Decision Scientist Resume Sample
Maximo Schulist
4226 Hahn Forest,
Dallas,
TX
+1 (555) 339 8998
Work Experience
Senior Decision Scientist
11/2015
-
PRESENT
Chicago, IL
- None in the near-term. However, as indicated in the proposed career framework (attached document), we do expect this resource to act as a team-lead of maybe 2 – 3 resources as they begin to specialize in some Decision Science capability
- M.S. or Ph.D. in economics, decision science, statistics, engineering, applied math, operations research, or a related quantitative field
- Direct experience working with data-sets
- Thrive in an environment and collaborate with a different individuals and organizations
- Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (work-processing, spreadsheet, graphics, etc.)
- Apply principals of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formula, scientific equations, graphs, musical notes, etc.,) in its most difficult phases, ability to deal with a variety of abstract and concrete variables
- Thrive in an environment and collaborate with different individuals and organizations
Decision Scientist
12/2009
-
10/2015
Dallas, TX
- Leads data preparation, manipulation & data extraction including identifying and revising enterprise reporting requirements
- Translate unstructured strategic questions into structured knowledge and explore relationships between multiple pieces of data
- Product analytic results (reports, charts, graphs and tables) to support key business problems. Distribute and disseminate reports to applicable agencies, researchers, management and other internal end-users
- Apply statistical concepts/methodologies to solve business problems
- Work closely with marketing, finance, strategy (and other internal stakeholders) partners to deliver insights from key programs and campaigns to measure efficacy in driving customer engagement and revenue
- Develop and maintain dashboards and data visualizations to support key business problems
- Design experiments to support proper measurement of critical business initiatives and campaigns
- Lead and evangelize value of analytics and data among peers
Healthcare Decision Scientist
03/2005
-
07/2009
Phoenix, AZ
- Partner collaboration with technical staff to standardize and productionalize routine reports, dashboards, and metrics
- Designing, developing, and implementing decision support tools
- Identifying automation opportunities to help business team increase time spent analyzing results
- Develop quantitative analysis, ad hoc reports, visualizations and models to support marketing decision making. Analysis areas might include (but not limited to) retention, lifetime value, messaging, promotions, usage and engagement
- Communicate the results of analyses and data visualization
- Communication skills to represent marketing analytics in cross-functional discussions
- Build predictive models using statistical and machine learning methodologies
Education
University of Minnesota, Morris
2000 - 2005
Science's Degree in Economics
Professional Skills
- Experience applying analytical and problem-solving skills to develop innovative solutions
- Possess strong analytical, strategic, project management, decision-making and problem-solving skills
- Strong understanding and application of statistical methods and skills
- Effective coding, documentation and communication skills along with the ability and credibility to mentor less experienced Data Scientists
- Prior agency or client-side experience in media analytics, MTA and advertising measurement
- Experience with basic statistical languages; experience with R, Python, SAS, SPSS, etc
- Prior experience in Automotive/Vehicle analytics or Telematics is desired
How to write Decision Scientist Resume
Decision Scientist role is responsible for design, software, analytical, quantitative, advanced, training, database, marketing, analysis, reporting.
To write great resume for decision scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Decision Scientist Resume
The section contact information is important in your decision 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 Decision Scientist Resume
The section work experience is an essential part of your decision 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 decision 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 decision scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Decision Scientist resume experience can include:
- Strong written and verbal communication is required along with strong presentation skills and business acumen
- Experience with statistical modeling and data mining in a business context using large and complex datasets
- Hands-on coding experience building statistical models in SAS, R, Python, SPSS etc
- Experience in creating forecast and forecasting processes
- Extensive experience analyzing data and a broad understanding of core statistical and ML techniques
- In depth knowledge and experience in media, content, and social campaigns and reporting
Education on a Decision Scientist Resume
Make sure to make education a priority on your decision scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your decision 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 Decision Scientist Resume
When listing skills on your decision 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 decision scientist skills:
- Presentation and interpersonal skills, professionalism, flexibility and ability to handle confidential information with discretion
- Demonstrated successful experience in statistical or data science roles
- Strong understanding of the buying and bidding strategy within media channels, media and audience targeting, and how to derive and optimize to KPIs
- Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, SAP HANA, ect.)
