Decision Scientist Resume Samples

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K Ruecker

Kathlyn

Ruecker

9591 Bode Key

New York

+1 (555) 703 3003

9591 Bode Key

New York

Phone

p +1 (555) 703 3003

Experience Experience

Philadelphia, PA

Decision Scientist

Philadelphia, PA

Schaefer, Upton and Lubowitz

Philadelphia, PA

Decision Scientist

Develop and deploy solutions using data analysis, data mining, optimization tools, machine learning techniques and statistics
Partner with marketing, research and product organizations to design, execute, measure and improve the impact of marketing efforts
Identifying and making recommendations to our stakeholders so that they can apply these insights to positively impact our overall business
Analyze and maintain marketing metrics to identify cause-effect relationships between marketing actions and behavioral & attitudinal outcomes
Demonstrated success presenting complex research data in a clear and compelling manner that inspires action
Build statistical forecasting models and frameworks to support operations planning
Optimize online marketing spend allocation for new customer acquisition

San Francisco, CA

Fraud Decision Scientist, Digital Ventures

San Francisco, CA

Lynch-Stark

San Francisco, CA

Fraud Decision Scientist, Digital Ventures

Perform data collection, data cleaning, data validation, and reporting tasks for digital commerce systems and applications
Design and develop advanced analytical data mining/machine learning algorithms and predictive models
Research, design, develop, implement, and support decision science models
Provide analytical consultation, predictive modeling, and solutions to achieve business goals and objectives
Perform exploratory data analysis to find fraud patterns and trends in business applications
Develop metrics to measure the incremental benefit/costs of competing analytic models
Validate analytic solutions to determine overall effectiveness

present

Phoenix, AZ

Senior Decision Scientist

Phoenix, AZ

Hayes-Lemke

present

Phoenix, AZ

Senior Decision Scientist

present

Research and utilize most advanced sampling and modeling techniques to enhance modeling results
Conduct segmentation analysis for both risk management and targeted marketing purposes
Perform data mining using advanced data analytical techniques to identify performance patterns and trends
Provide analytical results to support strategic business decisions and the formulation of such decisions
Building, enhancing and maintaining the GPS Analytics Sandbox. The datasets in this Sandbox will include internal, 3rd party and social media sources, some of which are product, performance, macroeconomic indicators, demographics, blogs & sentiments, industry trends and opinions
Leveraging our unique datasets and industry-leading machine learning & data mining methods to develop new, innovative insights that help address critical product-related issues & questions across the global Franklin Templeton organization
Communicating & articulating these insights to key stakeholders

Education Education

Bachelor’s Degree in Psychology

Virginia Commonwealth University

Bachelor’s Degree in Psychology

Skills Skills

Strong mathematical and statistical ability along with a proven ability to solve complex business problems with effective solutions in a commercial environment
Business-applicable experience in several techniques for data visualization skills, e.g. Tableau / D3
Ability to handle and maintain the confidentiality of highly sensitive information
Working knowledge of basic statistical languages; experience with R, Python, SAS, SPSS, etc
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Strong business acumen with the ability to communicate with both business and IT leaders
Passion for problem solving and developing new solutions quickly
Strong communication skills through data visualizations, written and oral presentations
Comfortable with both relational databases and Hadoop-based data mining frameworks
Utilise the latest data analysis methods and technology platforms available (e.g. Microsoft Azure's IoT Suite)

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Senior Decision Scientist Resume Examples & Samples

Develop modeling solutions to serve business needs in various areas including account origination, portfolio performance, collections, direct marketing, fraud preventions, etc
Research and utilize most advanced sampling and modeling techniques to enhance modeling results
Conduct segmentation analysis for both risk management and targeted marketing purposes
Perform data mining using advanced data analytical techniques to identify performance patterns and trends
Provide analytical results to support strategic business decisions and the formulation of such decisions
Advanced degree in statistics, applied mathematics, economics, or related quantitative fields, PhD a plus
3+ years of experience with predictive modelling and analytics. Experience in the credit / financial services industry is desirable but not required
In-depth knowledge and comprehensive experience with advanced modeling/analytical techniques
Extensive experience with SAS and other analytical/modeling tools Recruiter: Ilana Raz

