results and methodologies
- Evaluate current processes and identify process improvement opportunities, including development of automated controls and predictive process monitoring
- Work with IT teams to support data collection, data integrity, integration and incorporating business requirements and best practices
- Develop reports, analytics and predictive tools to analyze data, solve inquiries or identify opportunities
- Utilization of advanced data analysis, including statistical analysis, data mining techniques, and use of computational packages such as Statistica, Discoverant, SAS, R or SPSS
6
Experience For Protein Analytics Scientist Resume
- Work with Risk Analytics and Risk Operation teams to support credit model development
- Utilize statistical software (e.g., SAS, R, Python) to develop models
- Work or academic experience with statistical, econometric, and/or other quantitative methods (e.g., logistic, time series, seasonal adjustments, non-linear methods)
- Identify new business opportunities and build analytical solutions in various sustainable transportation applications such as greenhouse gas emission and vehicle energy consumption
- Experience with programming languages such as R, Python, Java or TensorFlow
- Experience (academic or industry) in the application of engineering and science to energy and/or transportation problems
- Experience working with automotive OEMs
- Deep knowledge of Ford Systems, including: WERS, WIPS, AIMS, VCDS, GI, PTMS, CMMS, and AVBOM
- Workflow and Content management including: Microsoft: InfoPath Designer 2010/2013, and SharePoint 2010/2016
7
Experience For Senior Data Analytics Scientist Resume
- PhD in Mathematics, Statistics, Computer Science, Operations Research, Industrial Engineering, or other related technical areas
- MS in Computer Science, Industrial Engineering, Operations Research, Mathematics, Statistics, Econometrics, or other related fields
- Ph.D. in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, or Econometrics
- Understand, explain, run and modify government simulation and analytical models used in support of fuel economy and GHG emissions intensity calculations
- Apply complex mathematical models and implement solution algorithms
- Understand how to ingest large data sets from a variety of sources (SQL, Hadoop, Alteryx, QlikView etc)
- Identify new business opportunities and build analytical solutions in various existing and future sustainable transportation applications, such as ride sharing, ride hailing, and new mobility services enabled by autonomous vehicles
8
Experience For Pricing Analytics Scientist Resume
- Understand, explain, run and modify simulation and analytical models used in support of fuel economy and greenhouse gas emissions intensity calculations
- Understand how to ingest large data sets from a variety of sources (SQL, Hadoop, Alteryx, QlikView, etc.)
- Drive results and handle multiple projects within a given timeframe
- Occasional travel within region
- Potential infrequent travel outside of region
- Programming skills including: HTML, JavaScript, XSLT, XML, VB.NET Framework 4.5, Microsoft Visual Studio 2012, VB Script, SQL Server, Oracle, and Teradata
- Big Data technologies including Greenplum, Python, or Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), with command line experience with loading and manipulating files within HDFS
9
Experience For Senior Data & Analytics Scientist Resume
- Deep understanding of quality operation systems (QOS) to develop, analyse, and maintain measurables in the next generation Health Chart Metric System (HCMS)
- Write complex SQL queries needed to identify & analyse data
- Experience in applications of operations research, mathematics, and/or statistics to assembly line bottleneck identification and throughput improvement
- Experience in Data Mining and Analytics, Modeling, business intelligence, and statistical analysis
- Work in a fast-paced global and multi-cultural company
- Familiarity with various simulation techniques
10
Experience For Analytics Scientist Operational Research Focus Resume
- Translate complex quantitative methods for business audiences
- Experience in applications of optimization, statistics, and/or machine learning to time series, forecasting, scheduling, supply chain, or other related business areas
- Ph.D. in the aforementioned technical fields
- Pattern Recognition (Conditional Random Fields, Hidden Markov Models, Maximum Entropy Markov Models, etc.)