- Thoroughly documents assumptions, methodology, validation, and testing
- Knowledge of or experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, etc.)
List of Typical Experience For a Decision Scientist Resume
1
Experience For Senior Decision Scientist Resume
- Consult with various groups in the use of decision sciences to improve the effectiveness of business strategies
- Create analyses for internal stakeholders as well as clients
- Summarize and present findings to peer groups, senior management, and clients
- Evaluate internal and external data for use in products
- Work with data vendors and furnishers to facilitate data acquisition and collection
- Monitor and maintain quantitative models
- Share knowledge and learn from other members of analytics team
2
Experience For Decision Scientist, Marketing Infrastructure Resume
- Use quantitative and analytical skills along with analysis tools (e.g. SAS, R, etc) to develop ad hoc analyses, forecasts, segmentations, predictive models. Is assigned and conducts advanced statistical studies/techniques on behalf of department
- Remains abreast of developments in the field(s) of mathematical analysis, market research and economic analysis by pursuing a program of self-development, participating in professional organizations, interacting with peers, reviewing pertinent literature, and so forth. Incorporates advancements when practicable and cost effective
- Identifies and reports on competitive and environmental trends as they effect clients and markets, and endorses strategies to capitalize on opportunities dictated by such trends, and evaluates effectiveness
- Builds analytical data sets, including development of programs for the extraction and transformation of data across multiple platforms, including mainframe, server and desktop using tools like SAS, R, Python, SQL, etc
- Prepares and presents PowerPoint presentations summarizing analysis findings and recommendations, providing actionable insights to business decision makers. Contribute in multiple, simultaneous projects, working on cross-functional teams in project definition, execution and delivery
- Executes all phases of quantitative research projects: identifying the business problem, data exploration, modeling, communication of final results
- Other requirements to include but not limited to
- Leverage the latest cloud technologies, existing and immerging statistical and machine learning techniques to identify data patterns and trends to solve business problems
3
Experience For Healthcare Decision Scientist Resume
- Utilize data to show quantifiable hypotheses to improve the digital customer experience
- Develop robust multi-touch marketing attribution models to inform strategy and optimize allocation of marketing media spend
- Build and deploy customer segments to facilitate optimal marketing targeting within channels
- Use 1st, 2nd, and 3rd party customer data in next generation privacy compliant infrastructure to help Starbucks optimize digital engagements with our 75M customers
- Build models and leverage ML: incremental lift (uplift), digital menu board optimization, next-best product recommender, enhanced engagement in games, context-driven re-enforced learning, weak learners…
- Establish and foster close collaboration between data science, engineering, business and leadership teams to align on technical roadmaps for innovation
- Lead innovative packaging and presentation of insights to business leaders and broader analytics community
- Actively participate in an Agile team structure designed to create a bias for action (fail fast/often)
- Provide statistical design of experiments support to orgs to maximize actionable learnings
4
Experience For Marketing Decision Scientist, Building Resume
- Establish brand and team as subject matter experts and trusted advisors for Analytics across departments
- Extract data from various databases; perform exploratory data analysis, cleanse, massage, and aggregate data
- Evangelize best practices in digital data analytics among peers and stakeholders
- Participate in discussions with business partners to define business question and recommend appropriate methods to address business questions
- 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, implementation of additional analytics tags)
- An industry leader in the media and social marketplace, tying exposure data for channels such as search and display, social, campaign, content, and video to business outcomes
- Proven track record delivering successful data science projects
- Be a stakeholder for our simulation! Help guide and prioritize development of behavioral models to enhance the our capabilities
5
Experience For Lead Decision Scientist Resume
- Inform simulation development with behavioral model prioritization
- Develop simulation validation and methodology
- At least three years progressive experience in business/financial analysis positions preferably in the financial services/brokerage industry
- Previous experience in a ML or data scientist role with a large global company
- Total experience – 12 – 13 years
6
Experience For Decision Scientist Senior Resume
- Working knowledge of visualization tools (i.e. PowerBI, Tableau, Shiny, etc.)