Decision Scientist Resume Examples & Samples

Developing a deep understanding of the Asset Management industry, Franklin Templeton, its competitors, industry influencers (rating agencies, experts etc) and key trends
Helping build, enhance and maintain the GPS Analytics Sandbox. The datasets in this Sandbox will include internal, 3rd party and social media sources, some of which are product, performance, macroeconomic indicators, demographics, blogs & sentiments, industry trends and opinions
Assisting with the communication & articulation of these insights to key stakeholders
Ability to articulate business insights & recommendations to senior executives and business heads
2 – 3 years’ experience in the Asset Management industry
Full-lifecycle modeling experience across identification & framing of business issues, gathering/cleaning/prepping data, iteratively building models in collaboration with key stakeholders, productionalizing the models and partnering with IT to operationalize them

Senior Decision Scientist Resume Examples & Samples

Building, enhancing and maintaining the GPS Analytics Sandbox. The datasets in this Sandbox will include internal, 3rd party and social media sources, some of which are product, performance, macroeconomic indicators, demographics, blogs & sentiments, industry trends and opinions
Leveraging our unique datasets and industry-leading machine learning & data mining methods to develop new, innovative insights that help address critical product-related issues & questions across the global Franklin Templeton organization
Communicating & articulating these insights to key stakeholders
Identifying and making recommendations to our stakeholders so that they can apply these insights to positively impact our overall business
Ability to influence executive opinions and build consensus on new business paradigms
Change management experience to work with key stakeholders and drive significant change within a business organization
3 – 4 years’ experience in the Asset Management industry
Sound understanding of Macroeconomic theory and practices
An inveterate “dot connector”, one who is constantly looking for patterns & correlations amongst diverse contexts, but does so in a data-driven, scientific approach
Experience with consulting & business frameworks, and applying these to capture business processes, issues, gaps & improvement opportunities
Experience with Big4 Consulting Firms and other Tier 1 Strategy Firms would be preferred
At least 2 – 3 years as a Business Analyst and / or Management Consultant
Deep experience with machine learning and data mining methods. The candidate specifically needs to have experience with linear & logistic regression, decision trees, random forests, structured vector machines, clustering, collaborative filtering, simulation & optimization algorithms
At least 5 years as a Statistician (a.k.a Decision Scientist, Data Scientist, Statistical Analyst, Predictive Analyst) who has applied a majority of the above algorithms to solve real-world business problems
Expert in statistical tools, such as R and SAS
At least 5 years cumulative experience with these or equivalent tools
Certifications in SAS Enterprise Miner, Base SAS and Predictive Modeling would be preferred
Experience with analytics tools for visualization & dashboards, such as Tableau and Excel
At least 1 – 2 years experience with the above or equivalent tools
Strong background with big data technologies such as MPP databases (Netezza, Exadata, Teradata or Greenplum), Hadoop (Cloudera, MapR or Pivotal), Python (along with NumPy, SciPy, Pandas and other associated packages) to ingest, integrate, cleanse and prep structured, semi & unstructured data at scale
At least 2 – 3 years with the above technologies to support Predictive Analytics use-cases
Experience with textual analytics & natural language processing technologies to infer sentiments, trends and themes from unstructured data
Full-lifecycle modeling experience across identification & framing of business issues, gathering/cleaning/prepping data, iteratively building models in collaboration with key stakeholders, productionalizing the models and partnering with IT to operationalize