- PhD in a numerate discipline with extensive data analysis
List of Typical Skills For an Analytics Scientist Resume
1
Skills For Data Analytics Scientist Resume
- Experience with data management, data mining, statistical modeling, and analysis
- Experience using one or more of the following software programs: Python, R, MATLAB, SQL, and/or SAS
- Experience translating complex quantitative methods into business insights and presenting to a non-technical audience
- Experience managing multiple projects and working independently
- Experience in analytics modeling and machine learning algorithms
- Knowledge and experience of Ford's manufacturing processes and databases such as FIS
- Experience in working in a team based environment
2
Skills For Process Analytics Scientist Resume
- Experience using analytics in a business or academic environment
- Experience in one of the following: SAS, R, or Python
- Experience utilizing statistical and econometric; (i.e., logistic regression, time series, seasonal adjustments, systems dynamics)
- Experience managing multiple projects within a specified timeframe
- Experience in an analytics consulting capacity is desirable
- Experience in data mining structured and unstructured data and data visualization
- Experience with expert system languages such as Art Enterprise, LISP, and exposure to Business Rules development are also highly desirable
3
Skills For Soybean Data Analytics Scientist Resume
- Automotive business experience with Global Product Development System (GPDS)
- Experience with SPSS, AMPL, WEKA, Matlab, Python, R, SAS, or similar software
- Experience in R, R-Shiny, Alteryx, SAS, SQL, Tableau, and QlikView
- Hands-on experience in research environment, experimental design, and execution of field trials
- Experience in applications of operations research, mathematics, and/or statistics in an industrial/applied environment
4
Skills For Senior Mixed Data Analytics Scientist Resume
- Experience with statistical, econometric, and optimization methods (e.g., logistic, time series, seasonal adjustments, non-linear methods)
- Experience in integer programming with decomposition methods
- Academic/industry experience in the application of engineering and science to energy, mechanical, industrial and/or transportation problems
- Experience with statistical and mathematical programming packages (R, Matlab)
- Experience in stochastic modeling and simulation
- Experience working with agricultural/biological scientific data
- Experience with applying data visualization principles to the display of data
5
Skills For Senior Image Analytics Scientist Resume
- Experience with database queries such as Hadoop or SQL
- Experience with data visualization tools such as QlickVIew or Tableau
- Knowledge and experience in Supply Chain Management especially in Order To Delivery processes and systems
- Experience (academic or industry) with C#, Java, and/or Python
- Experience (academic or industry) with descriptive analytics tools such as Qlikview, Tableau, and/or R-Shiny
6
Skills For Protein Analytics Scientist Resume
- Academic/industry experience with C#, Java, Python, R, and/or Scala
- Academic/industry experience with big data in the Hadoop ecosystem (HDFS, MapReduce, Hive, Spark, Hue, Zeppelin, Anaconda, etc.)
- Knowledge of seed production or related crop production experience
- Experience in web-framework dashboards with Angular, Django, R-Shiny, and/or HTML, CSS, JavaScript
- Experience with Python, Java, C#, and/or C/C++
7
Skills For Senior Data Analytics Scientist Resume
- Collect, validate, cleanse, and design data structure for analytics consumption
- Experience with Empower3 is required
- Supporting analytical model building through data mapping, data transformation, data processing, and documenting data workflows
- Challenging the status quo to improve processes and the way things are done
- Identifying key data elements to extract/ decode/ analyse and
- Working collaboratively with various business groups and regions to disseminate critical information and develop strategic opportunities
- Support analytical model building through data mapping and preprocessing, and by documenting information flows
8
Skills For Pricing Analytics Scientist Resume
- Aware of current trend of manufacturing analytics leveraging data science such as Industry 4.0 and Industrial Internet of Things (IIoT)
- Proficiency in Spatial auto-correlation modeling, building spatial econometric models, or Topological data analysis
- Proficiency in machine learning algorithms and concepts (Ensembles, Deep Learning, SVM, etc.)
- Creativity in defining challenging exploratory projects
- Perform data mining/analysis and provide optimization/analytical modeling supports
- Data mining, Software development, Machine Learning
9
Skills For Senior Data & Analytics Scientist Resume
- Interface with laboratory automation, modeling and pilot manufacturing roles to support the unique requirements of each group as needed
- Exposure to cloud computing technologies
- Provide ad-hoc analysis for internal stakeholders, including the executive team
- Expertise in probability theory, queuing theory, game theory is desirable
- Knowledge of data transfer and ingestion technologies including Talend and/or HVR
- Ph.D. in a quantitative field such as Statistics, Economics, Applied Mathematics, Operations Research, Engineering, Physics, or related field
- Master in Mathematics, Statistics, Computer Science, Operations Research, Industrial Engineering, Physics or other related technical areas
- Customer-facing aptitude and the ability to work to tight deadlines and under pressure
- Support product and technology strategy activities within IT by developing mathematical and analytical models
10
Skills For Analytics Scientist Operational Research Focus Resume
- Understand complex mathematical models and implement solution algorithms with programing languages
- Analytics modeling, Python, Java
- Familiarity with cloud computing and big data technologies
- Build a cross-functional working group to identify gaps and inefficiencies and expand laboratory data collection and visualization capabilities
- Drive continuous improvements as needed -Collaboratively contribute to scientific modeling or laboratory automation roles if interested
- Employ statistical procedures (Logistic regression, Machine Learning)
- Lead projects, work on teams, and mentor others
- Specify, monitor and analyze A/B tests and other customer tests. This means statistical analysis and the ability to analyze disparate and incomplete data sets
- Communicate findings to stakeholders and a broader audience of technical and non-technical co-workers
List of Typical Responsibilities For an Analytics Scientist Resume
1
Responsibilities For Data Analytics Scientist Resume
- Willingness to learn new tools and methods as they become needed
- Understand various industry problems and translate into analytical models
- Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences
- Familiarity with the seed business is a pre
- Employ statistical procedures
- Masters in Statistics
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