- Identify opportunities to leverage new data sources across disciplines, improving insights for marketers, social, and media teams
- Expertise with R, Python, Java, C or similar language, along with standard machine learning libraries
- ML contributor in the data science community and loves participating in kaggle competitions and has active public github repositories
- Understand the business! Work directly with stakeholders to address their needs
7
Experience For Fraud Decision Scientist, Digital Ventures Resume
- Relentlessly analyze and improve the performance of our business
- Delivers the next best innovation in the use of data science for the agency and our clients
- Reports to Director, Decision Science
- Identify, research, prototype and build predictive products
- Translate and Champion our ML capabilities for non-technical audiences
8
Experience For Decision Scientist Lead Resume
- Model system interactions and behaviors for company initiatives. Hypothesize about subsystem interactions and effects. Run experiments and test your theories
- Work with our simulation analyst to calibrate input distributions
- Identify new behavioral models and fit distributions to match real-world behaviors
- Model system interactions and behaviors for various holistic initiatives
- Test out new algorithms and business policies with our crack operations research team
9
Experience For Decision Scientist Resume
- Work collaboratively with multiple levels of the organization
- Experience in data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses for customer segmentation, consumer sentiment or perception, and outbound online marketing campaign evaluation
- Proficiency in a variety of coding languages (SQL, Python, R or similar)
- Demonstrated successful statistical modeling experience in food distribution, retail, CPG, or related industries with large datasets and transactional data
- Data science experience
- Experience in building multiple regression model, mixed model, time series model, neural network, cluster analysis, text mining, and have prior experience in optimization, simulation, marketing mix, multivariate testing, ensemble modeling, graph algorithms
List of Typical Skills For a Decision Scientist Resume
1
Skills For Senior Decision Scientist Resume
- Experience working with third party agencies, measurement and ad instrumentation toolsets
- Build machine learning solutions to drive operational efficiency, improve customer experience and to generate revenues for the Assurant lines of business
- Participating in the design and development of new products/services, especially in regards to modeling and forecasting
- Understanding of media metrics, social campaigns, attribution and measurement methodologies and operationalizing those findings
- Working knowledge of tools (e.g. SQL, R, Python) to process data from big data environments
- Ph.D. in operations research, applied statistics, data mining, machine learning or related quantitative discipline
- Create reporting and pull reporting data
2
Skills For Decision Scientist, Marketing Infrastructure Resume
- Consults internal clients regarding business requirements, analytical approach and deliverables, project planning and cross-organizational responsibilities
- Comfort in working within a test and learn framework to drive advertising and social learnings for influence of optimization strategy
- Client/Account facing responsibilities representing data science solutions
- Determine relevant quantitative methods for solving client issues
- Model system interactions and behaviors for various holistic initiatives including subsystem interactions
- Question our assumptions! Find new and better ways to do what we’re doing
- Test new delivery routing algorithms and business policies with our crack Decision Science team
3
Skills For Healthcare Decision Scientist Resume
- Responsible for driving the structure and utilization of data science methodologies
- Mentor our team members in Decision Engineering! Make our methodology and recommendations top notch
- Partner with our marketing teams to make well-informed decisions backed by product usage data and survey results
- 2 – 3 weeks per annum
- Supports methodology and implementation development to deliver analyses and recommendations that enable business functions to make informed decisions
- Leverages business/analytical knowledge to participate in discussions with cross-functional teams to understand and collaborate on business objectives and influence solution strategies
- Applies innovative and scientific/quantitative analytical approaches to draft conclusions and actionable recommendations that answer business objectives
- Identifies and gathers the relevant and quality data sources required to fully answer and address the problem from the recommended strategy through testing or exploratory data analysis
- Integrates and manipulates disparate data sources and determines the appropriate data hygiene techniques to apply
4
Skills For Marketing Decision Scientist, Building Resume
- Delivers analysis/findings in a manner that conveys understanding, garners support for recommendations, drives business decisions, and influences business strategy
- Experience with R, Python or similar
- Experience with cloud-based infrastructure nice to have (AWS, Azure)
- Strong test and learn (experimental design, hypothesis test) is required
- Knowledgeable in creating statistical and machine learning models
- Proficient is using statistical software such as SAS, R, Python
- Leads Courageously:Takes personal responsibility to do the right thing and persists in times of challenge or uncertainty. Adapts quickly to change and makes timely, thoughtful decisions
- Makes proactive, data-driven recommendations on improving internal business operations
- Developing consistent reporting tools for various marketing campaigns and product promotions so as to provide senior management with timely marketing campaign performance results (asset gathering, product cross-sell, retention)
5
Skills For Lead Decision Scientist Resume
- Determining the effectiveness of promotions, creative messaging, and distribution channels
- MBA or Management consulting experience
- Modeling experience with logistic regression, OLS regression, time series analysis and survival analysis
- 2 – 3 years’ experience in the Asset Management industry
- 3 – 4 years’ experience in the Asset Management industry
6
Skills For Decision Scientist Senior Resume
- Experience with SQL (Oracle, Teradata, etc.)