Fraud Decision Scientist, Digital Ventures Resume Examples & Samples

Provide analytical consultation, predictive modeling, and solutions to achieve business goals and objectives
Perform data collection, data cleaning, data validation, and reporting tasks for digital commerce systems and applications
Perform exploratory data analysis to find fraud patterns and trends in business applications
Design and develop advanced analytical data mining/machine learning algorithms and predictive models
Validate analytic solutions to determine overall effectiveness
Develop metrics to measure the incremental benefit/costs of competing analytic models
Communicate analytic results to business partners
Identify and apply best practices in field of advanced analytics (statistics, operations research, etc.)
Conduct research on analytical techniques and translate that research into usable and sustainable solutions
Act as analytics consultant to business units within Starbucks
7+ years of equivalent/related professional or academic experience in applications of advanced analytics
Strong predictive modeling/statistics/analytics skills
Knowledge in data mining
Proficient in statistical programming languages such as SAS or R
Familiarity with Oracle database structures/query procedures (e.g. SQL)
Demonstrated aptitude and willingness to learn new analytic techniques, software applications, and tools

Decision Scientist Resume Examples & Samples

Extracts data from various data platforms, including traditional relational database environments as well as next-gen cloud computing technologies (AWS, Azure); perform exploratory data analysis, cleanse, massage, and aggregate data
Apply basic statistical concepts and descriptive statistics to understand and describe relationships in data
In partnership with data science, builds predictive models and complex descriptive analytics, clustering and market based analysis
Design of experiments to support business understanding of efficacy of campaigns and programs we initiative within market that are customer facing
Provide analytic support (code documentation, data transformations, algorithms, etc.) to IT to implement analytic insights and recommendations into business processes (e.g., feed of modeling scores into campaign manager)
Contribute to analytic project proposals
Evangelize value of analytics and data among peers
Data analysis field or discipline (Minimum 1 Year)
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Business-applicable experience in several techniques for data visualization skills, e.g. Tableau / D3
Working knowledge of basic statistical languages; experience with R, Python, SAS, SPSS, etc
1+ year of experience with SQL (Oracle, Teradata, etc.)
Expert Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study to improve or expand databases
Experience in big data technologies, preferred
Experience in agile development, preferred
Familiarity with Unix/Linux OS, preferred

Senior Decision Scientist Resume Examples & Samples

Advanced statistical principles including linear regression, logistic regression, univariate and multivariate analysis, principle component analysis, discriminant analysis, simulation, time series analysis, and experimental design
Data mining techniques, including regression analysis, clustering, decision trees, neural networks, and SVM (support vector machines)
Developing sophisticated forecasting models
Understanding multi-dimensional business problems
Developing innovative and practical solutions to deliver superior business results
SAS/Base, SAS/STAT, SQL, UNIX, Relational Databases (Oracle, DB2, Teradata), Python/Matlab and Microsoft Office
Large data sets and data manipulation

Decision Scientist Resume Examples & Samples

Build statistical forecasting models and frameworks to support operations planning
Optimize online marketing spend allocation for new customer acquisition
Apply machine learning algorithms to predict customer lifetime value and churn
Perform deep data explorations to uncover valuable customer insights
Design and measure experiments to measure the impact of customer engagement strategies
2+ years experience working in an analytics or data science role, or equivalent
M.S. or Ph.D. in economics, decision science, statistics, applied math, operations research, or a related quantitative field
High degree of proficiency with SQL and solid experience working with large data sets
Proficient with statistical packages in R, Python, and/or SAS
Proficient in at least scripting language such as Python or Ruby
Working experience with big data frameworks like Hadoop and Spark a plus
Ability to work in a fast-paced environment and manage multiple priorities

Decision Scientist Senior Resume Examples & Samples

Develop and deliver both regular and ad-hoc reports, and dashboard for leadership to help driven decision-making
Driver innovation and visualization technologies
Devise methods for identifying data patterns, trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting requirements
Lead innovative packaging and presentation of insights to business and broader analytics community
Manage, organize and present analytics data, key metrics and KPIs
Establish brand and team as subject matter experts in Analytics across departments, including clickstream
Working knowledge of tools (e.g. SQL, SAS, Hive) to pull and process data from various database environments
Years within data analysis field or discipline Minimum 3 Years Experience
High proficiency with Excel including pivoting capabilities and analysis modules – VBA macros and ODBC sourcing
Retail, customer loyalty, and eCommerce experience, preferred

Decision Scientist Lead Resume Examples & Samples

Own the capturing, analyzing, synthesizing, assessing, documenting, and verifying of business requirements, processes and workflows
Develop and deliver both regular and ad-hoc reports, and dashboards for leadership to help driven decision-making
Drive innovation and visualization technologies
Outstanding analytical skills, including translating unstructured strategic questions into structured knowledge and exploring relationships between multiple pieces of data
Participate in workgroups, providing analytics data and insights to inform initiatives
Develop and drive multiple cross-departmental projects
Establish brand and team as subject matter experts in analytics across departments
Drive collaboration with technical staff to standardize and systemize routine reports, dashboards, and metrics
Years within data analysis field or discipline Minimum 5 Years Experience
In depth knowledge and experience in several techniques for data visualization skills, e.g. Tableau
Significant experience designing reports using cascading parameters, parameterized reports, report models, and ad-hoc reports
Ability to handle and maintain the confidentiality of highly sensitive information
Expert ability to handle and maintain the confidentiality of highly sensitive information
1-2 years experience with R, SAS or similar
Expert ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases

Decision Scientist Resume Examples & Samples

Data Preparation: Extract data from various databases; perform exploratory data analysis, cleanse, massage, and aggregate data
Data Visualization: Apply basic statistical concepts and descriptive statistics to understand and describe relationships in data; Under guidance of Decision Scientist build predictive models and complex descriptive analytics, such as clustering and market basket analysis
Data / Statistical Analysis & Synthesizing: Participate in discussions with business partners to define business question
Business Consulting:Possesses in-depth business knowledge; Initiates and drives discussions with business partners to identify business issues needing analytic solutions
Insights Packaging & Presentation: Create impactful visual representations of analytic insights and concise summaries of methodology geared to audience needs; present selected portions to stakeholders
Insights Operationalization: Develops processes to automate and scale insights
Analytics Evangelism: Evangelize value of analytics and data among peers
BA/BS w/ concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar
Statistics & coding (R, SAS, SPSS, Stata)
Data manipulation & mining
Familiarity with data science algorithms including machine learning models and with developing solutions for deriving insights from data using visualization techniques
High levels of intellectual curiosity and ability to work independently
Passion for problem solving and developing new solutions quickly

Decision Scientist Resume Examples & Samples

Works with business leaders to identify high impact opportunities
Manages projects to timely conclusions
Communicates analytic findings to diverse audiences
Works with Information Technology (IT) to access, explore and condition data
Implement and validate analytic solutions
Develop and deploy solutions using data analysis, data mining, optimization tools, machine learning techniques and statistics
Strong business acumen with the ability to communicate with both business and IT leaders
Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
Expertise in analyzing large, complex, multi-dimensional datasets using a variety of tools like Statistical Analysis System (SAS), R or Statistical Package for the Social Sciences (SPSS)
Comfortable with both relational databases and Hadoop-based data mining frameworks
Advanced SQL skills and familiarity with Python, Java, C/C++, etc
Strong communication skills through data visualizations, written and oral presentations
Experience interacting with business, technical and quantitative groups
Ability to work closely with internal and external partners

Marketing Decision Scientist, Building Resume Examples & Samples

Partner with marketing, research and product organizations to conduct innovative quantitative analysis to support Building 8
Translate data insights into actions and recommendations. Core focus will be on marketing and communications strategy and plans, at both a brand and product level, but will also include new product development and definition
Develop hypotheses and comprehensive test and measurement plans,
Design and execute experiments to achieve marketing objectives and drive marketing effectiveness
Partner with Engineers to define data and tracking requirements for new products and marketing channels
Develop quantitative analysis, ad hoc reports, and models to support marketing decision making. Analysis areas might include (but not limited to): retention, lifetime value, messaging, promotions, perceptions, usage and engagement
Analyze and maintain marketing metrics to identify cause-effect relationships between marketing actions and behavioral & attitudinal outcomes
7+ years of Decision Science related experience
Presentation skills with a proven track record of using insights to influence executives and colleagues
Knowledgeable with technical product language and brand/product marketing language
Ability to thrive in a dynamic and fast-paced environment, drive change, and collaborate effectively with different individuals and organizations