- Experience with SAS, R, Python, SQL, etc
- Work independently, prioritize workload, multi-task and follow-up as necessary in a fast paced environment
- Delivering program/campaign forecasts and comparing actual performance to projections. Evaluating return on marketing investment
- Identifying new opportunities through offer/promotion and marketing channel testing, population segmentation, etc
- Ensuring integrity and quality control of all reporting related data
- Working with cross-functional team to integrate campaigns into optimal spend and resource allocation
7
Skills For Fraud Decision Scientist, Digital Ventures Resume
- Working knowledge of statistical inference, in particular experimental design
- High proficiency with Excel including pivoting capabilities and analysis modules
- Education: BA/BS w/ concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar
- Analytical ability to evaluate broad range of issues related to the company’s financial performance and the impact the external economic environment has on it
- Computer science background, comfortable working with both technical and non-technical staff to translate concepts and algorithms into working prototypes
8
Skills For Decision Scientist Lead Resume
- We are specifically looking for candidates from Tier 1 statistics, engineering and management schools such as ISI, IITs, IIMs and ISB
- Comfortable with (or in learning) Azure tech stack: in particular use of Spark and HD Insights Clusters to deploy solutions at scale
- Work in a collaborative production-like environment that includes best practice code documentation, testing and reviews
- Firm understanding of digital data collection
- Mastery of statistical software, scripting languages, and packages (e.g. Python (Scikit-learn ), R, Matlab, etc.)
9
Skills For Decision Scientist Resume
- Project management abilities and the ability to interact with associates at all levels
- Experience with the following types of statistical analyses: Predictive Modeling, Time Series Analysis, Exploratory Data Analysis, Segmentation and Cluster analysis, Customer Modeling (i.e. Retention, Reactivation, Cross-sell)
- Base statistical experience: A/B statistical inference testing, design of experiments, standardization techniques, best practice in model building
- High proficiency with Excel and PowerPoint; experience with R, SAS, Python or similar
- High proficiency in either R or Python
- High proficiency with SQL
10
Skills For Senior Decision Scientist Resume
- High proficiency with one or more digital analytics platforms (Google Analytics, Adobe Analytics)
- Hybrid at your core- Part statistician, part computer scientist, part researcher, looking for order and patterns in data. This is an incredible opportunity for hybrid thinkers that love to learn and synthesize in a high-performing culture
- Cognitive and Communications Skill - Highly articulate, built upon an underlying fundamental clarity of thought. General ability to root out fundamental issues, bring order from chaos, synthesize elegant insights, and drive to clear decisions
- Leadership - Primary focus of building something of significance. Willingness to roll up sleeves and do whatever it takes. Self-confidence, poise, and personal presence that inspires confidence in others. Charisma, gravitas, intellect, flexibility, and integrity that motivates others to trust, collaborate, and follow
- Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, association rule, linear and non-linear regression, hierarchical mixed models/multi-level modeling, and ability to answer questions about underlying algorithms and processes
- Strong statistical background with hands-on and leadership experience in
- Experience with both Bayesian and frequentist methodologies
- Experience in Automotive/Telematics or Insurance industry
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