Healthcare Decision Scientist Resume Examples & Samples

Collaborate closely with academic institution research leadership on a portfolio of imaging-based comparative effectiveness research projects
Apply mathematical and statistical techniques to draw conclusions and make recommendations that will result in strategies to improve health outcomes and reduce healthcare spending
Analyze large data sets to generate insights related to healthcare outcomes and the Siemens value chain portfolio
Analyze data sets to identify quality of life and healthcare cost trends
Identify and propose clinical effectiveness improvements and commercial opportunities for Healthineers based on a deep understanding of care pathways, workflows, and overall healthcare processes
Completion of a post-graduate degree (or significant progress towards completion - PhD or equivalent) in decision science
Data and decision analytics experience in an outcomes-based research project, medical technology, health economics, public health, health services research, epidemiology, biostatistics, health care administration or related discipline preferred
Experience with Excel, TreeAge and other statistical software programs for performing decision modeling and data analysis
Demonstrated experience answering specific questions related to constructing clinical care pathways
Advanced communication skills, including the ability to liaise with a diverse range of stakeholders and to communicate on complex technical issues with technical and non-technical audiences
Great team player with excellent written and oral communication, collaboration, and organizational skills
Systematic, structured, and pragmatic approach to tasks, with high attention to detail
Multi-tasking and comfortable in working in a fast-paced environment. Able to deal positively and patiently with multiple requests and priorities
The ability to acquire new technological and methodological skills

Decision Scientist Resume Examples & Samples

Seek out opportunities to deliver additional value to our customers through examining large and diverse datasets from different perspectives
Utilise the latest data analysis methods and technology platforms available (e.g. Microsoft Azure's IoT Suite)
Interact with customers and stakeholders to identify what their needs are and understand the business problems that affect them
Develop solutions to key business problems that utilise analytics - transforming data available from multiple sources into actionable information so that customers can make better decisions
Degree qualified in Engineering, Physics, Statistics, Mathematics, Computing or other science related field
Strong mathematical and statistical ability along with a proven ability to solve complex business problems with effective solutions in a commercial environment
Experience with software languages such as C#.net, C++, Java
Experience with a Mathematical coding language such as R, Python, MATLAB, MathCAD is desirable
Experience with model based design approaches (e.g. UML, Simulink) is desirable

Senior Decision Scientist Resume Examples & Samples

Leveraging analytics to answer ad-hoc business questions or provide additional insights
Providing reporting for other business partners (i.e. finance, sales, retirement and investment services)
Collaborating with Marketing Managers and other key business partners

Decision Scientist Resume Examples & Samples

Supervise the development and enhancement of data models for statistical modeling purposes, tracking results against actuals, and re-specify when required
Consult across Cox Automotive Media Solutions functional teams on how advanced analytic methodologies can be leveraged to address their business needs
Tracks, analyzes and interprets trends in data in order to provide relevant conclusions and recommendations to management

Decision Scientist, Marketing Infrastructure Resume Examples & Samples

Partner with marketing, decision science, research and product organizations to understand data needs that support our marketing efforts
Develop quantitative analysis, ad hoc reports, and models to support marketing decision-making. Analysis areas might include (but not limited to): retention, lifetime value, messaging, promotions, usage and engagement
Build data expertise and own data quality for the Marketing organization
Design, build and launch efficient & reliable data pipelines, systems, and tools to enable faster consumption and understanding of data
Manage the delivery of high impact dashboards, reports, and data visualizations that track key metrics and performance trends, and provide actionable insights to marketing leadership
Work across multiple teams in high visibility roles and own the solution end-to-end
5+ years of experience in data analysis
Experience using SPSS, SAS, R, Matlab, or similar statistical packages required
4+ years experience with object-oriented programming languages and SQL (Oracle, Vertica, Hive, etc)
4+ years experience with Tableau or other visualization tools
3+ years experience with data warehousing, schema design, dimensional data modeling
3+ years experience in custom ETL design, implementation and maintenance
BA/BS in Computer Science, Statistics, Math, Physics, or other technical field
Ability to identify and communicate data-driven insights
Ability managing and communicating data warehouse and marketing infrastructure plans to internal clients

Lead Decision Scientist Resume Examples & Samples

Work with internal business owners and external partners to understand business requirements and strategy for Cox Automotive Media Solutions; support those goals with modeling and analytics
Consult across Cox Automotive Media Solutions functional teams on how advanced analytic methodologies can be leveraged to address their business needs. Owns and manages relationship with key stakeholders
Makes proactive, data-driven recommendations on marketing or product strategy
Responsible for all facets of predictive analytics project management: from requirements gathering, development of advanced statistical models utilizing typical and atypical methodologies, delivery of findings, and managing production and refinement of results
Ability to organize findings and translate into actionable insights using original or innovative techniques or style

Decision Scientist, Marketing Infrastructure Resume Examples & Samples

PHP and web design experience
An advanced degree in Computer Science, Statistics, Economics, Behavioral or Social Science, or a related quantitative field
4+ years experience with Python

Senior Decision Scientist Resume Examples & Samples

At least 5 years of experience in Decision Science, Data Science and/or Consulting
BA/BS, MA/MS preferred w/ concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar
Innovative, insatiably curious, keen critical thinking skills
Business-applicable experience in several techniques for data visualization skills, e.g. Tableau
Working knowledge of basic statistics; experience with R, SAS or similar
Big Data processing techniques, such as Hadoop / Hive preferred
Expert ability to collect data using a variety of methods, such as data mining & hardcopy or electronic documentation study, to improve or expand databases
Excellent presentation and written communication skills; experience presenting to and dialoging with senior management level audiences. Ability to present complicated material in a concise and effective way. PowerPoint proficiency and storytelling skills required
Ability to simplify and structure complex and ambiguous problems
Ethical rigor and unyielding integrity
Retail experience a plus

Senior Decision Scientist Resume Examples & Samples

Decision Sciences project leader. Responsible for all facets of predictive analytics project management: from requirements gathering, development of advanced statistical models utilizing typical and atypical methodologies, delivery of findings, and managing production and refinement of results
Builds, tests, and maintains algorithms for deployment in real-time systems at scale
Post Doctorate degree (PhD) or Master's degree (M. S./M. A.) and 4+ years related experience and/or training; College degree must be in quantitative discipline (e.g. Math, Statistics, Economics, Biostatistics, Operations Research, Physics, or other quantitative discipline)
Work closely with the business owner as a key subject matter expert to assist them with business strategy and ensuring our analytics drive industry competitive advantage in advanced analytics
4+ years of hands-on coding experience building statistical models in SAS (R, Python, SPSS etc.)
Ability to present and make recommendations to senior management

Decision Scientist Resume Examples & Samples

Strong skills using Base SAS statistical software including macro programming are required; Experience with other software such as R and Anaconda a plus
Experience querying data using SQL
Proven experience applying analytical and problem-solving skills to develop innovative solutions
Ability to present analytics to decision makers in a clear and understandable fashion
Applied experience in the areas of modeling binary outcomes preferred
Ability to complete self directed analysis
Applied knowledge developing predictive models using regression analysis and decision trees a strong plus
Applied knowledge using machine learning a strong plus
Master's or PhD preferred in Statistics or other highly quantitative field
1-3+ years applied experience using statistical software for data manipulation and analysis
Produce predictive risk models, using statistical techniques such as logistic regression models, to reduce company and client losses
Determine value of numerous internal and external data sources in managing risk in the face of fraud
Query data from Oracle databases and other database management systems to produce data sets for analysis
Import text files of various formats from different sources to match against internal data to produce analysis for external clients
Recommend optimal risk management strategies based on results of analytical research
Summarize and present research to peer groups, senior management, and external clients when requested
Consult with various groups in the business in the use of decision sciences to improve the effectiveness risk management strategies
Most importantly, develop innovative solutions with minimal guidance to meet financial goals